#mathworks

[leibnizstan]

MATLAB ahead? I sure hope it does...

[ejeffers1239]

I absolutely refuse to continue any application that wants me to record myself or do a coding problem before I interact with a human.

[yokowan]

every time matlab crashes i consider bombing mathworks hq. the bomb will be designed using scipy, of course.

[zeeposting]

aart dddump ttime

lightblub on my mathwork

jyeah that's all, @ryuatewater look there's a lot of globe for you

[cyber-sec]

MathWorks, Creator of MATLAB, Confirms Ransomware Attack

Source: https://www.darkreading.com/vulnerabilities-threats/mathworks-confirms-ransomware-attack

More info: https://status.mathworks.com/incidents/h1fjvcr72n87

[felixcloud6288]

Okay. I really want to talk about that second math problem Homura did. It's the only one where I was able to understand what the actual problem she's trying to solve was (Her mathwork in q1 and q3 were correct for what I saw, but I couldn't figure out what she was ultimately trying to do.)

The problem: We're given three integers x, a, and b where a/14 has a remainder of 6, b/14 has a remainder of 1, and x^2 - 2ax + b = 0. Find the remainder of x/14.

Step 1: We define x, a, and b in relation to 14. We'll use q, s, and t to represent the quotients of x, a, and b respectively and r to represent the unknown remainder of x/14.

x = 14q + r a = 14s + 6 b = 14t + 1

Step 2: We rewrite x^2 - 2ax + b = 0 using the above equalities.

(14q + r)^2 - 2(14s + 6)(14q+r) + (14t + 1) = 0

Step 3: rewrite each term using FOIL (Normally I'd say simplify but there's nothing simple about what this is going to look like. Also, I'm going to keep 14 as unedited as possible for reasons you'll see later).

(14q)^2 + 2*14qr + r^2 - 2*14^2qs - 2*14rs - 12*14q - 12r +14t + 1 = 0

Step 4: Our end goal is to figure out what happened when x is divided by 14. So we're going to collect all terms divisible by 14 together and factor out 14.

14(14q^2 + 2qr - 28qs - 2rs - 12q + t) + r^2 - 12r + 1 = 0

Step 5: This was something Homura did but didn't explicitly show. Consider this: -14r = -12r - 2r. So we could add 2r - 2r into the left side of the equation without impacting it. This let's us throw -14r into the pile of terms being multiplied by 14 and leave us with a 2r we can use FOIL on with the remaining terms

14(14q^2 + 2qr - 28qs - 2rs - 12q + t) + r^2 - 12r + 1 + 2r - 2r= 0 14(14q^2 + 2qr - 28qs - 2rs - 12q + t) + r^2 - 14r + 1 + 2r = 0 14(14q^2 + 2qr - 28qs - 2rs - 12q + t - r) + (r+1)^2 = 0

Step 6: This is the part where Homura went from equations to logic. To simplify things, let's let y = 14q^2 + 2qr - 28qs - 2rs - 12q + t - r. This means:

14y + (r+1)^2 = 0 (r+1)^2 = -14y

Now I have to go over a little bit of number theory. Prime factorization is the process of breaking a positive integer down into a series of prime numbers. With the above equation, we can say (r+1)^2 is divisible by 14 since it is equal to 14 times some unknown integer -y. This also means (r+1)^2 can be divided by 2 and 7 since 2*7=14.

Now consider: Let's say we have two integers m and n. There is a unique set of prime numbers that can be multiplied to get m and a unique set that can be multiplied to get n. If we multiply m by n, the prime factors of mn is going to be the prime factors of m and n. For example, 12 = 2*2*3 and 15 = 3*5 so 12*15 = 2*2*3*3*5 or 2^2 * 3^2 * 5.

Now let's say we multiplied m by m. In that case, we're combining the same prime factors together. So m^2 would double the exponent values of each prime factor. As a corollary, if m's square root is an integer, then m's prime factors must all be exponentiated by an even number.

Now let's tie this back to the problem.

Currently, we know (r+1)^2 = -14y for some unknown integer y. Our end goal is to figure out r, the remainder when x is divided by 14. First, we need to try getting rid of the square on the left side. Going back to what I mentioned earlier though, since r+1 is an integer, that means it has a certain prime factorization. We can say that prime factorization includes at least a 2 and 7 because of the 14 on the right. And since r+1 is being squared, that means (r+1)^2 has the same prime factors as r+1 but the exponential values are double. In other words, y has to also be divisible by 14 in order for this equation to be true.

Now also recall that r is the remainder of x/14. This would mean r at most is 13. So r+1 is at most 14. If we take all this information into account, this means (r+1)^2 can at most be 14^2 and in fact would have to be 14^2 because it is the only number that would work with all the previous information (Meaning that y = -14). Therefore:

(r+1)^2 = 14^2 r+1 = 14 r = 13

back

[nathanielbuildsatesseract]

Hmm. Looks like my "leave of absence" from grad school wasn't enough to keep them from shutting down my school email. I wasn't using that for much so it didn't bother me at the time, but my MathWorks account was through there so now I can't use MATLAB anymore. Since I'm not broke anymore maybe I'll just buy a license of my own rather than tangle with the school right now. The only real question then would be which license to get, since there's five different options and I'm not sure which fits best. Even though I need this to finish my thesis, I'm leaning towards "home" simply because I don't see myself starting a business just yet and will definitely still want to mess with models on my own after finishing up.

[w1tchcr4ftt]

Im going insane im losing my damn mind ive had 4 hours of mathwork per day every single day this week on top of field day physical burnout and college course work (IM NOT IN COLLEGE OR EVEN CLOSE) on top of my parents telling me to just take easier courses cus thats better for me im going to scream I need a break where everything is just fine I hate this goddamn week so much im so tired i can barely move my whole body is in pain i hate this so much and i have art block so i cant even draw to fix this this sucks

In short, im not going away im just gonna be a tad bit less active so i can heal from artblock and rest and whatnot. Im super tired and stressed rn but i have spring break coming up so yea! Sorry for the vent i just needed to rant ig

Normal stuff can resume now ig :}

[hitamseo]

Why HITAM is Leading the Way in Electronics and Communication Engineering in Hyderabad

In an era where technology drives innovation, the field of Electronics and Communication Engineering (ECE) has emerged as one of the most dynamic and impactful disciplines. From mobile communication and robotics to satellite systems and the Internet of Things (IoT), the field of ECE (Electrical and Computer Engineering) touches virtually every aspect of modern life. For aspiring engineers, choosing the right college is crucial, and for students in South India, Hyderabad stands out as a thriving hub of education, technology, and opportunity.

One institute that consistently stands out in this domain is the Hyderabad Institute of Technology and Management (HITAM). Known for its academic excellence, industry-driven curriculum, and student-centric approach, HITAM is setting new benchmarks for Electronics and Communication Engineering in Hyderabad.

Why Choose Electronics and Communication Engineering?

Electronics and Communication Engineering is a field that combines electronic engineering with computer, information, and communication technology. It is at the heart of the digital revolution, contributing to the development of smartphones, autonomous vehicles, medical imaging systems, and advanced military technologies. Studying ECE provides:

Diverse Career Opportunities: From IT and telecommunications to embedded systems, aerospace, and defense.

Strong Industry Relevance: ECE is closely aligned with cutting-edge developments, including AI, 5G, machine learning, and IoT.

Lucrative Pay Scales: Skilled ECE graduates often command high salaries in India and abroad.

Scope for Research: Fields such as VLSI design, signal processing, and robotics offer rich avenues for both academic and industrial research.

Given these factors, the demand for high-quality ECE education continues to grow, especially in tech-rich regions like Hyderabad.

A Thriving Technology Ecosystem

Home to tech giants, R&D centers, and a robust startup culture, Hyderabad has become a favored destination for engineering students. The city offers the perfect blend of academic infrastructure, industrial exposure, and employment opportunities, especially in the electronics, software, and communication sectors.

It’s no surprise that the city is often referred to as “Cyberabad.” Institutions here benefit from proximity to multinational corporations (MNCs) and technology parks, ensuring that students are exposed to real-world challenges and practical applications.

HITAM: A Premier Destination for Electronics and Communication Engineering in Hyderabad

HITAM has built a strong reputation over the years for delivering quality education and producing industry-ready engineers. The Electronics and Communication Engineering Department at HITAM is designed to cultivate creativity, problem-solving skills, and practical proficiency.

Here’s what makes HITAM’s ECE program a top choice in Hyderabad:

1) NBA Accredited Program: HITAM’s ECE program is accredited by the National Board of Accreditation (NBA), which is a mark of high academic standards and quality assurance. It reflects the institute’s commitment to continuous improvement and relevance in technical education.

2) Industry-Integrated Curriculum: The curriculum at HITAM is not just about theory; it is crafted in collaboration with industry experts to ensure that students are prepared for real-world challenges. Courses are regularly updated to include the latest in IoT, embedded systems, robotics, wireless communication, and VLSI design.

The college also offers certification programs and workshops in collaboration with companies like Texas Instruments, ARM, and MathWorks.

3) Experienced Faculty and Mentorship: HITAM’s ECE faculty comprises a mix of experienced educators and industry professionals who guide students through both foundational concepts and advanced applications. The emphasis on mentorship and personalized learning enables students to develop a strong conceptual base and apply it effectively in projects and research.

4) Modern Laboratories and Infrastructure: Hands-on learning is at the heart of HITAM’s teaching philosophy. The ECE department houses state-of-the-art labs in:

- Embedded Systems and IoT

- Digital and Analog Communications

- Signal Processing

- VLSI and FPGA Design

- Robotics and Automation

Students have access to simulation tools like MATLAB, Xilinx, Multisim, and Cadence.

5) Focus on Innovation and Research: HITAM encourages students to go beyond textbooks through research and innovation. Students regularly participate in national-level technical competitions and submit papers to reputed journals and conferences. Final-year projects often focus on solving real-world industry problems, guided by faculty and industry mentors.

6) Strong Industry Collaborations and Internships: Being located in Hyderabad, HITAM enjoys close links with the tech industry. Students are encouraged to undertake internships, industry visits, and live projects with companies such as TCS, Infosys, Qualcomm, DRDO, and BSNL.

These experiences provide a competitive edge in placement and real-world exposure.

7) Excellent Placement Record: HITAM boasts a strong placement cell that actively supports students with training, resume building, interview prep, and campus recruitment. ECE graduates have been placed in top MNCs and core companies with attractive salary packages.

Key recruiters include:

- Infosys

- Wipro

- Cognizant

- Tech Mahindra

- Capgemini

- HCL

- AMD

- DRDO (internships/projects)

8) Holistic Development: At HITAM, education isn’t confined to academics. Students are encouraged to participate in technical fests, sports, community development programs, and entrepreneurship initiatives. This ensures well-rounded development, preparing them not only as engineers but also as leaders.

Alumni Success Stories

HITAM’s ECE alumni have carved out successful careers in diverse roles, including system designers, software developers, research associates, product managers, and more. Many have pursued higher education in premier institutions both in India and abroad, while others have launched their startups.

Conclusion

If you're aspiring to build a successful career in Electronics and Communication Engineering, Hyderabad offers the ideal ecosystem, and HITAM stands as a beacon of quality education in this dynamic field. With a forward-thinking curriculum, strong industry linkages, and a focus on experiential learning, HITAM prepares students to become not only job seekers but also problem solvers, innovators, and change-makers.

Visit https://hitam.org/electronics-and-communication-engineering/ to learn more and take the first step toward a future driven by technology and innovation.

[nextmsc]

𝗛𝗜𝗚𝗛-𝗥𝗜𝗦𝗞. 𝗛𝗜𝗚𝗛-𝗥𝗘𝗪𝗔𝗥𝗗. 𝗧𝗛𝗘 𝗔𝗜 𝗙𝗥𝗢𝗡𝗧𝗜𝗘𝗥 𝗬𝗢𝗨 𝗖𝗔𝗡'𝗧 𝗜𝗚𝗡𝗢𝗥𝗘.

𝗗𝗼 𝘆𝗼𝘂 𝗸𝗻𝗼𝘄 which AI technology could create the next multi-billion dollar unicorns?

𝗦𝗲𝗹𝗳-𝗦𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗲𝗱 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (𝗦𝗦𝗟) 𝗠𝗮𝗿𝗸𝗲𝘁 — The Sleeper Giant of Artificial Intelligence

While the world obsesses over generative AI, self-supervised learning is quietly building the foundations for the next AI explosion. This is where the boldest investors are now placing their bets.

𝗗𝗼𝘄𝗻𝗹𝗼𝗮𝗱 𝗙𝗥𝗘𝗘 𝗦𝗮𝗺𝗽𝗹𝗲

Why 𝗦𝗲𝗹𝗳-𝗦𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗲𝗱 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (𝗦𝗦𝗟) is attracting high-stakes capital:

𝗗𝗮𝘁𝗮 𝗔𝗯𝘂𝗻𝗱𝗮𝗻𝗰𝗲 = 𝗖𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗠𝗼𝗮𝘁: SSL thrives on raw, unlabelled data — making AI cheaper, faster, and more scalable.

𝗗𝗶𝘀𝗿𝘂𝗽𝘁𝗶𝘃𝗲 𝗔𝗰𝗿𝗼𝘀𝘀 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀: From autonomous driving to drug discovery, from cybersecurity to financial modeling — SSL is set to obliterate current AI limitations.

𝗕𝗶𝗴 𝗧𝗲𝗰𝗵'𝘀 𝗤𝘂𝗶𝗲𝘁 𝗥𝗮𝗰𝗲: Meta, Google, Tesla are building massive SSL capabilities — smaller players with the right tech could be tomorrow's takeover targets.

𝗠𝗮𝘀𝘀𝗶𝘃𝗲 𝗗𝗮𝘁𝗮 𝗔𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲: Uses unlabelled data — eliminating costly data labeling bottlenecks.

𝗘𝘅𝗽𝗹𝗼𝘀𝗶𝘃𝗲 𝗚𝗿𝗼𝘄𝘁𝗵 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝗶𝗼𝗻𝘀: SSL market is poised for exponential CAGR driven by applications across healthcare, autonomous vehicles, cybersecurity, NLP, and more.

𝗕𝗶𝗴 𝗧𝗲𝗰𝗵 𝗔𝗱𝗼𝗽𝘁𝗶𝗼𝗻: 𝗞𝗲𝘆 𝗣𝗹𝗮𝘆𝗲𝗿𝘀 like IBM Corporation, Alphabet Inc, Microsoft Corporation, Amazon Web Series, SAS Institute Inc, The MathWorks Inc, Meta and others are pouring millions into SSL R&D.

𝗔𝗰𝗰𝗲𝘀𝘀 𝗙𝘂𝗹𝗹 𝗥𝗲𝗽𝗼𝗿𝘁

𝗧𝗵𝗶𝘀 𝗶𝘀𝗻'𝘁 𝗷𝘂𝘀𝘁 𝗶𝗻𝘃𝗲𝘀𝘁𝗶𝗻𝗴. 𝗧𝗵𝗶𝘀 𝗶𝘀 𝘀𝘁𝗮𝗸𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗰𝗹𝗮𝗶𝗺 𝗼𝗻 𝘁𝗵𝗲 𝗰𝗼𝗿𝗲 𝗲𝗻𝗴𝗶𝗻𝗲 𝗼𝗳 𝘁𝗼𝗺𝗼𝗿𝗿𝗼𝘄’𝘀 𝗔𝗜 𝗲𝗰𝗼𝗻𝗼𝗺𝘆. 𝗙𝗶𝗿𝘀𝘁 𝗺𝗼𝘃𝗲𝗿𝘀 𝘄𝗶𝗹𝗹 𝘄𝗿𝗶𝘁𝗲 𝘁𝗵𝗲 𝗿𝘂𝗹𝗲𝗯𝗼𝗼𝗸. 𝗟𝗮𝘁𝗲𝗰𝗼𝗺𝗲𝗿𝘀 𝘄𝗶𝗹𝗹 𝗽𝗮𝘆 𝗮 𝗽𝗿𝗲𝗺𝗶𝘂𝗺.

[yokowan]

MathWorks is announcing the "gameification" of Matlab! Collect functions in a roguelike deck builder, compete with friends to write the fastest code, and complete daily quests to unlock bonus features!

[servotechinc78]

Model-Based Design with Simulink: Revolutionizing Engineering Development

In today’s fast-paced and increasingly complex engineering landscape, traditional development methods are being replaced by more efficient and integrated solutions. One such groundbreaking approach is Model-Based Design (MBD), particularly through Simulink, a powerful simulation and model-based environment from MathWorks. MBD with Simulink streamlines the design, testing, and implementation of dynamic systems, providing engineers with a comprehensive framework that enhances innovation, collaboration, and product quality.

What is Model-Based Design?

Model-Based Design is a systematic approach to engineering that uses models as an integral part of the development process. Instead of writing code or building prototypes early on, engineers create system-level models to simulate, analyze, and validate behavior. These models serve as executable specifications and help bridge the gap between theoretical design and practical implementation.

The core advantages of MBD include:

Accelerated development cycles

Improved accuracy and reliability

Seamless verification and validation

Enhanced communication between multidisciplinary teams

Why Simulink?

Simulink, a product of MathWorks, is a visual programming environment that enables engineers to model, simulate, and analyze multidomain dynamic systems. It’s integrated tightly with MATLAB and provides libraries of predefined blocks for continuous and discrete systems, signal processing, controls, communication, and more.

With Simulink, users can design complex systems using block diagrams instead of traditional code. This makes it easier to visualize system behavior and quickly iterate designs through simulation.

Key Features of Simulink in Model-Based Design

1. Graphical Modeling

Simulink allows you to build models using intuitive block diagrams, enabling engineers to visually assemble system components and logic. This approach improves collaboration, especially in multidisciplinary teams, by offering a clear view of system behavior.

2. Simulation and Analysis

One of Simulink’s most powerful features is its ability to simulate system dynamics. Engineers can test various conditions, input signals, and fault scenarios without building physical prototypes, reducing development time and costs.

3. Automatic Code Generation

With Simulink Coder, Embedded Coder, and HDL Coder, engineers can automatically generate production-quality C, C++, and HDL code directly from their models. This ensures that the final implementation is aligned with the tested model, reducing integration errors.

4. Verification and Validation

Simulink includes tools for formal verification, testing, and validation such as Simulink Test, Simulink Coverage, and Simulink Design Verifier. These tools help ensure the system meets specifications and regulatory requirements throughout development.

5. Integration with Hardware

Simulink models can be deployed to hardware for real-time simulation and testing. It supports hardware-in-the-loop (HIL) and processor-in-the-loop (PIL) testing, allowing for seamless transition from design to deployment.

Applications of Model-Based Design with Simulink

Model-Based Design using Simulink is widely applied across industries:

Automotive

In the automotive sector, MBD is used for developing control systems such as powertrain, braking, steering, and advanced driver-assistance systems (ADAS). Simulink allows engineers to simulate vehicle dynamics, test control algorithms, and generate production-ready embedded code.

Aerospace and Defense

Simulink supports the design of flight control systems, navigation, and communication systems. It ensures safety and reliability through rigorous simulation, code verification, and compliance with industry standards like DO-178C.

Industrial Automation

Engineers in industrial automation use Simulink to develop and validate control strategies for manufacturing processes, robotics, and instrumentation. It integrates with PLCs and other industrial hardware to streamline deployment.

Medical Devices

In medical technology, Simulink enables the design and testing of life-critical systems such as infusion pumps, ventilators, and diagnostic devices. The visual modeling approach supports compliance with regulatory standards like ISO 13485 and IEC 62304.

Benefits of Using Simulink for Model-Based Design

1. Reduced Development Time

Simulink enables rapid prototyping and iterative testing through simulation, allowing teams to identify and resolve issues early in the development cycle.

2. Improved Design Quality

Modeling and simulating complex systems ensure that designs are thoroughly analyzed and optimized before deployment, leading to higher performance and reliability.

3. Cost Efficiency

By minimizing physical prototyping and reducing time-to-market, MBD with Simulink helps companies save on development costs and resource allocation.

4. Cross-Functional Collaboration

The visual nature of Simulink models makes it easier for engineers from different domains (mechanical, electrical, software) to collaborate and contribute to a unified system design.

5. Traceability and Documentation

Simulink supports documentation and traceability throughout the development process, which is essential for safety-critical industries and compliance with standards.

Challenges and Considerations

While Simulink and MBD offer numerous advantages, successful implementation requires:

Proper training and expertise in Simulink and MBD principles

Well-defined modeling guidelines and version control

Integration with existing workflows and tools

Clear communication across engineering teams

Organizations must also ensure that they have the necessary infrastructure and toolchain to fully benefit from model-based practices.

Conclusion

Model-Based Design servotechinc with Simulink is transforming the way engineering teams develop complex systems. By emphasizing modeling, simulation, and automated code generation, Simulink enables faster development, higher quality, and a smoother path from concept to deployment.

Whether you're working in automotive, aerospace, medical devices, or industrial automation, leveraging Simulink for MBD offers a robust, scalable, and future-ready approach to engineering innovation. As industries continue to demand smarter and safer systems, Model-Based Design with Simulink stands out as a vital tool in the modern engineer’s toolkit.

[sunaleisocial]

Is gravity quantum?

New Post has been published on https://sunalei.org/news/is-gravity-quantum/

Is gravity quantum?

One of the most profound open questions in modern physics is: “Is gravity quantum?” 

The other fundamental forces — electromagnetic, weak, and strong — have all been successfully described, but no complete and consistent quantum theory of gravity yet exists.  

“Theoretical physicists have proposed many possible scenarios, from gravity being inherently classical to fully quantum, but the debate remains unresolved because we’ve never had a clear way to test gravity’s quantum nature in the lab,” says Dongchel Shin, a PhD candidate in the MIT Department of Mechanical Engineering (MechE). “The key to answering this lies in preparing mechanical systems that are massive enough to feel gravity, yet quiet enough — quantum enough — to reveal how gravity interacts with them.”

Shin, who is also a MathWorks Fellow, researches quantum and precision metrology platforms that probe fundamental physics and are designed to pave the way for future industrial technology. He is the lead author of a new paper that demonstrates laser cooling of a centimeter-long torsional oscillator. The open-access paper, “Active laser cooling of a centimeter-scale torsional oscillator,” was recently published in the journal Optica. 

Lasers have been routinely employed to cool down atomic gases since the 1980s, and have been used in the linear motion of nanoscale mechanical oscillators since around 2010. The new paper presents the first time this technique has been extended to torsional oscillators, which are key to a worldwide effort to study gravity using these systems.

“Torsion pendulums have been classical tools for gravity research since [Henry] Cavendish’s famous experiment in 1798. They’ve been used to measure Newton’s gravitational constant, G, test the inverse-square law, and search for new gravitational phenomena,” explains Shin.

By using lasers to remove nearly all thermal motion from atoms, in recent decades scientists have created ultracold atomic gases at micro- and nanokelvin temperatures. These systems now power the world’s most precise clocks — optical lattice clocks — with timekeeping precision so high that they would gain or lose less than a second over the age of the universe.

“Historically, these two technologies developed separately — one in gravitational physics, the other in atomic and optical physics,” says Shin. “In our work, we bring them together. By applying laser cooling techniques originally developed for atoms to a centimeter-scale torsional oscillator, we try to bridge the classical and quantum worlds. This hybrid platform enables a new class of experiments — ones that could finally let us test whether gravity needs to be described by quantum theory.”

The new paper demonstrates laser cooling of a centimeter-scale torsional oscillator from room temperature to a temperature of 10 millikelvins (1/1,000th of a kelvin) using a mirrored optical lever.

“An optical lever is a simple but powerful measurement technique: You shine a laser onto a mirror, and even a tiny tilt of the mirror causes the reflected beam to shift noticeably on a detector. This magnifies small angular motions into easily measurable signals,” explains Shin, noting that while the premise is simple, the team faced challenges in practice. “The laser beam itself can jitter slightly due to air currents, vibrations, or imperfections in the optics. These jitters can falsely appear as motion of the mirror, limiting our ability to measure true physical signals.”

To overcome this, the team used the mirrored optical lever approach, which employs a second, mirrored version of the laser beam to cancel out the unwanted jitter.

“One beam interacts with the torsional oscillator, while the other reflects off a corner-cube mirror, reversing any jitter without picking up the oscillator’s motion,” Shin says. “When the two beams are combined at the detector, the real signal from the oscillator is preserved, and the false motion from [the] laser jitter is canceled.”

This approach reduced noise by a factor of a thousand, which allowed the researchers to detect motion with extreme precision, nearly 10 times better than the oscillator’s own quantum zero-point fluctuations. “That level of sensitivity made it possible for us to cool the system down to just 10 milli-kelvins using laser light,” Shin says.

Shin says this work is just the beginning. “While we’ve achieved quantum-limited precision below the zero-point motion of the oscillator, reaching the actual quantum ground state remains our next goal,” he says. “To do that, we’ll need to further strengthen the optical interaction — using an optical cavity that amplifies angular signals, or optical trapping strategies. These improvements could open the door to experiments where two such oscillators interact only through gravity, allowing us to directly test whether gravity is quantum or not.”

The paper’s other authors from the Department of Mechanical Engineering include Vivishek Sudhir, assistant professor of mechanical engineering and the Class of 1957 Career Development Professor, and PhD candidate Dylan Fife. Additional authors are Tina Heyward and Rajesh Menon of the Department of Electrical and Computer Engineering at the University of Utah. Shin and Fife are both members of Sudhir’s lab, the Quantum and Precision Measurements Group.

Shin says one thing he’s come to appreciate through this work is the breadth of the challenge the team is tackling. “Studying quantum aspects of gravity experimentally doesn’t just require deep understanding of physics — relativity, quantum mechanics — but also demands hands-on expertise in system design, nanofabrication, optics, control, and electronics,” he says.

“Having a background in mechanical engineering, which spans both the theoretical and practical aspects of physical systems, gave me the right perspective to navigate and contribute meaningfully across these diverse domains,” says Shin. “It’s been incredibly rewarding to see how this broad training can help tackle one of the most fundamental questions in science.”

[pokematlab]

I see you're familiar with mathworks and their lab.

I haven't heard of Mathworks, nor their lab. I searched for the name and a company appeared. A major product of theirs is MATLAB. I will admit, that is a funny coincidence. There is no relation, though. My username is "Pokémon in a material lab" with abbreviation. I'm sure the researchers at the lab use this software in their analysis, but I am totally unfamiliar with it.

[allassignmentexperts]

Advanced Simulink Support

1.Hardware-in-the-Loop (HIL) Simulation: Assists in testing control algorithms on physical hardware, critical for fields like automotive and aerospace engineering.

2.Embedded System Code Generation: Helps students generate code from Simulink models to run on microcontrollers or DSPs, essential for IoT and robotics.

3.Multi-Domain Modeling: Integrates systems across electrical, mechanical, and fluid power, useful for automotive and aerospace applications.

4.System Identification: Guides students in estimating parameters from real data, improving model accuracy for biomedical and chemical projects.

5.Cybersecurity in Control Systems: Simulates cyber-attack scenarios to assess control system resilience, relevant for smart infrastructure and critical systems.

Expanded Educational Support

1.Project and Dissertation Help: Full support for designing, testing, and reporting on complex projects.

2.Model Debugging: Assistance with troubleshooting issues in model configuration and simulation diagnostics.

3.Industry Certifications Prep: Helps prepare for certifications like MathWorks’ Certified Simulink Developer.

4.Career-Focused Mentorship: Guidance on applying Simulink skills in real-world roles in engineering and technology.

With industry-experienced tutors, customized support, and hands-on learning, All Assignment Experts ensure students master Simulink for both academic success and career readiness in engineering and tech.