NEC halts quantum computer hardware development
NEC has stopped developing physical quantum computers, ending its hardware development programme at the end of March 2026, according to Diamond Online, citing industry sources. The company is reported to have withdrawn from machine development after concluding that practical commercialisation would take too long to generate returns commensurate with the investment. Nikkei subsequently reported the decision in September although NEC has not issued a public announcement about the withdrawal.
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Infleqtion, a global provider of neutral-atom solutions for quantum computing, networking, sensing, and security, has launched Japan’s first operational neutral-atom full-stack quantum computer. The system, referred to as “Shunkai”, is initially expected to operate with approximately 50 qubits, with plans to scale to around 500 qubits as development progresses. The project supports a research team led by Professor Kenji Ohmori at the Institute for Molecular Science (IMS), part of the National Institutes of Natural Sciences. Infleqtion was selected by the Japan Science and Technology Agency (JST) for its Quantum Moonshot program that aims to enable the transition from research and development to an operational full-stack quantum computing platform. “This milestone marks a pivotal moment for Japan’s quantum ambitions as well as Infleqtion’s role in advancing production-ready quantum platforms at scale,” said Pranav Gokhale, Chief Technology Officer at Infleqtion. “Bringing a full-stack quantum system into production operation is a meaningful step toward fault-tolerant quantum computing that also serves as strong validation of neutral-atom architecture. Our quantum processing unit delivers the programmability, scalability and fidelity control that next-generation systems demand.” As part of the next phase of the Ohmori Moonshot project that began in April 2026, the IMS team will focus on improving system integration, stability, and scalability, with the goal of realizing a high-performance neutral-atom fault-tolerant quantum computer with up to 10,000 physical qubits and quantum error detection and correction capabilities.The system is also expected to be made available to external users to support the development of applications and advance quantum error correction research across academia and industry. Research And Markets expects the global quantum computing market to reach an estimated US$ 7.7 billion by 2031, at a Compounded Average Growth Rate (CAGR) of 36.8 percent from 2025 to 2031. “The quantum computing market in Japan is also forecasted to witness
1d ago · via w.media
Cyprus reports cyber risks of AI and quantum computing in 2026 The Cypriot publication Cyprus Mail reported on KPMG’s Cybersecurity considerations 2026 report, which names the rapid adoption of artificial intelligence, geopolitical tensions and the prospect of quantum computing as factors complicating cyber protection for businesses. The document identifies eight priorities for organizations, as cybersecurity is becoming increasingly closely linked to resilience, innovation and growth. The report is based on the findings of more than 20 KPMG cybersecurity specialists from different countries, as well as senior executives from Google, Microsoft, Palo Alto Networks and ServiceNow. KPMG noted that the spread of AI, fragmented regulation, supply chain disruptions, hyperconnectivity and the emergence of non-human identities are changing the responsibilities of chief information security officers. AI and non-human identities The report describes artificial intelligence as a technology with a dual effect. Security teams can use it to detect threats and respond to them faster and more effectively. At the same time, malicious actors can use AI to automate and scale attacks, as well as develop more sophisticated methods of bypassing defenses. More current news is available on the UA.News Telegram channel Telegram. The spread of agentic AI and digital agents increases the need to control non-human identities, including AI agents, service accounts and machine credentials. According to KPMG, automated environments already contain more such identities than human users. Organizations therefore need to review identity management throughout the lifecycle of people and machines. Post-quantum cryptography and infrastructure KPMG considers the emergence of quantum computers capable of breaking current encryption to be a separate medium-term cyber risk. The transition to post-quantum cryptography will require significant changes in organizations. KPMG noted that countries are developing recommendations and rules for switching to new encryption methods, while the financial and defense sectors may face an existential threat
1d ago · via ua.news
The national team has joined forces with industrial capital to make an angel round investment in the quantum industry. Still remains red-hot. On September 7, Shanghai JuLiang PhotonQ, a superconducting quantum computing company, announced the completion of a RMB 300 million Angel+ round of financing. This round was led by China New Venture Capital, with co-investments from Fosun RZ Capital, Xingxiang Capital, Dinghe Gaoda, Jinyumaowu, Yunshi Capital, Junchenda Capital, GLP Hidden Hill Capital, Blue Lake Capital, Ruoqing Capital and other institutions. Existing shareholder Junshan Capital made an oversubscribed follow-on investment. Yirong Capital served as the long-term lead financial advisor. Only more than 3 months have passed since its previous round of financing. So far, the total financing of JuLiang PhotonQ's angel rounds has reached RMB 500 million. It is learned from Pedaily that this round of financing was also oversubscribed, and many institutions took the initiative to contact the company within a short period of time. JuLiang PhotonQ was founded in 2025. Its founder, Yu Wenlong, is a post-85s returned overseas PhD. After graduating from the University of Science and Technology of China with a bachelor's degree in physics, he went to the United States to pursue his PhD in physics at Georgia Tech. After graduation, he joined the Quantum Phenomenon Division of the US National Laboratory, and has long been engaged in the engineering of superconducting quantum devices and quantum computing. At the beginning of its establishment, he gathered a group of overseas technical talents with similar experiences, committed to promoting superconducting quantum computing to real industrialization. All eyes are waiting for this leap of quantum computing from the cutting edge of science to the depth of the industry. RMB 500 Million in Angel Rounds Central SOE State-owned Capital and Industrial Capital Gather Looking closely, the lineup of investors
1d ago · via eu.36kr.com
A Group of Seven (G7) cybersecurity working group urged governments and companies to immediately begin shifting to post-quantum cryptography. While the arrival of practically usable quantum computers is uncertain, it judged that technology capable of threatening existing public-key cryptography is advancing faster than expected. Cryptocurrency networks are also facing quantum computing as a new security challenge because they use public-key cryptography for transaction signatures and fund management. On Sept. 5 local time, blockchain outlet Cryptopolitan reported that the G7 cybersecurity working group released a report on Sept. 3 titled "Preparing for the Post-Quantum Era: A Call to Action". The report stressed that governments and companies should begin the transition to post-quantum cryptography before quantum computers can actually neutralise existing cryptographic systems. The G7 did not present a specific timeline for when quantum computers will be commercialised. It said recent technical advances point to the likely development of quantum computers capable of breaking widely used public-key cryptography. In particular, the G7 identified "harvest now, decrypt later" attacks as a key risk. In such attacks, an attacker secures encrypted data now and decrypts it later when quantum computers become sufficiently advanced. The blockchain industry is also paying attention to such risks. Because blockchains are structured so transaction records and some public-key information remain for long periods, there are concerns that even currently secure cryptography could become a target of future attacks using quantum computers. The G7 recommended that countries pursue not only new cryptographic algorithms but also national-level policy, research, public-private cooperation and procurement standards that take post-quantum technology into account. The European Union has already presented a specific transition schedule. In June last year, the EU introduced a joint implementation roadmap for the shift to post-quantum cryptography and told member states to begin the transition by the end of 2026. It
Sep 7, 2026 · via digitaltoday.co.kr
Scientists find a way to slash computer memory energy use by orders of magnitude A new mathematical framework could slash the energy needed to store and manipulate digital information. - Date: - September 6, 2026 - Source: - University of Edinburgh - Summary: - Scientists have devised a new way to switch magnetic computer memory while using far less energy than today's leading technologies. By mathematically optimizing the pulses used to flip digital bits, the method could reduce energy consumption by several orders of magnitude. Simulations suggest it may bring future memory devices surprisingly close to the fundamental physical limit for processing information. The same idea could eventually work with electrical currents or ultrafast lasers. - Share: Artificial intelligence (AI) and other information and communication technologies (ICTs) are producing and processing data at a scale never seen before. Internet searches, AI-generated images, recommendation systems, scientific simulations, and large language models all depend on enormous amounts of information being created, moved, stored, and analyzed. As AI becomes more deeply integrated into everyday life, industry, and science, the global need for computing power and data storage continues to climb. AI's Growing Energy Demand That expansion also brings a major challenge: electricity use. Data centers already require huge amounts of power, and their energy demands are expected to rise substantially in the coming decades. Without significant improvements in efficiency, ICTs could eventually represent a sizable share of worldwide electricity consumption and carbon emissions. Finding ways to make computing more energy efficient is therefore becoming increasingly important as demand for digital services accelerates. Researchers at the University of Edinburgh have developed a new theoretical framework that could help reduce the amount of energy needed to store and manipulate digital information (bits, represented as "0"s and "1"s) in future magnetic memory technologies. A More Efficient
Sep 7, 2026 · via sciencedaily.com
Several recent advances are forcing the G7 Cybersecurity Working Group to re-evaluate the timeline for quantum computing’s threat to digital security, shifting the focus from a distant possibility to an immediate risk. The group asserts that transitioning to post-quantum cryptography (PQC) is no longer a future consideration, but a necessary upgrade to safeguard organizations against both conventional cyberattacks and the emerging quantum threat. “Transitioning to PQC is not a problem for individual organizations to solve in isolation, but rather a collective transition,” the G7 group states, emphasizing the need for coordinated planning between public and private sectors to address these growing vulnerabilities. This call for collective action underscores the urgency of preparing for cryptographically relevant quantum computers and protecting long-term data confidentiality. G7 Highlights Growing Threat of Cryptographically Relevant Quantum Computers The group’s analysis points to several recent advances as catalysts for this revised perception, prompting a re-evaluation of preparedness strategies across both public and private sectors. These computers, powerful enough to break current public-key cryptography, are defined as cryptographically relevant quantum computers (CRQCs) capable of solving complex factorization and discrete logarithm problems used in vulnerable systems. This dual-purpose functionality positions PQC as a proactive security measure, rather than a reactive response to an impending technological shift. The G7 report emphasizes that PQC is a new field of cryptography designed to resist both classical and quantum cryptographic attacks, offering a comprehensive solution for evolving security needs. The group identifies five priority areas for PQC migration, building on initiatives already advanced by G7 countries to encourage proactive measures and inspire global adoption of these critical security protocols. The G7 Cybersecurity Working Group asserts that organizations must proactively address the quantum threat to maintain data security, rather than waiting for confirmed availability of cryptographically relevant quantum computers (CRQCs). This shift in perspective
Sep 6, 2026 · via quantumzeitgeist.com
Oak Ridge National Laboratory hosted the three-day Southeastern Quantum Conference in Chattanooga, Tennessee, bringing together experts to accelerate the transition of quantum research into practical applications. The event featured a panel of directors from all five National Quantum Information Science Research Centers, signaling a shift in the nation’s quantum ecosystem from foundational research to scalable technologies. “The pace of innovation in quantum science depends on bringing together expertise from across the research community,” said Gina Tourassi, associate laboratory director for ORNL’s Computing and Computational Sciences Directorate, alongside Cynthia Jenks, associate laboratory director for ORNL’s Physical Sciences Directorate, as they welcomed attendees. The conference underscored the growing need for collaboration to integrate quantum technologies with artificial intelligence and high-performance computing. DOE Centers Advance Scalable Quantum Technologies & Applications OpenQSE, an international effort to establish common architectures for hybrid computing, exemplifies the growing emphasis on collaborative development within the quantum field, according to Travis Humble, director of the Quantum Science Center headquartered at Oak Ridge National Laboratory. The panel underscored a national shift in quantum research, moving beyond foundational studies toward technologies capable of scaling for practical applications and addressing complex scientific challenges. The five NQISRCs have evolved into complementary organizations, each possessing distinct strengths while prioritizing scalable quantum hardware, advanced materials, algorithm development, resource estimation, and workforce training, panelists reported. ORNL’s Hybrid Architectures Integrate Quantum with HPC & AI ORNL is actively developing hybrid quantum-classical computing architectures, combining its leadership-class supercomputers with emerging quantum technologies to accelerate scientific discovery, according to Humble. This approach moves beyond simply constructing quantum computers to focusing on their practical application within existing high-performance computing ecosystems. He emphasized that the future hinges on integrating quantum technologies with artificial intelligence and HPC, creating workflows capable of solving problems intractable for conventional systems. “The question is no longer
Sep 6, 2026 · via quantumzeitgeist.com
Indian diplomats Abhay Kumar, KJ Sreenivasa visit Karnataka Big News Network.com Indian diplomats Abhay Kumar, KJ Sreenivasa visit Karnataka Bengaluru (Karnataka) [India], September 6 (ANI): India's Ambassador to Azerbaijan Abhay Kumar and Consul General to Los Angeles KJ Sreenivasa visited the state of Karnataka from August 31 to September 4 as part of their mid-career training programme conducted by the Sushma Swaraj Foreign Service Institute, New Delhi. During the visit, he met the Governor Thaawarchand Gehlot, Chairman of the Legislative Council of Karnataka Saleem Ahmed, Chief Minister DK Shivakumar and the Minister of Home Affairs, IT and BT, Priyank Kharge; Minister of Transport B. Suresh; Minister of Industries MB Patil; and Minister of Energy and Tourism, KJ George. They also visited the premises of Indian companies such as Centum and Sarvam AI, which are doing significant work in the areas of cutting-edge technologies. They also visited the CV Raman Research Institute and witnessed the significant work being done in the area of quantum computing. According to the release, the visit allowed them to witness India's growing strength in the frontier areas of science and technology. Earlier they also attended two week training course at the Sushma Swaraj Foreign Service Institute in Delhi along with 2002-2003 batches of Indian Foreign Service, where they began their training by calling on External Affairs Minister S Jaishankar, Foreign Secretary Vikram Misri, and attended lectures and workshops by several eminent speakers including former Indian Ambassadors Ajay Bisaria, Sujan Chenoy, Mohan Kumar, Venkatesh Verma, Pankaj Saran, Sanjay Sudhir, Arun Singh, Javed Ashraf, Arvind Gupta, among others, head of the GIFT city, former President of ICCR Vinay Sahasrabuddhe, among others. They also called on the Union Minister of Petroleum and Natural Gas, Hardeep Singh Puri. They also spent a day at Bharat Mandapam, where ITPO organised interactions
Sep 6, 2026 · via bignewsnetwork.com
On January 6, 2024, at a research facility in Hefei, Anhui Province, China, operated by Origin Quantum Computing Technology (æ¬æºéå计ç®ç§æ), the third-generation superconducting quantum computer "Origin Wukong" began operation. More than two years later, in September 2026, Chinese state media outlets including Science and Technology Daily and Global Times reported one after another that a "quantum router" running on this Wukong processor had achieved a transmission efficiency of up to 98%. The reports were quickly picked up and reprinted by some English-language outlets, framed as a "breakthrough toward large-scale quantum memory." In everyday conversation, the word "router" typically conjures images of communication equipment relaying photons across long-distance fiber-optic networks, or repeaters connecting nodes in a quantum internet. But this experiment was not concerned with inter-city communication infrastructure. It concerns an on-chip componentâcooled to near absolute zero inside a dilution refrigerator on a single silicon dieâthat directs information exchanged between adjacent qubits. At the core of the announcement is the fact that a building block for constructing bucket-brigade quantum random access memory (QRAM), long considered a theoretical challenge, was operated on real hardware. The published figure of "98%" cannot be taken at face value. There is a structure behind the number that demands careful reading: the transmission efficiency of a single unit, the drop in fidelity when scaling to multiple layers, and the time lag between the paper's publication and its media promotion. ãã¼ã¿ã表ã§è¦ã | | Measured value (%) | |---|---| | Single router transmission efficiency | 98 | | Two-layer network transmission efficiency | 93 | | Single router fidelity (max paper value) | 95.74 | | Single router fidelity (reported average) | 94.8 | | Two-layer network fidelity (average) | 82.4 | As the chart shows, while single-unit transmission efficiency reaches 98%, the numbers decline progressively when scaling to
Sep 6, 2026 · via xenospectrum.com
AI hype cycles repeat, 1963 book shows According to @timnitGebru, a 1963 book excerpt mirrors today’s AI hype cycles, highlighting recurring claims and lingo across decades. Source Analysis The discussion sparked by a 1963 book excerpt from The Modeling of Mind Computers and Intelligence highlights recurring patterns in artificial intelligence development that mirror today's generative AI surge and industry excitement. Key Takeaways - Historical AI hype cycles from the 1960s continue to influence current market investments in large language models and machine learning platforms. - Businesses can capitalize on ethical AI frameworks to differentiate offerings and meet growing regulatory demands in data privacy and bias mitigation. - Implementation challenges such as overpromising capabilities require practical solutions focused on scalable infrastructure and talent development for sustainable growth. Deep Dive into Recurring AI Hype Cycles Artificial intelligence trends show repeated phases of optimism followed by periods of recalibration as seen in early computing research. Modern advancements in neural networks and transformer architectures build directly on foundational ideas from decades past while amplifying computational power and data availability. This evolution drives applications across sectors including healthcare diagnostics and financial forecasting where predictive accuracy improves operational efficiency. Market Trends and Competitive Landscape Key players such as major technology firms invest heavily in foundation models to secure market share. Smaller enterprises explore niche applications like customized chatbots for customer service to compete effectively. Regulatory considerations emphasize compliance with emerging standards on transparency and accountability to avoid legal pitfalls. Ethical implications remain central as biased training data can perpetuate societal inequalities. Best practices include diverse dataset curation and ongoing audits to promote fairness in deployed systems. Business Impact and Opportunities Direct industry impacts include accelerated automation in manufacturing and logistics leading to cost reductions and productivity gains. Monetization strategies involve subscription based AI services and API
Sep 6, 2026 · via blockchain.news
ECE 396 / COS 396 / QSE 320 home |ψ⟩⟨ψ| syllabus |ψ⟩⟨ψ| assignments |ψ⟩⟨ψ| ed Welcome to the Fall 2026 offering of Intro to Quantum Computing! This course will introduce quantum mechanics, and then explore it with an eye towards its power to compute in new and exciting ways. This course has a prerequisite of sophomore linear algebra at the level of MAT 202, 204, 217 or the equivalent. A previous quantum mechanics course will not be required. Beyond linear algebra, a basic understanding of probability, complex numbers, and algorithms is recommended. Please contact the instructor if you wish to take the course but do not currently meet these requirements. Sign up for Meet the Professor here!! Lectures: Mondays and Wednesdays, 10:40 am – 12:00 pm, in Friend Center 006 Instructor office hours: Mondays 12:00 – 1:00 pm, in COS 308 TA office hours: Tuesdays and Thursdays 5:00 – 6:30 pm, in COS 301 Instructor: Ewin Tang Graduate teaching assistants: Lakshika Rathi, Hongkun Chen, Salahedeen Issa Everything here is subject to change. | Date | Lecture | Course information | References and further reading | |---|---|---|---| | 09/02 | What are quantum computers (good for)? how to simulate physical systems; the (extended) Church-Turing thesis; current status of quantum computers; current status of claims of quantum advantage; syllabus based on Aaronson, Lecture 1, O’Donnell(1) Lecture 1, O’Donnell(2) Lecture 3 | pset 0 out | Aaronson, NP-complete Problems and Physical Reality (Can I use physics to cheat the limits of computation?) Feynman, Simulating Physics with Computers (The famous lecture!) Shor, The Early Days of Quantum Computation (Shor’s quantum computing lore) Aaronson, Read the Fine Print (The caveats behind quantum machine learning) Dalzell et al., Quantum Algorithms: A Survey of Applications and End-to-End Complexities (A comprehensive look at applications of quantum computing) |
Sep 6, 2026 · via cs.princeton.edu
Researchers have developed a technique to detect the entanglement structure of a multipartite system, which is tractable to implement in a quantum computer. By exploiting symmetries under permutations and unitaries, the work detects the ways in which multiple qubits are linked, a notoriously difficult challenge in quantum physics. The results, detailed in Table I, identify families of bound entangled states within the characterized systems and also lead to new symmetric matrix inequalities, a long-standing problem in mathematics. Four-Qubit Systems Characterized via Entanglement Partitions The ability to discern the intricate structure of entanglement within quantum systems has advanced to encompass four qubits, moving beyond established methods for bipartite systems. This technique allows for the detection of entanglement partitions, the way entanglement is distributed across multiple qubits, a notoriously difficult task in quantum information science. Researchers used symmetries under permutations and unitaries to detect these partitions, offering a pathway to understand more complex entanglement structures. This characterization relies on a process of weak Schur sampling, implemented on a quantum computer, and the subsequent analysis of probabilities obtained from measuring the system. The process projects the quantum state onto irreducible subspaces, labeled by lambda, allowing researchers to identify states that do not belong to specific separability partitions. Determining the separability partition, denoted as kappa, is important for applications like distributed computing and network communication, as it reveals the entanglement depth and separability length of a quantum state. For instance, a state described as indicates a specific level of entanglement distribution, while denotes another. Proposition 2 within the research details the criteria for separability partitions in three-partite systems. This analytical framework extends to larger systems, enabling the computation of criteria for systems with increased complexity and fewer free parameters. The method allows for the detection of many-body states where no single qubit is separable
Sep 6, 2026 · via quantumzeitgeist.com
Researchers from Science Tokyo have fabricated BFCO nanodots to directly observe how electric fields restructure polarization and reverse magnetization, a key step toward lower-energy data storage. The team reports demonstrating reliable magnetization reversal using electric fields instead of current, potentially solving a growing energy challenge posed by cloud computing, artificial intelligence, and data centers. Magnetic memories using this method are non-volatile, retaining information without power, and avoid the energy-dissipating Joule heat of current-based writing. This research offers a pathway to significantly more energy-efficient memory devices. Piezoresponse Microscopy Maps Polarization Switching in BFCO Nanostructures Piezoresponse force microscopy revealed a distinct shift in electric polarization within 190 nm BiFe 0.9 Co 0.1 O 3 (BFCO) nanodots when subjected to an electric field, directly visualizing the mechanism behind magnetization reversal. Researchers observed an initial polarization structure transform into a center-divergent structure, a change that helps control magnetic properties at the nanoscale. This restructuring wasn’t a simple spin flip, but a rotation of the magnetic moment within the material’s easy plane, responding directly to the altered polarization. The team’s imaging combined piezoresponse force microscopy, mapping electric polarization, with scanning nitrogen-vacancy center magnetometry, detecting magnetic fields to correlate the two phenomena. The observed link between polarization switching and magnetization direction is significant because it demonstrates a pathway to manipulate magnetic states without relying on electric current. The researchers report highlighting the potential for more efficient memory devices. This control at nanoscale dimensions, roughly one-thousandth the width of a human hair, is particularly relevant to the ongoing miniaturization of semiconductor devices. The ability to reliably reverse magnetization using electric fields, rather than current, circumvents the energy losses associated with Joule heating, a major concern in high-density data storage. This precise control over magnetic configuration has implications for addressing the increasing energy demands of modern technologies. Published
Sep 6, 2026 · via quantumzeitgeist.com
Singularity remains unresolved, but capital cannot wait for an answer. 0 and 1 are the endpoints of a normalized governance range. This is Authorized Intelligence: a pre-execution check testing a proposed parameter against a defined boundary before it becomes action, regardless of which engine — classical or quantum-assisted — produced the proposal. Live: www.0to1doctrine.com This invention is a checkpoint. Every field can speak its own language — physics in joules, medicine in enzyme levels, AI in probabilities. A quantum-assisted credit model could flag an application as low-risk; a classical model, checking the same application, could read it differently. Nothing is necessarily wrong with either result. The problem is that the underlying measures may not share a common decision framework. Defined normalizable parameters can instead be converted into a shared 0-to-1 representation, making relevant differences visible before a consequential decision. This invention creates that common governance layer. WHY THIS KEEPS HAPPENING Every control built for one engine inherits the blind spot of never having questioned what a different engine’s numbers actually mean. Most governance tooling was built to test classical outputs against classical thresholds. It was never built to ask whether a quantum-derived confidence interval, an amplitude-based estimate, or a hybrid pipeline’s result means the same thing the threshold assumes it means. A qubit is not a classical bit behaving like a tiny 0 and 1 — quantum computation uses states and amplitudes; measurement produces a classical outcome, but not necessarily one calibrated the way a classical system expects. A GATE THAT DOES NOT CARE WHICH ENGINE PRODUCED THE NUMBER The check was never on the computation. It was always on the proposed consequence. The 0→1 Doctrine uses 0 and 1 differently from either classical bits or qubits: as endpoints of a normalization range testing a proposed action against a defined
Sep 5, 2026 · via indiatechnologynews.in
Every Bitcoin transaction and every Signal message leans on an elliptic curve to prove who signed what. They are not the same curve, and the difference is not cosmetic. Bitcoin and Ethereum run on secp256k1, a curve Certicom published in 1999 with almost no marketing behind it. Signal, WireGuard, modern SSH keys, and the X25519 key exchange in TLS 1.3 run on Curve25519, a curve Daniel J. Bernstein built in 2005 specifically to be fast and hard to implement wrong. Both give you roughly 128-bit security. Neither is going away. This comparison pulls apart the math, the benchmarks, and the deployment reality so you can pick the right one for your project instead of copying whatever the last tutorial used. What Curve25519 and secp256k1 Actually Are Curve25519 is a specific elliptic curve defined over the prime field 2^255 – 19, described by Bernstein as a Diffie-Hellman function built for speed and safety at the same time. Its equation, y^2 = x^3 + 486662x^2 + x, is written in Montgomery form, a shape chosen for one purpose: fast, constant-time scalar multiplication (Wikipedia). The signature scheme built on the same field, Ed25519, uses a birationally equivalent twisted Edwards curve so the same underlying arithmetic powers both key exchange (X25519) and signing (Ed25519). secp256k1 is a different animal. It is a short Weierstrass curve, y^2 = x^3 + 7, specified in Certicom’s SEC 2 standard alongside a family of NIST-style curves (SEC 2: Recommended Elliptic Curve Domain Parameters). Satoshi Nakamoto picked it for Bitcoin’s ECDSA signatures in 2008 or 2009, and Ethereum inherited the choice. secp256k1 was not designed around a specific implementation strategy the way Curve25519 was. Its constants are simple (a = 0, b = 7), which some developers read as easier to audit than the more opaque parameter generation used
Sep 5, 2026 · via shattered.io
Bitcoin and the Quantum Computer: Which Addresses Already Expose Their Keys The G7 called on September 3, 2026 for the post-quantum migration to start immediately, and the first European milestone expires at the end of this year. What that means for your Bitcoin, which addresses expose their public key, and how to check your own in a few minutes. If you hold your own Bitcoin, the most important question in the quantum debate is not a question about the future. It is one you can answer today on a block explorer: has your address ever revealed its public key? That single fact decides whether a future quantum computer could attack your coins at all. Addresses that have never sent anything do not show their key. Addresses you have spent from show it permanently. The occasion for this article is a paper that, at first glance, has nothing to do with cryptocurrencies. On September 3, 2026, the G7 Cybersecurity Working Group, chaired by France, published the joint statement "Preparing for the Post-Quantum Era: A Call to Action". The message: do not wait for the first capable quantum machine, but take stock of your own encryption now and start migrating. For you as a holder of Bitcoin, that is not an abstract matter for government agencies. The first European milestone for the switch expires at the end of this year, and the question of which of your addresses are exposed is a question of custody. This article answers three things: what on a blockchain would actually be vulnerable, how you can check your own position in a few minutes, and which deadlines the regulators have set. No price forecast, no doomsday. What the G7 statement of September 3, 2026 calls for The G7 nations are urging public authorities and companies to begin
Sep 5, 2026 · via cryptoticker.io
By rigorously establishing locations of quantum phase transitions (QPTs) within one-parameter lattice Hamiltonians, understanding of these fundamental shifts in physical systems has broadened. The analysis extends previous work and now determines locations for both first and second-order QPTs, using a transverse-field Ising model as an explicit example. A unifying principle regarding quantum phase transitions is established; these changes can be understood as ‘condensation’ within specific energy states. The analyses successfully identify where such transitions occur not only in first-order scenarios but also in more complex second-order cases, again employing the transverse-field Ising model as an illustrative instance. Understanding of quantum phase transitions (QPTs), fundamental shifts in physical systems occurring at extremely low temperatures, akin to water freezing into ice but governed by quantum mechanics rather than simple heat loss, has been improved. This builds upon previous analyses and rigorously determines where these transitions happen within ‘lattice Hamiltonians’, a mathematical description representing how particles interact on a regular grid structure similar to modelling balls connected by springs neatly arranged on a table. The team demonstrated this applies not only to straightforward, first-order QPTs, but also more complex second-order scenarios using the transverse-field Ising model as an example. Rigorous identification of both first and second order quantum phase transitions The analysis of quantum phase transitions (QPTs) has expanded its capabilities; it now rigorously identifies both first-order and second-order QPTs within one-parameter lattice Hamiltonians. Previously, methods were limited to identifying only first-order transitions such as freezing. Determining the locations of second-order transitions proved impossible with earlier techniques reliant on condensation in state space. The new approach successfully pinpoints these changes using the transverse-field Ising model as an example, demonstrating applicability to more complex scenarios. Transverse-field Ising models served as a demonstration for specifically defined one-parameter lattice Hamiltonians exhibiting second-order quantum phase transitions. Identifying
Sep 5, 2026 · via quantumzeitgeist.com
- United States - / - Specialized REITs - / - NasdaqGS:EQIX Should Equinix’s New AI and Quantum Inference Fabric Reshape the Narrative for EQIX Investors? - In recent days, Equinix, Inc. expanded its collaboration with NVIDIA and Together AI to launch the Equinix Inference Exchange, introduced the Equinix Fabric One managed connectivity service, and hosted the planned deployment of Diraq’s silicon spin quantum computer in its Sydney data center, integrating AI, cloud and quantum infrastructure across its global platform. - These moves highlight Equinix’s push to become a central infrastructure hub for next-generation AI and quantum workloads, offering enterprises automated, neutral connectivity and access to more than 200 open-source models through a single, fabric-based ecosystem. - We’ll now examine how Equinix Fabric One’s intent-based, multi-cloud connectivity could reshape Equinix’s investment narrative around AI-driven infrastructure demand. This technology could replace computers: discover 25 stocks that are working to make quantum computing a reality. Equinix Investment Narrative Recap To own Equinix, I think you need to believe that neutral, globally distributed digital infrastructure will remain essential as AI, cloud and interconnection demand evolves. The key near term catalyst is how effectively Equinix converts AI interest into higher recurring interconnection and power-dense deployments, while the biggest risk is that its heavy, debt funded buildout runs into higher-for-longer financing costs or slower demand. The latest AI and quantum announcements support the catalyst, but do not materially change those core risks. Among the recent news, Equinix Fabric One looks most directly tied to that catalyst. By offering intent based, any to any connectivity across enterprises, clouds and AI providers, Fabric One extends Equinix’s role beyond real estate into managed, fabric driven networking services. If enterprises adopt it at scale, that could reinforce interconnection as a higher margin growth engine, but it would still sit
Sep 5, 2026 · via simplywall.st