#quantumcryptography

[govindhtech]

What is QML? How Can QML Serve as a Tool to Strengthen QKD

How Can Quantum Machine Learning Improve Quantum Key Distribution?

The QML definition

QML solves issues that traditional computers cannot using machine learning and quantum computing. Quantum mechanical ideas like superposition and entanglement may speed up data processing and analysis. QML can generate novel quantum-based algorithms or improve machine learning models.

Key Ideas:

Quantum computing uses qubits, which can be 0 or 1. This allows parallel processing and possibly faster computation for particular jobs.

Machine Learning: Prediction and decision-making using data.

QML blends the two by improving machine learning algorithms with quantum principles or running them on quantum computers.

QML, an interdisciplinary field that blends classical machine learning with quantum computing, will improveQuantum key distribution (QKD), a critical aspect of secure quantum communication systems. QML may improve quantum cryptography protocols' scalability, performance, and dependability in practice, according to recent studies. Data encoding and hardware limits hinder QML integration, which is relatively young.

The most useful use of quantum cryptography is QKD, which uses quantum physics rather than mathematical complexity to revolutionise secure communications. QKD enables two parties to create and exchange a private encryption key over a quantum channel, detecting eavesdropping. This detection capacity is enabled by QKD approaches' quantum particle disruption alerts while measuring or intercepting quantum particles like photons.

A study argues QML supports QKD in several crucial ways:

Improved State Selection and Error Reduction: QML algorithms can help choose quantum states for transmission by avoiding error-prone setups and repeated measurements.

Real-Time Anomaly Detection: QML models like quantum neural networks or quantum-enhanced classifiers can detect tampering or eavesdropping efforts by detecting deviations in predicted patterns like quantum bit error rates or transmission timing.

Optimising Protocols: QML can construct adaptive QKD protocols that adjust operating parameters to channel circumstances using reinforcement learning.

QML fixes side-channel weaknesses in physical implementations and improves quantum random number generators, which generate keys, in efficiency and unpredictability.

QML has several uses beyond QKD and quantum cryptography subjects such safe multi-party computation and homomorphic encryption. It may improve neural network training, reduce dimensionality using principal component analysis, create realistic data, speed up classification operations, find detailed patterns with Boltzmann machines, and cluster high-dimensional datasets. QML can also improve natural language processing, imaging, anomaly detection, supply chain and financial portfolio optimisation, molecular modelling for drug discovery and material development, and autonomous system policy optimisation.

Industry applications include energy grid optimisation, manufacturing scheduling, retail demand forecasting, financial risk management, public health modelling, aerospace trajectory optimisation, environmental modelling, healthcare diagnosis support, cybersecurity threat identification, and manufacturing scheduling.

QML relies on quantum computers to analyse big machine learning datasets. QML processes data faster using quantum principles like superposition and entanglement and qubits' sophisticated information encoding. This could lead to faster ML model training, better model training, and the chance to evaluate quantum-based ML algorithms. Quantum computers can see more complicated data patterns and calculate faster and with less energy.

Combining QML with QKD has challenges, despite its potential:

Current quantum hardware is unstable and unable to scale many QML algorithms.

Classical data conversion to quantum forms for processing is computationally expensive and error-prone.

Complexity, synchronisation issues, and latency result from combining conventional and quantum components.

Model Optimisation: Many QML models are updated from classical approaches, requiring more tailored quantum-native designs.

Algorithm Limitations: Quantum algorithms need more development to outperform conventional ones.

Limited Data and Integrations: QML lacks standardised integration methods with existing IT infrastructures, worsening data quality issues.

Researchers recommend creating QML frameworks tailored for cryptography applications that can run on noisy intermediate-scale quantum (NISQ) devices.

QML may improve quantum network robustness and flexibility as they evolve. QML's ability to manage distributed systems, diagnose issues, and optimise resource distribution will be vital in the future. QML could bridge the gap between scalable, secure infrastructure and fundamental physical principles in the quantum future to secure digital communication.

[crypythone]

What Is Quantum Computing? A Beginner’s Guide

Introduction: Unlocking the Future of Technology Quantum computing isn’t just a buzzword anymore, it’s shaping up to become one of the most revolutionary technologies of our time. From cryptography to finance to drug discovery, the possibilities are staggering. But what exactly is quantum computing, and why does it matter, especially for the worlds of blockchain and cryptocurrency? In this…

[market-insider]

Future Outlook of the Quantum Cryptography Market: Analyzing Size, Share, Growth Patterns

The global quantum cryptography market size is anticipated to reach USD 4,623.2 million by 2030 and is projected to grow at a CAGR of 38.3% from 2024 to 2030, according to a new report by Grand View Research, Inc. The COVID-19 pandemic significantly influenced market growth by amplifying cybersecurity concerns amidst the rapid shift to remote work and digital communication channels. This shift exposed organizations to heightened cybersecurity risks as remote access points and virtual collaboration tools became prime targets for malicious actors. The need for secure data transmission became more critical as sensitive information traversed networks outside the traditional confines of office environments. As organizations sought to fortify their defenses and safeguard their digital assets in this evolving threat landscape, the adoption of quantum cryptography emerged as a strategic imperative in ensuring the integrity and confidentiality of sensitive data exchanged over remote channels.

Quantum cryptography is finding applications in securing critical infrastructure such as power grids, transportation systems, and telecommunications networks. The need to safeguard these vital systems from cyber threats and ensure uninterrupted operation is driving the adoption of quantum cryptographic solutions among infrastructure operators and government agencies.

Retail and e-commerce companies are subject to various regulatory frameworks governing data security and privacy, such as the General Data Protection Regulation (GDPR) and the Payment Card Industry Data Security Standard (PCI DSS). Compliance with these regulations requires implementing robust encryption measures to protect sensitive customer information. Quantum cryptography offers a level of security that meets regulatory standards, enabling businesses to demonstrate compliance and avoid costly penalties for data breaches.

For More Details or Sample Copy please visit link @: Quantum Cryptography Market Report

Quantum Cryptography Market Report Highlights

Based on type, the software segment led the market with the largest revenue share of 43.8% in 2023. This can be attributed to the proliferation of smart devices. The services segment is expected to witness at the fastest CAGR during the forecast period, led by emergence of software-as-a-service (SaaS) businesses

Based on end-use, the healthcare segment is expected to witness at the fastest CAGR over the forecast period. This can be attributed to the rising focus on protection of patient confidentiality

In December 2023, QNu Labs, a Bengaluru-based quantum technology developer, received a fund of USD 6.5 million. The capital infusion drives the company's growth initiatives, focusing on enhancing its quantum technology solutions. The funds were allocated towards advancing research and development, expanding the customer base in Europe and the U.S., and establishing partnerships for satellite-based Quantum Key Distribution technology

[joelekm]

Unlocking the FUTURE of Encryption: How Quantum Cryptography Stops Hackers | Tech AI Vision

In this video, we explore Quantum Cryptography, a revolutionary technology that could change the way we protect our digital data. With cyber threats becoming more advanced, traditional encryption methods are no longer enough to keep our information safe. Quantum Cryptography uses the principles of quantum physics to create ultra-secure encryption keys that are nearly impossible to hack. We’ll explain how this technology works and why it’s so important for securing our digital future.

[iwebtechways]

Quantum Cryptography: The Future of Super Secure Encryption

In the battle to keep our information safe from hackers, encryption plays a vital role. But with the arrival of quantum computers, traditional encryption methods are at risk. Quantum cryptography offers a new kind of protection, using the strange rules of quantum physics. This article explores how quantum cryptography could change the way we keep our data safe online.Understanding Quantum…

[usnewsper-business]

Quantum Cryptography: Why It's Important For Your Cybersecurity Strategy #cryptography #quantumcomputer #quantumcryptography #quantumkeydistribution #quantumsafecryptography

[usnewsper-politics]

Quantum Cryptography: Why It's Important For Your Cybersecurity Strategy #cryptography #quantumcomputer #quantumcryptography #quantumkeydistribution #quantumsafecryptography

[delibugle]

Unleashing the Power of Quantum Computing:Description

Quantum computing represents a paradigm shift in computational capabilities, harnessing the principles of quantum mechanics to perform calculations that were once thought impossible. This transformative technology has the potential to revolutionize fields ranging from cryptography and optimization to drug discovery and materials science. for more info https://delibugle.in/benefits-of-quantum-computing-innovations/

[livesanskrit]

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Subhash Kak (born 26 March 1947, Srinagar) is an Indian-American computer scientist and a Hindutva-based historical revisionist. He is the Regents Professor of Computer Science Department at Oklahoma State University–Stillwater, an honorary visiting professor of engineering at Jawaharlal Nehru University, and a member of the Indian Prime Minister's Science, Technology and Innovation Advisory Council (PM-STIAC).

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[govindhtech]

NordVPN Uses Post-Quantum Encryption To Protect User Data

After-quantum encryption

NordVPN has implemented post-quantum encryption on all platforms to combat future quantum attacks.

NordVPN, a leading cybersecurity service, released post-quantum encryption across all its VPN apps. This crucial upgrade has been fully implemented across all supported platforms to prevent large-scale quantum computers from decrypting user data.

Implementation began with the September 2024 version of NordVPN Linux. This phase includes the first post-quantum NordLynx protocol cryptographic improvement in a Linux software update. WireGuard calls NordLynx a fast and secure VPN protocol. The revised technique met NIST's latest post-quantum encryption criteria. Linux deployments aimed to protect users against quantum decryption and measure performance metrics like latency and connection rates.

"The collected data served as a stepping stone to quantum-resistant encryption on the rest of the platforms," said NordVPN CTO Marijus Briedis. He said, “The Linux case demonstrated that it successfully maintained the highest level of user experience in terms of connection time and speed during the transition”. This initial phase's accomplishment cleared the way for post-quantum cryptography support in other applications.

NordVPN brought PQE to Windows, macOS, iOS, Android, tvOS, and Android TV in 2025. Any software that supports PQE can now use it. PQE upgrade adds quantum-resistant algorithms to NordLynx. The protocol meets the latest NIST post-quantum encryption standards. The implementation follows August 2024 US National Institute of requirements and Technology (NIST) post-quantum cryptography requirements. NordVPN uses quantum-safe mathematical methods in its VPN infrastructure to secure data long-term.

We took preventive steps because we thought quantum computer technology might threaten us. Quantum computing uses quantum physics to calculate tenfold faster than digital computers. Even in its infancy, quantum computing could outperform the fastest systems. It could break encryption systems, but this massive power could benefit space exploration and medicine by modelling molecules to repair ailments.

Due of quantum computers' processing power, cybersecurity is difficult. Quantum computers may swiftly surpass RSA encryption, which takes ordinary computers hundreds of years to master, researchers say. Such computational capacity threatens governments, corporations, and individuals.

Experts say hackers are already storing encrypted data for later deciphering, which is the biggest issue with quantum computers. Marijus Briedis suggests cybercriminals are increasing their “harvest now, decrypt later” tactics. They want to collect massive amounts of encrypted data to decrypt after quantum technology is mastered. Quantum computing is still in its infancy, but securing critical data now improves cybersecurity for consumers and organisations.

Due to this, large IT corporations, governments, and organisations like the FBI and CIA are monitoring the technology's development and seeking post-quantum encryption solutions. NordVPN implemented post-quantum cryptography to protect private data from quantum criminals. By incorporating PQE into their VPN infrastructure today and in the post-quantum era, NordVPN hopes to protect their clients' data. This launch marks a “major transition to new-generation encryption of all our applications, providing long-term security for our users” according to Briedis.

PQE is easy to enable. A toggle switch in the app's “Settings” under “Connections” enables it. The function will automatically start when the user connects via NordLynx once activated. Remember to disable PQE while using obfuscated servers or protocols like OpenVPN. It also conflicts with Meshnet and other features.

Implementing post-quantum encryption is challenging and resource-intensive. Newer security methods require larger key sizes and signatures. This may increase computational cost and VPN speed and performance, especially in high-throughput settings.

With this complete implementation, NordVPN joins Mullvad and ExpressVPN in offering full PQE integration. Reports say other providers are implemented at various stages. NordVPN is part of industry-wide efforts to future-proof digital privacy for “Q-Day” threats.

Concerning NORDVPN NordVPN, the world's most advanced VPN provider, is trusted by millions of internet users. The service offers dedicated IP, Double VPN, and Onion Over VPN servers to improve online anonymity with zero monitoring. A key feature of NordVPN is Threat Protection Pro, which scans downloads for malware and blocks hazardous websites, trackers, and adverts. NordVPN, a part of Nord Security, launched Saily, a global eSIM service. NordVPN is known for its user-friendly design and over 7,600 servers in 118 countries at the cheapest prices.

[crypythone]

The Race for Quantum-Resistant Cryptography: Is Crypto Ready for the Future?

🚀 Quantum computing is advancing at an unprecedented pace, sparking fears that it could break existing blockchain encryption. With the potential to crack traditional cryptographic algorithms, quantum computers pose a significant threat to cryptocurrencies like Bitcoin and Ethereum. But is the crypto industry prepared for this shift? Can blockchain networks transition to quantum-resistant…

[gis56]

Quantum Optical Circuits Market to Soar 🚀 $5.8B by 2034! 🔬 #QuantumTech #Innovation

Integrated Quantum Optical Circuits is revolutionizing data processing and secure communications through quantum mechanics. This market is characterized by advancements in quantum computing, telecommunications, and ultra-sensitive sensors, leveraging components like waveguides, modulators, and detectors. These innovations are driving next-generation high-performance and secure data solutions across industries.

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Rapid growth in quantum computing and telecommunications is fueling market expansion. The quantum computing sector leads, backed by increasing R&D investments. Telecommunications follows, benefiting from the rising demand for high-speed data transmission. North America dominates, driven by strong technological infrastructure and substantial funding in quantum technologies. Europe ranks second, supported by collaborative initiatives and government-backed projects. The United States and Germany are the top-performing countries, leveraging innovative ecosystems and academic excellence. Meanwhile, the Asia-Pacific region, led by China and Japan, is witnessing rapid growth through strategic partnerships and increasing investments. This expansion is further bolstered by government support and a growing talent pool, ensuring continued breakthroughs in quantum technology.

Key market segments include active, passive, and hybrid components, catering to applications such as telecommunications, data centers, quantum computing, and biomedical research. The market also encompasses technologies like silicon photonics and lithium niobate, which are critical for fabricating advanced quantum optical circuits.

In 2024, the market achieved robust growth, reaching a volume of approximately 650 million units. The telecommunications sector leads with a 45% market share, driven by high-speed data demands. The healthcare sector holds 30%, leveraging quantum optics for advanced imaging, while the defense and aerospace sector captures 25%, utilizing quantum circuits for secure communications. This segmentation underscores the increasing reliance on quantum technologies across industries.

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[joelekm]

Unlocking the FUTURE of Encryption: How Quantum Cryptography Stops Hackers | Tech AI Vision

In this video, we explore Quantum Cryptography, a revolutionary technology that could change the way we protect our digital data. With cyber threats becoming more advanced, traditional encryption methods are no longer enough to keep our information safe. Quantum Cryptography uses the principles of quantum physics to create ultra-secure encryption keys that are nearly impossible to hack. We’ll explain how this technology works and why it’s so important for securing our digital future.

[globalinsightblog]

Quantum Cryptography Chips: From $1.2B in 2024 to $12.5B by 2034—What’s Driving the Growth?

Quantum Cryptography Chips Market is poised for exceptional growth, with a projected expansion from $1.2 billion in 2024 to $12.5 billion by 2034, reflecting a CAGR of approximately 26.0%. This market focuses on the development of semiconductor chips that leverage the principles of quantum mechanics to provide unmatched data security. By enabling unbreakable encryption, these chips ensure data integrity and confidentiality, making them essential for industries such as finance, defense, and telecommunications, which increasingly require advanced security solutions in today’s digital landscape.

To Request Sample Report: https://www.globalinsightservices.com/request-sample/?id=GIS11061 &utm_source=SnehaPatil&utm_medium=Article

The growth of the Quantum Cryptography Chips Market is largely driven by the rising threat of cyberattacks and the ongoing advancements in quantum computing. The telecom and IT sectors lead the charge, with the increasing need for secure communication channels. Financial services follow closely, as institutions prioritize the protection of sensitive data. North America is the market leader, fueled by substantial investments in cybersecurity infrastructure and favorable government policies. Europe follows closely behind, with stringent data protection regulations and growing adoption of quantum technologies. The United States, in particular, stands out as a key player due to its technological expertise and strategic collaborations. In Europe, Germany is a driving force, benefiting from its strong industrial base and innovation-driven economy.

In 2023, the Quantum Cryptography Chips Market reached an estimated volume of 1.2 million units, with projections suggesting an increase to 2.5 million units by 2033. The telecommunications sector commands the largest market share at 45%, followed by financial services (30%) and government applications (25%). Leading players in the market include ID Quantique, Toshiba Corporation, and MagiQ Technologies, each playing a pivotal role in driving technological advancements and maintaining competitive advantages.

The future looks bright for this market, with continued growth fueled by innovations in quantum technologies. However, challenges such as high initial costs and technical complexities remain.

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