#nonlinear circuits

[chadobi]

Honestly, guys, this was the hardest one to write out of all my fanfics, so please be gentle! 😭

“Stasis and Static”

Rise!Donatello x Reader

The purple-blue glow from his lab is the only light in the hallway.

Again.

You’re not sure how long Donnie’s been in there — this time — but you know the pattern well enough by now. He vanishes after dinner, mutters something about “breakthroughs” or “nonlinear code constraints,” and doesn’t reappear until someone physically removes him or his body gives out.

Tonight, you’re opting for the former.

You don’t bother knocking. The lab doors slide open with a quiet shhhh of hydraulics, and you’re instantly hit with the scent of solder, ozone, and a hint of the energy drinks he swears aren’t addictive.

Donnie doesn’t look up. He’s hunched over a table full of blinking circuits, goggles low over his eyes, stylus tapping rapidly on a holographic display.

“Unless this is an offering of caffeinated bribery or a sudden alien invasion, I’m afraid I’ll have to pencil you in for tomorrow, mon amour.”

You fold your arms.

“You haven’t slept. Or eaten. Or spoken to anyone but your AI assistant in sixteen hours.”

He sighs. The goggles come off, and his eyes — glassy, glowing faintly in the lab light — meet yours.

“Ah. Busted.”

You approach slowly, like he might spook — not from fear, but from the weight of something real cutting through the static.

“You okay?”

It’s a stupid question. But it hangs in the air like a thread.

Donnie leans back in his chair, exhaling hard, rubbing a hand over the back of his neck. He doesn’t answer right away.

“There’s a problem in the new exo-suit relay. The data doesn’t sync, and—”

He stops. Looks at you.

“No. I’m not.”

Your heart cracks a little, even as you move closer.

“Tell me?”

He hesitates. Then—

“Every time I get close to something working, it slips. Like the moment I think I’m enough — smart enough, strong enough, useful enough — the numbers glitch and I spiral all over again.”

You reach out and place a hand over his. Gently. Warm.

“You don’t have to earn your worth through invention, Donnie.”

He stares at your fingers on his. Then back at your face. His voice softens.

“It’s the only way I know how.”

Silence. Then:

“Let me show you another way,” you whisper.

You’re not sure who moves first — him, or you. But the next thing you know, you’re curled together on his massive beanbag chair in the corner of the lab, wrapped in a blanket that smells like him (and a little like wires).

He’s stiff at first — nervous, unpracticed in this sort of softness — but his arms eventually find their way around your waist, his shell fitting perfectly against your spine.

“This is highly inefficient,” he murmurs, voice muffled against your shoulder.

“I could be fixing—”

“—your brain, your heart, your sleep cycle?” you finish. “Yeah. I am.”

He lets out a breath of a laugh. It rumbles through his chest into your back.

Then, quietly:

“You make the static stop.”

Your heart swells.

“You’re more than your mind, Donatello. You’re… you. And I like you. All of you.”

He’s quiet for a long moment.

“That includes the flaws, yes?”

“Obviously.”

“The sass?”

“Unbearably charming.”

“The mild god complex?”

“Needs adjustment. But manageable.”

He laughs again, soft and real this time. And finally, finally, he leans his head fully against yours.

And sleeps.

[transgenderer]

it always kind of annoys me when people call the usual circuits shit as "real life magic". i mean i kind of get it but its not that crazy. its like, fine, you can teach it to an undergrad. it has crystals but they dont even do anything. BUT antennas are genuinely some wizard bullshit. simple circuits are simple and complex circuits you just put them together. its fine. antennas are some nonlinear bullshit.

[flimflamfandom]

Flimflamuniverse Character Breakdown!

Have you ever been reading one of my fics and asked something like-

"Whaddya MEAN Freckle has an accent?"

"Why do they end up in Hollywood?"

"Who's Rocky dating, anyway!?"

Well WONDER NO MORE! This post is the comprehensive list for all yer Flimflamfandom character quirk questions!

Essentially all of the changes are character based, but we will be talking about slight setting differences as well.

Let's dive in!

THE SETTING:

Most of the setting is exactly the same - late 20s St. Louis!

HOWEVER -

During later period stuff (anything from 1929 onward) several of the characters have taken up roots and gone to Hollywood! This has to do with various career moves that take place over the duration of the AU

Significant parts of Calvin's story now take place in Cork, Ireland - this will be explained more in depth later.

IT SHOULD BE NOTED that by the time my AU takes place, the Daisy has picked up significantly in business.

THE CHARACTERS:

It's important to note that NONE OF THE CHARACTERS' CRIMINAL ATTRIBUTES WERE REVEALED UNTIL AROUND THE MID 70S, and by then, the shock and horror of this sort of thing were replaced with fascination.

CALVIN MCMURRAY:

1909-1939

Calvin's childhood is the same, up until the nebulous "incident" that gets Rocky kicked out of home. Because of this, Nina gets a bit spooked, and sends Calvin to finish his basic schooling in County Cork, Ireland. He completes his schooling, and comes back home just in time for the "event" at the police academy.

During his time at the Daisy, Calvin becomes very interested in writing, and begins writing for the Times Dispatch about baseball games. He eventually begins writing screenplays when he moves with Ivy to California. He writes 3 novels, 2 short story collections, and 3 books of poems, on top of 4 screenplays. He's a busy guy!

Unfortunately, sometime around 1936, he develops a form of tail cancer. He dies in 1939, just 10 days shy of his 30th birthday.

QUIRKS: -Calvin has an accent! He's a cork boy. He sounds like a Cork boy. -By the time of his death, Calvin has a son, named Finn.

IVY PEPPER:

1909-1999

Ivy's childhood and such don't change much at all. 'Cept a secret that has to do with Mitzi, but shh! It's a secret!

Ivy is majoring in mathematics at college, and she's MAJORING majoring in it. her specialty seems to be advanced algebra - ring theory, nonlinear algebra, stuff like that. She slowly starts to see herself doing less and less in the field, but she always keeps an interest in it, attends conferences, etc.

The thing that REALLY interests Ivy, though, is her theater course. She takes one as an arts credit and LOVES it! She turns out to be kind of a prodigy on stage! She does some more acting here and there, and happens to meet a producer of films in 1929, after she's changed names to Ivy McMurray. She drags Calvin out to Hollywood with her, and stars in at least a dozen films, winning awards for quite a few of them!

By her retirement from acting in the 1960s, (her last picture netted her an award, by the way) she began to help get all of her old things from the Daisy together, and turn them into a museum, called the Daisy Club Museum. She helped run and fund the museum until her death in 1999, just 2 weeks into the age of 90.

QUIRKS: -Won 5 Oscars - 3 best supporting, 2 best actress. -Contributed her skills and research to at least 3 Algebra textbooks, -Never remarried after Calvin - she was quoted as saying "He'll love me when I get where he is, too."

ROCKY RICKABY:

1904-1989

Rocky's time at the Daisy is marred by his failed romances. He swears he must be the most unlovable person on earth! In the AU, I used to have an OC set aside for him, but nowadays I keep it vague and just say he has a wife and kids. ANYHOW, after the Daisy, Rocky manages to recover a tad from his head wound, and, get this - became a comedian. He even had a circuit of all the speakeasies.

Rocky did need a job after all of that though, and ended up, eventually, in broadcasting, which turned into being a comedian, which turned into his own radio show, which turned into a television show in the early days of TV. Rocky moved out to Hollywood and accidentally bought the house right next to Ivy and Calvin's.

A man with a good reputation, even AFTER it came out that he was a serious gangster, Rickaby died peacefully in 1989, at the age of 85.

QUIRKS: -Rocky was a staunch civil rights, woman's rights, and gay rights activist up until the very end. This would often get him in trouble with networks and producers. -Really liked the Beatles when they crossed over to the US -There is a very persistent rumor that he was in the OSS during World War 2 - in fact, he was not, but he did do work for the Signal Corps making mildly funny training films.

MITZI MAY:

?-1980

Little is known of her childhood, or her adolescence before the Daisy.

Plenty is known AFTER it though!

Mitzi, unlike the others, was not headed for entertainment afterwards. She, instead, lived with Sedgewick Sable, and indeed remarried, but never took his last name. As the pressure from the depression started to ease, she managed to turn all that Daisy property (and all of the hidden away stash money) into a hotel! Mitzi became an incredibly successful hotelier, owning and helping to operate no less than 5 luxury hotels by 1956.

By 1970, she had gotten in touch with Ivy Pepper again, and asked about the Daisy Club Museum - she was instrumental in getting it started, as she still sorta owned the caves down there. She had the diea of making it a living history museum, and she also had the idea of making it like a sort of themed resort.

She died in her sleep in 1980. No one was precisely sure of her age.

QUIRKS: -No one really knows her age -She has a secret about Ivy that she's never told a soul, and it went with her to her grave -Mitzi had one known child by Sedgewick Sable - Minerva, born in 1934. Minerva became a costumer.

SEDGEWICK SABLE:

1895-1985

After the depression hit, Sable was distraught and destitu-JUST KIDDING, that paranoid buffoon hid cash in the walls. The WALLS, I tell you! It wasn't a ton, though, and they coasted by until the New Deal came around.

Work projects need work materials, and Wick was able to help provide them. With a new purpose, new drive, and tons of resources, Wick managed to get the company going again, renaming it to Sable Construction Materials, later just SCM. He even had to buy 3 Lake Freighters - the company still operates lake freighters today!

At the age of 90, Wick passed away in his sleep.

QUIRKS: -While Wick and Calvin were never close, both were HUGE baseball fans - Wick was obsessed with the Red Sox. -Wick was a surprisingly involved boss - most employees knew him personally.

MORDECAI HELLER:

1899-1983

At some point, Mordecai returned to the Daisy, to work with Calvin McMurray as a 'fix it' man. Mordecai admired the work, and stayed put until the place stopped being illegal.

After bouncing from job to job, thinking he would end up back in organized crime, Mordecai settled down in New York after finding out the man who wanted him dead had been killed in a car accident. Mordecai became an accountant and theater manager on Broadway - not a STAGE manager, mind you, just the guy who runs the theater. He really quite liked the work!

Mordecai Heller died in 1983 at the age of 84, of lung cancer.

QUIRKS: -Mordecai was a homosexual, and was well known as such. -Mordecai, a seemingly ice hearted man, actually kinda liked musicals...well. Good ones, anyway. -His least favorite show up there was Seesaw. His favorite was Pacific Overtures

VIKTOR VASKO:

1886-1978

After the Daisy became a legal operation, Viktor just...kept working there. You still need someone to lift boxes and tend a bar when it's legal, too! Viktor was actually a loyal employee of Mitzi until 1943, when he left to run a construction firm in St. Louis. He did that, and had a fairly uneventful life, dying in 1978 at the age of 92.

QUIRKS: -Viktor never remarried - but he did reconnect with his wife and daughter sometime in 1935. -Viktor's daughter went on to become a famous operatic soprano, and even served at the Met for a time. -Viktor never outed any of his former associates, even when talks of the Daisy Museum were beginning. He refused, worrying that he'd sully people's reputations.

DORIAN ZIBOWSKI:

?-1954

After the depression, it became harder for clubs to keep full time musicians. Zib was still at the Daisy until about 1932. Fortunately for him, in 1933, his old...work acquaintance? Rocky was running a radio show out of Los Angeles and was asked to help find a band leader.

After a brief stint on this show, Zib began to lead bands at the cutting edge of Jazz music - he considered becomeing an academic, but he never found the time to think too hard about the option.

A lifetime of smoking and drinking caught up to him fiercely, and he died of Lung Cancer in 1954.

QUIRKS: -He's still made outta triangles! -Zib learned to play every saxophone, and every reed instrument he could get his hands on. -Zib's final record was a live recording at the Pershing Lounge in Chicago, Illinois, 4 years before Ahmad Jamal made it famous.

THE SAVOYS:

Nico: 1900-1978 Serafine: 1902-1983

Little is known of the Savoys after their return to Louisiana in 1931. Some say Nico got back into boxing, or that Serafine was responsible for a rash of killings.

The two died peacefully in their homes, and lived to perfectly normal old ages...and yet, it seemed so suspicious when Nico died. He was just...on his back porch. With a note that was written in code...

QUIRKS: -Nico did, in fact, go back into boxing, but left for professional wrestling - the fictional kind. Serafine was, for a time, a voodoo practitioner for hire, who was well regarded in her community -Neither married, but both had several relationships

THE ARBOGASTS:

Abelard: 1886-1987 Bobby: 1898-1975 Elsa: 1900-1975

The Arbogasts lead a quiet, mostly obscure life, save for Abelard, who becomes quite the lit up theologian. He starts a cult in the woods of Missouri, and is found dead after his 101st birthday. The cult, as many do after a leader dies, fell into disarray and eventually splintered.

Bobby and Elsa dropped the funeral routine and moved closer to the city - Bobby became a school teacher and Elsa became a nurse. The two died months apart in 1975.

QUIRKS: -Elsa and Bobby were just about as in love with each other as Calvin and Ivy. -Bobby had severe PTSD from the war, and would often have episodes. Elsa hated seeing him that way, but helped him. -Abelard's Cult, "the new Thinkers", was bizarrely peaceful as cults are concerned. They never ate Fish, though...

LACY HARDT:

1904-1994

Lacy was a loyal employee of Sedgewick Sable for the first year after the depression. Eventually, though, she married Arthur Keane (an OC you can read about here), a guitarist, and moved with him to his hometown of Virginia Beach. There, she lived with him as an assistant to many prominent locals.

Eventually, the two moved again, back to Peoria, to take care of Lacy's ailing mother. This was around 1934. After Lacy's mother passed in 35, she was distraught. So, she decided to find a new hobby - writing and illustrating children's books. She got onto the idea after a phone call with Ivy, who handed over Calvin's agent's information.

When she retired, Lacy moved back to Virginia Beach with Arthur, who died a year before she did. QUIRKS -Lacy won a Caldecott Medal, and displayed it in her home office until her death -Until after her death, it was kept a secret by the McMurray family that Lacy, who was close with them, had been writing Finn (Calvin's son) notes as Mrs. Claus, as well as little stories, which eventually became her 'Rudy Sees the World' books.

THAT'S ALL I'M WRITING FOR NOW!

Again, pretty much all the changes are to the characters - the setting is, for the most part, untouched! I will be writing more about the AU when I get the chance, though!

[materialsscienceandengineering]

Scientists demonstrate innovative perovskite waveguides with edge lasing effect

Integrated photonic circuits operating at room temperature combined with optical nonlinear effects could revolutionize both classical and quantum signal processing. Scientists from the Faculty of Physics at the University of Warsaw, in collaboration with other institutions from Poland as well as Italy, Iceland, and Australia, have demonstrated the creation of perovskite crystals with predefined shapes that can serve in nonlinear photonics as waveguides, couplers, splitters, and modulators. The research results, published in the journal Nature Materials, describe the fabrication of these innovative structures and the edge lasing effect. In particular, this effect is associated with the formation of the condensate of exciton-polaritons, which are quasiparticles behaving partly like light and partly like matter.

Read more.

[david-watts]

also whilst it is a case of poor aging in terms of technology as a lot of computers were quite large in the early eighties, I personally think that the large banks of computers on gallifrey would actually be realistic since they're storing so much information and not only that it has to have logic circuits to deal with nonlinear time, which would probably eat up a lot of space

[compneuropapers]

Interesting Papers for Week 12, 2024

Neural representation of goal direction in the monarch butterfly brain. Beetz, M. J., Kraus, C., & el Jundi, B. (2023). Nature Communications, 14, 5859.

The scope and role of deduction in infant cognition. Bohus, K. A., Cesana-Arlotti, N., Martín-Salguero, A., & Bonatti, L. L. (2023). Current Biology, 33(18), 4014-4020.e5.

Increasing associative plasticity in temporo-occipital back-projections improves visual perception of emotions. Borgomaneri, S., Zanon, M., Di Luzio, P., Cataneo, A., Arcara, G., Romei, V., … Avenanti, A. (2023). Nature Communications, 14, 5720.

Dopamine and glutamate regulate striatal acetylcholine in decision-making. Chantranupong, L., Beron, C. C., Zimmer, J. A., Wen, M. J., Wang, W., & Sabatini, B. L. (2023). Nature, 621(7979), 577–585.

Perturbed Information Processing Complexity in Experimental Epilepsy. Clawson, W., Waked, B., Madec, T., Ghestem, A., Quilichini, P. P., Battaglia, D., & Bernard, C. (2023). Journal of Neuroscience, 43(38), 6573–6587.

Common population codes produce extremely nonlinear neural manifolds. De, A., & Chaudhuri, R. (2023). Proceedings of the National Academy of Sciences, 120(39), e2305853120.

Dimensionality reduction reveals separate translation and rotation populations in the zebrafish hindbrain. Feierstein, C. E., de Goeij, M. H. M., Ostrovsky, A. D., Laborde, A., Portugues, R., Orger, M. B., & Machens, C. K. (2023). Current Biology, 33(18), 3911-3925.e6.

Information-theoretic principles in incremental language production. Futrell, R. (2023). Proceedings of the National Academy of Sciences, 120(39), e2220593120.

Echoes from Intrinsic Connectivity Networks in the Subcortex. Groot, J. M., Miletic, S., Isherwood, S. J. S., Tse, D. H. Y., Habli, S., Håberg, A. K., … Mittner, M. (2023). Journal of Neuroscience, 43(39), 6609–6618.

Intrinsic dopamine and acetylcholine dynamics in the striatum of mice. Krok, A. C., Maltese, M., Mistry, P., Miao, X., Li, Y., & Tritsch, N. X. (2023). Nature, 621(7979), 543–549.

Multiple dynamic interactions from basal ganglia direct and indirect pathways mediate action selection. Li, H., & Jin, X. (2023). eLife, 12, e87644.3.

Internal feedback in the cortical perception–action loop enables fast and accurate behavior. Li, J. S., Sarma, A. A., Sejnowski, T. J., & Doyle, J. C. (2023). Proceedings of the National Academy of Sciences, 120(39), e2300445120.

A role for ocular dominance in binocular integration. Mitchell, B. A., Carlson, B. M., Westerberg, J. A., Cox, M. A., & Maier, A. (2023). Current Biology, 33(18), 3884-3895.e5.

The representation of occluded image regions in area V1 of monkeys and humans. Papale, P., Wang, F., Morgan, A. T., Chen, X., Gilhuis, A., Petro, L. S., … Self, M. W. (2023). Current Biology, 33(18), 3865-3871.e3.

Switching between External and Internal Attention in Hippocampal Networks. Poskanzer, C., & Aly, M. (2023). Journal of Neuroscience, 43(38), 6538–6552.

Reward expectations direct learning and drive operant matching in Drosophila. Rajagopalan, A. E., Darshan, R., Hibbard, K. L., Fitzgerald, J. E., & Turner, G. C. (2023). Proceedings of the National Academy of Sciences, 120(39), e2221415120.

Engram stability and maturation during systems consolidation. Refaeli, R., Kreisel, T., Groysman, M., Adamsky, A., & Goshen, I. (2023). Current Biology, 33(18), 3942-3950.e3.

Different rules for binocular combination of luminance flicker in cortical and subcortical pathways. Segala, F. G., Bruno, A., Martin, J. T., Aung, M. T., Wade, A. R., & Baker, D. H. (2023). eLife, 12, e87048.3.

Anatomical restructuring of a lateralized neural circuit during associative learning by asymmetric insulin signaling. Tang, L. T. H., Lee, G. A., Cook, S. J., Ho, J., Potter, C. C., & Bülow, H. E. (2023). Current Biology, 33(18), 3835-3850.e6.

Robust multisensory deviance detection in the mouse parietal associative area. Van Derveer, A. B., Ross, J. M., & Hamm, J. P. (2023). Current Biology, 33(18), 3969-3976.e4.

[padmavahini]

Converter Duty Transformers: Empowering Industrial Conversions with Precision and Reliability

Introduction:

In today’s industrial and power electronics sectors, converter duty transformers play a critical role in enabling the smooth conversion of AC to DC or vice versa. These transformers are specially engineered to handle the complex demands of converters such as rectifiers, inverters, and variable frequency drives (VFDs). Built with high thermal and mechanical endurance, they are essential in applications that require stable voltage, reduced harmonics, and high current handling.

Purpose of Converter Duty Transformers:

To provide stable and regulated voltage for power electronic converters

To withstand high harmonic distortions and transient loads

To ensure safe and efficient power conversion in DC applications

To isolate converter systems from the utility grid for safety and reliability

To support continuous duty cycles in critical industrial processes

Key Features:

High Short-Circuit Strength: Engineered for heavy-duty industrial applications

Harmonic Resistance: Designed to handle nonlinear loads and harmonic currents

Excellent Thermal Performance: Capable of withstanding high temperatures during prolonged operation

Robust Construction: Heavy-duty windings and core with advanced insulation

Multiple Tap Settings: Allows voltage adjustment to suit specific load requirements

Electromagnetic Shielding: Reduces noise and ensures clean output

Custom Designs Available: Tailored to meet unique converter or rectifier specifications

Applications:

Converter duty transformers are essential in various industries and applications, including:

Steel Plants & Rolling Mills: For powering heavy rectifiers and variable speed drives

Electrochemical & Electrolysis Plants: Providing controlled DC supply

Traction Substations: Supporting AC-DC conversion for railway systems

Wind & Solar Power Systems: As part of inverter-based setups

Battery Charging Stations & UPS Systems: Delivering reliable DC voltage

Oil & Gas Sector: For powering drilling equipment and process control systems

Mining Industry: Supporting automated and heavy-duty machines

Conclusion:

Converter duty transformers are integral to modern industrial processes where power quality, safety, and efficiency are non-negotiable. With the ability to handle harmonics, overloads, and frequent operational stress, they ensure that converter-based systems perform optimally and consistently. For any industry relying on AC-DC conversion, investing in a high-quality converter duty transformer is a step toward increased productivity and system longevity.

Company Details

📍 Company Name: Padmavahini Transformers 🌐 Website: Padmavahini Transformers 📞 Contact No: +91 99430 49222 📧 Email: info@padmavahini.in 📍 Address: S. F. No. 353/1, Door No. 7/140, Ruby Matriculation School Road, Keeranatham, Saravanampatti, Coimbatore, Tamil Nadu - 641035, India

🔗 Follow Us on Social Media: 📘 Facebook 📸 Instagram

[govindhtech]

How Scaler Chip Photonics Powers Quantum Future

Scaler Chip

Chip-scale photonics uses photonic integrated circuits to produce, manipulate, and detect quantum states of light. These devices' high density and performance are designed to promote quantum technology by enabling quantum computing and systems outside conventional light noise. For large-scale quantum information processing, integrated photonics is the best candidate since it is compatible with complementary metal-oxide-semiconductor (CMOS) fabrication methods, which are utilised in classical communications and microprocessors.

Chip-scale integration builds tiny, dependable, portable, and deployable quantum systems by merging numerous components on one substrate.

Important aspects of chip-scale photonics include:

Platforms: Silicon photonics is a suitable platform for this integration due to its well-established semiconductor production methods, high nonlinearity, programmable routing, and affordability. Silicon nitride (Si3N4), lithium niobate, aluminium nitride, and high-index doped silica are also being developed for integrated components. Many quantum technologies use quantum light sources.

Sources of entangled photon pairs include spontaneous four-wave mixing (SFWM) in silicon waveguides and SPDC in thin-film lithium niobate. Famous for their efficiency and small size, microring resonators (MRRs) are popular. They also need less pump power. Alternative materials like Si3N4 and Hydex are being researched for high laser power due to their lower propagation loss and greater transparency.

Ideal single photon sources are on-demand, deterministic, and indistinguishable. From parametric sources, “heralded single-photon generation” detects one photon and announces the presence of another. Scholars want high spectral purity for interference-based QIP and to overcome brightness-purity trade-offs.

Squeezed light sources reduce noise below the quantum limit, improving measurement accuracy. Dual-pump SFWM in MRRs and Si3N4 MRRs are examples of integrated photonics' progress in source preparation.

Modulators (Phase Shifters): Phase shifters precisely regulate photons. Silicon phase shifters often use plasma dispersion (PD) or thermo-optic (TO) phenomena. Despite their simplicity, TO modulators are slow and cause thermal crosstalk. While PD modulators are faster, absorption losses may occur. High-speed, low-loss electro-optic modulators are being researched using hybrid integration approaches like silicon with lithium niobate or barium titanate.

Single photon detectors: High efficiency, low dark counts, and time resolution are needed. SNSPDs are desirable because of their great performance, however they need cryogenic operation. Despite their poor performance, on-chip SNSPDs and other room-temperature technologies like silicon avalanche photodiodes and transition-edge sensors are being developed. Effective coupling of PIC waveguides with detectors is important to explore.

“Chip-Scale photonics Enables Advanced Quantum Communication and Sensing Technologies” covered photonic integrated circuits (PICs) that make and detect CV quantum states of light on June 7, 2025.

Chip-scale devices can operate outside light noise, which will improve quantum technology, especially secure communication and precise sensing (e.g., gravitational wave detection). The paper was based on a review paper titled “Integrated photonics for continuous-variable quantum optics,” co-authored by Southampton, NIST, and Bristol experts.

To fulfil the demand for scalable quantum technologies, CV quantum photonic systems are being integrated onto PICs. Some highlights from the

Technology: CV quantum photonics encodes and processes quantum information using light properties like amplitude and phase, making it compatible with present telecommunications infrastructure.

Feasibility and Platforms: Investigations have shown that integrated platforms can create and modify CV states, with silicon photonics being particularly promising.

Recent developments: Integrated photonic-electronic receivers can transmit data at 10 Gbaud, and CV-QKD (Quantum Key Distribution) can be extended to 100km fibre optic lines with local oscillators to avoid discrete optical component issues.

Component Integration:

Sources: Squeezed states improve gravitational wave detection sensitivity by reducing noise below the quantum limit. The mentions spontaneous parametric down-conversion (SPDC) and other PIC electro-optic modulation approaches.

Detectors: Cryogenic but extremely efficient SNSPDs and other room-temperature detector technologies like silicon avalanche photodiodes and transition-edge sensors are covered. Effective coupling between PIC waveguides and detectors remains a research priority.

System Integration: Integrated detectors and photonic circuits on a chip enable portable and deployable systems. This integration makes quantum systems compact and trustworthy.

Challenges and Future Work: The paper emphasises the need to study non-Gaussian quantum states to increase performance and expand quantum information processing. Scalability is crucial, and modular techniques using networked chip designs can help. Future priorities will include developing more deterministic and efficient non-Gaussian states, improving detector integration (especially room-temperature detectors), and researching CV system-specific error correction protocols to improve robustness against noise and decoherence.

Chip-scale photonics breakthroughs are needed to turn complex lab quantum experiments into scalable quantum technologies for safe communication and reliable sensing.

[kikisday2day]

The Sound Between the Sunlight

There are days that blur into each other, especially when you’re deep in a project. Time stretches and collapses all at once. But then there are moments, strange, unexpected ones, that imprint on you. That Sunday was one of them.

Hungover but wired from excitement, I somehow dragged myself out of bed and made it to a friend’s place for brunch. There was this kind of lazy joy in the air, sunlight through big windows, the smell of coffee and toast, everyone a little disoriented but buzzing about the party later. That kind of soft chaos has always inspired me, like something is about to happen and you’re right on the edge of it.

We ended up at Haus des Visionäre, a new venue by CDV, and it felt like stepping into a dream. A beautiful old warehouse bathed in light, visuals slicing through the space like soft blades. Summer teasing its arrival. It was one of those rare days where the setting, the sound, the people — everything aligned. Then Konstantin played, and I was gone.  I didn’t even know I needed that set until I was in the middle of it. The music wasn’t just good, it moved differently. It felt like it had a pulse. Like it was breathing with us.

And then, tucked inside, this ambient zone — carpets all over the floor, shoes off, people just sitting or lying down, listening. No need to dance, to move. Just be. That moment felt important. Like a reminder that music doesn’t always need to be loud or even performed. Sometimes it just needs space to exist. To wash over people.

That experience really shifted how I saw the potential for the BIND3 project. It isn’t just about my solo sets anymore. It’s about creating environments. It could translate into curated sound installations, ambient listening zones, or collaborative audio-visual showcases with artists outside the club circuit — visual artists, architects, even wellness spaces. Music as presence, not just performance.

My creative process often feels nonlinear. It’s tied more to feeling than to structure. But days like this remind me of why I create: to hold a moment. To reflect the world I move through, socially, politically, emotionally, and translate it in a way that allows others to feel something too.

In the end, it’s not about how loud the track hits but how long it stays with you.

[sentinelgundamn]

Supercharged Qubits: How MIT’s Quarton Coupler Accelerates Quantum Computing

Source: SciTechDaily

https://search.app/3s4pB

Shared via the Google App

[sunaleisocial]

MIT engineers advance toward a fault-tolerant quantum computer

New Post has been published on https://sunalei.org/news/mit-engineers-advance-toward-a-fault-tolerant-quantum-computer/

MIT engineers advance toward a fault-tolerant quantum computer

In the future, quantum computers could rapidly simulate new materials or help scientists develop faster machine-learning models, opening the door to many new possibilities.

But these applications will only be possible if quantum computers can perform operations extremely quickly, so scientists can make measurements and perform corrections before compounding error rates reduce their accuracy and reliability.

The efficiency of this measurement process, known as readout, relies on the strength of the coupling between photons, which are particles of light that carry quantum information, and artificial atoms, units of matter that are often used to store information in a quantum computer.

Now, MIT researchers have demonstrated what they believe is the strongest nonlinear light-matter coupling ever achieved in a quantum system. Their experiment is a step toward realizing quantum operations and readout that could be performed in a few nanoseconds.

The researchers used a novel superconducting circuit architecture to show nonlinear light-matter coupling that is about an order of magnitude stronger than prior demonstrations, which could enable a quantum processor to run about 10 times faster.

There is still much work to be done before the architecture could be used in a real quantum computer, but demonstrating the fundamental physics behind the process is a major step in the right direction, says Yufeng “Bright” Ye PhD ’24, lead author of a paper on this research.

“This would really eliminate one of the bottlenecks in quantum computing. Usually, you have to measure the results of your computations in between rounds of error correction. This could accelerate how quickly we can reach the fault-tolerant quantum computing stage and be able to get real-world applications and value out of our quantum computers,” says Ye.

He is joined on the paper by senior author Kevin O’Brien, an associate professor and principal investigator in the Research Laboratory of Electronics at MIT who leads the Quantum Coherent Electronics Group in the Department of Electrical Engineering and Computer Science (EECS), as well as others at MIT, MIT Lincoln Laboratory, and Harvard University. The research appears today in Nature Communications.

A new coupler

This physical demonstration builds on years of theoretical research in the O’Brien group.

After Ye joined the lab as a PhD student in 2019, he began developing a specialized photon detector to enhance quantum information processing.

Through that work, he invented a new type of quantum coupler, which is a device that facilitates interactions between qubits. Qubits are the building blocks of a quantum computer. This so-called quarton coupler had so many potential applications in quantum operations and readout that it quickly became a focus of the lab.

This quarton coupler is a special type of superconducting circuit that has the potential to generate extremely strong nonlinear coupling, which is essential for running most quantum algorithms. As the researchers feed more current into the coupler, it creates an even stronger nonlinear interaction. In this sense, nonlinearity means a system behaves in a way that is greater than the sum of its parts, exhibiting more complex properties.

“Most of the useful interactions in quantum computing come from nonlinear coupling of light and matter. If you can get a more versatile range of different types of coupling, and increase the coupling strength, then you can essentially increase the processing speed of the quantum computer,” Ye explains.

For quantum readout, researchers shine microwave light onto a qubit and then, depending on whether that qubit is in state 0 or 1, there is a frequency shift on its associated readout resonator. They measure this shift to determine the qubit’s state.

Nonlinear light-matter coupling between the qubit and resonator enables this measurement process.

The MIT researchers designed an architecture with a quarton coupler connected to two superconducting qubits on a chip. They turn one qubit into a resonator and use the other qubit as an artificial atom which stores quantum information. This information is transferred in the form of microwave light particles called photons.

“The interaction between these superconducting artificial atoms and the microwave light that routes the signal is basically how an entire superconducting quantum computer is built,” Ye explains.

Enabling faster readout

The quarton coupler creates nonlinear light-matter coupling between the qubit and resonator that’s about an order of magnitude stronger than researchers had achieved before. This could enable a quantum system with lightning-fast readout.

“This work is not the end of the story. This is the fundamental physics demonstration, but there is work going on in the group now to realize really fast readout,” O’Brien says.

That would involve adding additional electronic components, such as filters, to produce a readout circuit that could be incorporated into a larger quantum system.

The researchers also demonstrated extremely strong matter-matter coupling, another type of qubit interaction that is important for quantum operations. This is another area they plan to explore with future work.

Fast operations and readout are especially important for quantum computers because qubits have finite lifespans, a concept known as coherence time.

Stronger nonlinear coupling enables a quantum processor to run faster and with lower error, so the qubits can perform more operations in the same amount of time. This means the qubits can run more rounds of error correction during their lifespans.

“The more runs of error correction you can get in, the lower the error will be in the results,” Ye says.

In the long run, this work could help scientists build a fault-tolerant quantum computer, which is essential for practical, large-scale quantum computation.

This research was supported, in part, by the Army Research Office, the AWS Center for Quantum Computing, and the MIT Center for Quantum Engineering.

[compneuropapers]

Interesting Papers for Week 46, 2024

A Feature-Space Theory of the Production Effect in Recognition. Caplan, J. B., & Guitard, D. (2024). Experimental Psychology, 71(1), 64–82.

Dentate gyrus ensembles gate context-dependent neural states and memory retrieval. Coelho, C. A. O., Mocle, A. J., Jacob, A. D., Ramsaran, A. I., Rashid, A. J., Köhler, S., … Frankland, P. W. (2024). Science Advances, 10(31).

Neural Signatures of Evidence Accumulation Encode Subjective Perceptual Confidence Independent of Performance. Dou, W., Martinez Arango, L. J., Castaneda, O. G., Arellano, L., Mcintyre, E., Yballa, C., & Samaha, J. (2024). Psychological Science, 35(7), 760–779.

Neural representational geometries reflect behavioral differences in monkeys and recurrent neural networks. Fascianelli, V., Battista, A., Stefanini, F., Tsujimoto, S., Genovesio, A., & Fusi, S. (2024). Nature Communications, 15, 6479.

Recurrent inhibition refines mental templates to optimize perceptual decisions. Jia, K., Wang, M., Steinwurzel, C., Ziminski, J. J., Xi, Y., Emir, U., & Kourtzi, Z. (2024). Science Advances, 10(31).

Models of human preference for learning reward functions. Knox, W. B., Hatgis-Kessell, S., Booth, S., Niekum, S., Stone, P., & Allievi, A. G. (2024). Transactions on Machine Learning Research, 1313.

A feature-specific prediction error model explains dopaminergic heterogeneity. Lee, R. S., Sagiv, Y., Engelhard, B., Witten, I. B., & Daw, N. D. (2024). Nature Neuroscience, 27(8), 1574–1586.

A ventral pallidal-thalamocortical circuit mediates the cognitive control of instrumental action. Leung, B. K., Chieng, B., Becchi, S., & Balleine, B. W. (2024). Current Biology, 34(15), 3315-3326.e6.

Subcortical origin of nonlinear sound encoding in auditory cortex. Lohse, M., King, A. J., & Willmore, B. D. B. (2024). Current Biology, 34(15), 3405-3415.e5.

Control and recalibration of path integration in place cells using optic flow. Madhav, M. S., Jayakumar, R. P., Li, B. Y., Lashkari, S. G., Wright, K., Savelli, F., … Cowan, N. J. (2024). Nature Neuroscience, 27(8), 1599–1608.

Determinantal point process attention over grid cell code supports out of distribution generalization. Mondal, S. S., Frankland, S., Webb, T. W., & Cohen, J. D. (2024). eLife, 12, e89911.3.

Modeling confidence in causal judgments. O’Neill, K., Henne, P., Pearson, J., & De Brigard, F. (2024). Journal of Experimental Psychology: General, 153(8), 2142–2159.

Prefrontal neuronal dynamics in the absence of task execution. Pu, S., Dang, W., Qi, X.-L., & Constantinidis, C. (2024). Nature Communications, 15, 6694.

Space is a latent sequence: A theory of the hippocampus. Raju, R. V., Guntupalli, J. S., Zhou, G., Wendelken, C., Lázaro-Gredilla, M., & George, D. (2024). Science Advances, 10(31).

Different learning aberrations relate to delusion-like beliefs with different contents. Rossi-Goldthorpe, R., Silverstein, S. M., Gold, J. M., Schiffman, J., Waltz, J. A., Williams, T. F., … Corlett, P. R. (2024). Brain, 147(8), 2854–2866.

Multitask learning of a biophysically-detailed neuron model. Verhellen, J., Beshkov, K., Amundsen, S., Ness, T. V., & Einevoll, G. T. (2024). PLOS Computational Biology, 20(7), e1011728.

Probabilistic neural transfer function estimation with Bayesian system identification. Wu, N., Valera, I., Sinz, F., Ecker, A., Euler, T., & Qiu, Y. (2024). PLOS Computational Biology, 20(7), e1012354.

Development of neural circuits for social motion perception in schooling fish. Zada, D., Schulze, L., Yu, J.-H., Tarabishi, P., Napoli, J. L., Milan, J., & Lovett-Barron, M. (2024). Current Biology, 34(15), 3380-3391.e5.

A potentiation of REM sleep-active neurons in the lateral habenula may be responsible for the sleep disturbance in depression. Zhang, Z., Zhang, W., Fang, Y., Wang, N., Liu, G., Zou, N., … Zhao, H. (2024). Current Biology, 34(15), 3287-3300.e6.

Axo-axonic synaptic input drives homeostatic plasticity by tuning the axon initial segment structurally and functionally. Zhao, R., Ren, B., Xiao, Y., Tian, J., Zou, Y., Wei, J., … Tai, Y. (2024). Science Advances, 10(31).

[codingprolab]

ECSE 597 Assignment 4 solved

Question I (5marks) Implement the function named nl_BE_method.m for computing the transient response of nonlinear circuits using the Backward Euler method. The stub for this function is provided below. Please feel free to modify the function in accordance with your preferences. function [tpoints, X]= nl_BE_method(tEnd,h, outNode) % This function uses BACKWARD EULER method to compute the transient…

[drmikewatts]

IEEE Transactions on Fuzzy Systems, Volume 32, Issue 11, November 2024

1) Online Active Learning for Evolving Error Feedback Fuzzy Models Within a Multi-Innovation Context

Author(s): Edwin Lughofer, Igor Škrjanc

Pages: 5998 - 6011

2) Flexible Prescribed Performance Output Feedback Control for Nonlinear Systems With Input Saturation

Author(s): Yangang Yao, Yu Kang, Yunbo Zhao, Pengfei Li, Jieqing Tan

Pages: 6012 - 6022

3) Adaptive Fuzzy Predetermined Performance Control of p-Normal Systems With Unknown Control Coefficients via Dynamic-Events

Author(s): Qidong Li, Changchun Hua, Kuo Li, Hao Li

Pages: 6023 - 6034

4) Reinforcement Learning for Fuzzy Structured Adaptive Optimal Control of Discrete-Time Nonlinear Complex Networks

Author(s): Tao Wu, Jinde Cao, Lianglin Xiong, Ju H. Park, Hak-Keung Lam

Pages: 6035 - 6043

5) Enhanced Distributed Outlier-Resilient Fusion Estimation With Novel Dimensionality Reduction Under IT-2 T–S Fuzzy System

Author(s): Yunyi Yang, Guoguang Wen, Yidi Wang, Zhaoxia Peng, Kai Xiong

Pages: 6044 - 6055

6) Dual-Channel Fuzzy Interaction Information Fused Feature Selection With Fuzzy Sparse and Shared Granularities

Author(s): Hengrong Ju, Xiaoxue Fan, Weiping Ding, Jiashuang Huang, Suping Xu, Xibei Yang, Witold Pedrycz

Pages: 6056 - 6068

7) Data-Driven Reinforcement Learning Tracking of MASs Under Injection Attack: A Controller-Dynamic-Linearization Approach

Author(s): Shanshan Sun, Yuan-Xin Li, Zhongsheng Hou

Pages: 6069 - 6078

8) Set-Membership Observer Design for T-S Fuzzy 2-D Systems With Unmeasurable Premise Variables

Author(s): Changyi Xu, Chenyang Zhao, Fengyuan Zhang, Chao Zhang, Zhongyang Fei

Pages: 6079 - 6087

9) Discrete-Time Finite Fuzzy Markov Chains Realized Through Supervised Learning Stochastic Fuzzy Discrete Event Systems

Author(s): Hao Ying, Feng Lin

Pages: 6088 - 6100

10) Stability and Filtering for Delayed Discrete-Time T-S Fuzzy Systems via Membership-Dependent Approaches

Author(s): Wen-Hu Chen, Chuan-Ke Zhang, Zhou-Zhou Liu, Leimin Wang, Yong He

Pages: 6101 - 6111

11) Granular Ball Fuzzy Neighborhood Rough Sets-Based Feature Selection via Multiobjective Mayfly Optimization

Author(s): Lin Sun, Hanbo Liang, Weiping Ding, Jiucheng Xu

Pages: 6112 - 6124

12) Fuzzy Adaptive Distributed Optimization of Uncertain Multiagent Systems With Time-Varying Delays

Author(s): Jiayi Lei, Yuan-Xin Li, Shaocheng Tong

Pages: 6125 - 6135

13) Adaptive Fuzzy Tracking Control for Nonlinear Time-Delay Systems With Performance Constrained by Deferred Monotone Tube Boundaries

Author(s): Guopin Liu, Yu Zhang, Changchun Hua, Yafeng Li, Jiannan Chen

Pages: 6136 - 6148

14) A Polynomial Chaos Expansion Approach to Interval Estimation for Uncertain Fuzzy Systems

Author(s): Zhenhua Wang, Lanshuang Zhang, Choon Ki Ahn, Yi Shen

Pages: 6149 - 6159

15) Adaptive Reinforcement Learning Strategy-Based Sliding Mode Control of Uncertain Euler–Lagrange Systems With Prescribed Performance Guarantees: Autonomous Underwater Vehicles-Based Verification

Author(s): Yang Wu, Yue-Ying Wang, Xiang-Peng Xie, Zheng-Guang Wu, Huai-Cheng Yan

Pages: 6160 - 6171

16) Fuzzy Switching Sliding Mode Control of T-S Fuzzy Systems via an Event-Triggered Strategy

Author(s): Xiaofei Fan, Tao Li

Pages: 6172 - 6184

17) Deep Reconciled and Self-Paced TSK Fuzzy System Ensemble for Imbalanced Data Classification: Architecture, Interpretability, and Theory

Author(s): Yuanpeng Zhang, Guanjin Wang, Ta Zhou, Ge Ren, Saikit Lam, Weiping Ding, Jing Cai

Pages: 6185 - 6198

18) Promoting Objective Knowledge Transfer: A Cascaded Fuzzy System for Solving Dynamic Multiobjective Optimization Problems

Author(s): Han Li, Zidong Wang, Nianyin Zeng, Peishu Wu, Yurong Li

Pages: 6199 - 6213

19) A Double Integral Noise-Tolerant Fuzzy ZNN Model for TVSME Applied to the Synchronization of Chua's Circuit Chaotic System

Author(s): Lin Xiao, Dan Wang, Liu Luo, Jianhua Dai, Xiangru Yan, Jichun Li

Pages: 6214 - 6223

20) Multicenter Knowledge Transfer Calibration With Rapid Zeroth-Order TSK Fuzzy System for Small Sample Epileptic EEG Signals

Author(s): Chuang Wang, Pengjiang Qian, Zhihuang Wang, Weiwei Cai, Jian Yao, Yi-Zhang Jiang, Xiangyu Yan, Wenjun Hu

Pages: 6224 - 6236

21) Distributed Adaptive Fuzzy 3-D Formation Tracking Control of Underactuated Autonomous Underwater Vehicles

Author(s): Peng Wan, Zhigang Zeng

Pages: 6237 - 6251

22) Imitation Learning and Teleoperation Shared Control With Unit Tangent Fuzzy Movement Primitives

Author(s): Hao Wen, Wen Fu, Wu Chen, Jiale Huan, Changsheng Li, Xingguang Duan

Pages: 6252 - 6266

23) Adaptive Relative Fuzzy Rough Learning for Classification

Author(s): Yang Zhang, Changzhong Wang, Yang Huang, Weiping Ding, Yuhua Qian

Pages: 6267 - 6276

24) Supervisory Control of Networked Fuzzy Discrete Event Systems

Author(s): Feng Lin, Hao Ying

Pages: 6277 - 6287

25) Multiview Fully Interpretable TSK Fuzzy Classifier Enhanced by Multiview Accompanying GMMs

Author(s): Erhao Zhou, Fu-Lai Chung, Shitong Wang

Pages: 6288 - 6302

26) Whole-Process Predefined-Time Tracking Control for T–S Fuzzy Euler–Lagrange Systems

Author(s): Jia-Du Zhang, Tao Han, Bo Xiao, Chang-Duo Liang, Huaicheng Yan

Pages: 6303 - 6313

27) Multilayer Evolving Fuzzy Neural Networks With Self-Adaptive Dimensionality Compression for High-Dimensional Data Classification

Author(s): Xiaowei Gu, Qiang Ni, Qiang Shen

Pages: 6314 - 6328

28) Few-Shot Fuzzy Temporal Knowledge Graph Completion via Fuzzy Semantics and Dynamic Attention Network

Author(s): Xuanxuan An, Luyi Bai, Longlong Zhou, Jingni Song

Pages: 6329 - 6339

29) NeuFG: Neural Fuzzy Geometric Representation for 3-D Reconstruction

Author(s): Qingqi Hong, Chuanfeng Yang, Jiahui Chen, Zihan Li, Qingqiang Wu, Qingde Li, Jie Tian

Pages: 6340 - 6349

30) Hierarchical Rule-Base Reduction-Based ANFIS With Online Optimization Through DDPG

Author(s): Marius F. R. Juston, Samuel R. Dekhterman, William R. Norris, Dustin Nottage, Ahmet Soylemezoglu

Pages: 6350 - 6362

31) Dynamic Event-Triggered Asynchronous Fault Detection via Zonotopic Threshold Analysis for Fuzzy Hidden Markov Jump Systems Subject to Generally Hybrid Probabilities

Author(s): Mengmeng Liu, Jinyong Yu, Ke Zhao

Pages: 6363 - 6377

32) Fuzzy Event Knowledge Graph Embedding Through Event Temporal and Causal Transfer

Author(s): Chao Wang, Li Yan, Zongmin Ma

Pages: 6378 - 6387

33) Optimal Control for Fuzzy Markov Jump Singularly Perturbed Systems: A Hybrid Zero-Sum Game Iteration Approach

Author(s): Jing Wang, Yaling Huang, Xiangpeng Xie, Huaicheng Yan, Hao Shen

Pages: 6388 - 6398

34) Fuzzy Adaptive Exact-Optimal Consensus Output-Feedback Control for Uncertain Nonlinear High-Order Multiagent Systems

Author(s): Mengyuan Cui, Shaocheng Tong

Pages: 6399 - 6408

35) Multimodal Learning-Based Interval Type-2 Fuzzy Neural Network

Author(s): Chenxuan Sun, Xiaolong Wu, Hongyan Yang, Honggui Han, Dezheng Zhao

Pages: 6409 - 6423

36) Long-Term Multivariate Time-Series Forecasting Model Based on Gaussian Fuzzy Information Granules

Author(s): Chenglong Zhu, Xueling Ma, Pierpaolo D'Urso, Yuhua Qian, Weiping Ding, Jianming Zhan

Pages: 6424 - 6438

37) Stabilization of Interval Type-2 T–S Fuzzy Systems via Time-Dependent Memory Sampled-Data Control and Its Applications

Author(s): Subramanian Kuppusamy, Samson S. Yu, Hieu M. Trinh, Peng Shi

Pages: 6439 - 6448

38) Distributed Nash Equilibrium Seeking for Games With Unknown Nonlinear Players via Fuzzy Adaptive Method

Author(s): Ying Chen, Qian Ma

Pages: 6449 - 6459

39) Fault-Tolerant Event-Triggered Sampled-Data Fuzzy Control for Nonlinear Delayed Parabolic PDE Systems

Author(s): Bo-Ming Chen, Zi-Peng Wang, Feng-Liang Zhao, Junfei Qiao, Huai-Ning Wu, Tingwen Huang

Pages: 6460 - 6471

40) Stability and Fuzzy Optimal Control for Nonlinear Itô Stochastic Markov Jump Systems via Hybrid Reinforcement Learning

Author(s): Zhen Pang, Hai Wang, Jun Cheng, Shengda Tang, Ju H. Park

Pages: 6472 - 6485

41) Graph Model for Conflict Resolution for Mixed-Stability Combinatorial Foresight Based on the Combination of Regret Theory and VIKOR Method

Author(s): Peide Liu, Xue Wang, Yingxin Fu, Peng Wang

Pages: 6486 - 6499

42) Fuzzy Observer-Based Finite-Time Adaptive Formation Control for Multiple QUAVs With Malicious Attacks

Author(s): Chao Li, Jiapeng Liu, Xinkai Chen, Jinpeng Yu

Pages: 6500 - 6511

43) A Novel HPPD-Type Fuzzy Switching Control Scheme of Active Vehicle Suspension Systems

Author(s): Yunshuai Ren, Xiangpeng Xie, Jiayue Sun, Xiaoming Wu

Pages: 6512 - 6522

44) Fuzzy Optimal Tracking Control for Autonomous Surface Vehicles With Prescribed-Time Convergence Analysis

Author(s): Yan Zhang, Xin Yan, Wencheng Zou, Zhengrong Xiang

Pages: 6523 - 6533

45) Event-Triggered-Based Adaptive Fuzzy Finite-Time Resilient Output Feedback Control for MIMO Stochastic Nonlinear System Subject to Deception Attacks

Author(s): Jipeng Zhao, Guang-Hong Yang

Pages: 6534 - 6547

46) Prescribed Performance Fault-Tolerant Optimal Control for Wastewater Treatment Process With Multivariable

Author(s): Dingyuan Chen, Cuili Yang, Dapeng Li, Junfei Qiao

Pages: 6548 - 6559

47) Switched Command-Filtered-Based Adaptive Fuzzy Output-Feedback Funnel Control for Switched Nonlinear MIMO-Delayed Systems

Author(s): Zhenhua Li, Hongtian Chen, Hak-Keung Lam, Wentao Wu, Weidong Zhang

Pages: 6560 - 6572

48) Fault Detection of Unmanned Surface Vehicles: The Fuzzy Multiprocessor Implementation

Author(s): Xiang Zhang, Shuping He, Zhihuan Hu, Ruonan Liu, Hongtian Chen, Weidong Zhang

Pages: 6573 - 6582

49) On Arithmetic Operations of LR Fuzzy Numbers With Different Shape Functions

Author(s): Gholamreza Hesamian, Arne Johannssen

Pages: 6583 - 6587

50) State and Fault Interval Estimation for Discrete-Time Takagi–Sugeno Fuzzy Systems via Intermediate Observer Base on Zonotopic Analysis

Author(s): Lulin Zhang, Zhuoxue Li, Yi Li, Jiuxiang Dong

Pages: 6588 - 6593

[govindhtech]

RoQNET: 11-Mile Fiber-Optic Quantum Leap For Network

Rochester Quantum Network

Researchers at the University of Rochester and RIT have constructed an experimental quantum communications network spanning both campuses, advancing secure, scalable quantum data transfer. The Rochester Quantum Network (RoQNET) sends data over 11 miles of fiber-optic cable using photons' unique properties.

The ambient-temperature network employs optical wavelengths. The esteemed journal Optica Quantum detailed this remarkable development.

Although it is difficult to clone or intercept communications without detection, quantum communication networks may improve data security. Quantum communication employs qubits, unlike conventional communication methods, which are prone to breaches.

Qubits can be made from atoms, superconductors, or diamond defects. Photons, individual light particles, are the best qubit for long-distance communication. Photons are attractive because they can pass across worldwide fiber-optic infrastructure. Photons may communicate with many qubits due to their wide wavelength range and light speed.

Even though future quantum networks may use qubits like quantum dots or trapped ions for processing or sensing, photons are still the most compatible with present communications lines. The current study is on enabling communication across various qubit types in a single network.

Photon transmission technology advances

Researchers at both campuses used photonics, quantum information theory, and optics to produce cutting-edge technologies using photonic-integrated circuits. These circuits improve quantum communications network efficiency.

The arrangement centres on a photonic chip, fibre array unit, and extremely nonlinear crystal. This configuration creates a tiny, customisable platform that can link visible quantum nodes across the present telecommunications network, according to studies. Crystals create entangled visible-telecom photon pairs.

Large, costly superconducting nanowire single-photon detectors (SNSPDs) are employed for quantum communication over fiber-optic lines nowadays. The researchers want to overcome this limitation and lessen their dependence on these bulky technologies by developing more portable and scalable options. One goal is to put these complex quantum experiments that formerly needed bulk optics and huge telescopes onto a microprocessor.

Consider Quantum Entanglement

The research effort aims to produce network-wide quantum entanglement technologies. “Our focus is on distributed quantum entanglement, and RoQNET is a test bed,” said RIT Kate Gleason College of Engineering professor Stefan Preble. Quantum particles are perfectly correlated once entangled, regardless of distance.

Nickolas Vamivakas, the Marie C. Wilson and Joseph C. Wilson Professor of Optical Physics at the University of Rochester, hailed the program a huge step towards developing quantum networks for distant computing, imaging, and secure communications.

Other teams have constructed experimental quantum networks throughout the world, but RoQNET uses solid-state-based quantum memory nodes and integrated quantum photonic devices to produce quantum light. This unique approach advances quantum communication technology.

Future Goals

The team's ambitious objective is to expand RoQNET to more cutting-edge New York State research institutes. Plans include linking New York University, Air Force Research Laboratory, Stony Brook University, and Brookhaven National Lab. The development of a comprehensive network through this expansion should boost quantum communication in the area. RoQNET will foster collaboration between top institutions and advance quantum technologies.

The Air Force investigation Laboratory generously funded this groundbreaking investigation, demonstrating its strategic importance.

Consequences of Safe Communication

Beyond scholarly curiosity, the discovery may influence secure communications management methods and enable quantum computing and networking tactics. Due to its unprecedented security, quantum technology requires a review of conventional communication systems. The rise of data integrity and privacy issues will require innovations like RoQNET to set new standards for secure communication protocols.

The flexibility of developing technology is important too. New qubit sources and quantum physics advancements will be compatible with the University of Rochester and RIT infrastructure. RoQNET is more than a milestone; it's the foundation for future quantum networks.

This work combines theoretical and practical results in quantum communications, demonstrating innovation. The research team is solving intrinsic difficulties to advance secure communication. Their contributions may provide the groundwork for quantum physics understanding and application.

RoQNET's quantum physics and technology integration is an obsessive search for information that might change secure communications. These two respected organisations' cooperation in unknown information security terrain shows what may be achieved with cooperation and a single purpose.

Recent advances in quantum technology suggest a future with quicker and more secure communication. Scientists are discovering a wide range of possibilities for quantum communication, from defensive systems to corporate applications, making humanity better suited to manage the digital world.

A photonic chip connects a fibre array unit and a highly nonlinear crystal. The crystal's entangled visible-telecom photon pairs, processed on silicon nitride and silicon photonic integrated circuits, provide a tiny and flexible platform to connect visually accessible quantum nodes across present telecommunications infrastructure.