Quantum computing and artificial intelligence are forcing technologists and businesses to fundamentally reimagine the role of computers in business. At IBM Research, one scientist wants them to think even bigger than that. In a series of lectures this summer, IBM Fellow Kush Varshney urged his fellow scientists to use this inflection point to rethink the very technical foundations of computing, incorporating mythology, symbolic mathematics, media studies and much more. To Varshney, these disciplines are inspiration for completely new, as-yet-unimagined forms of computer logic. Touching on everything from the works of information theorist Claude Shannon to the sacred Vedic texts of India to Joan Baez playing at Sing Sing, Varshney’s talks have already inspired his fellow IBM researchers to undertake a number of experiments, such as building an interactive illustration of a sign language for quantum computing and applying category theory to the construction of quantum circuits. Varshney spoke with IBM Think about what a computer can be, and how unexpected influences can power new innovations. An edited and condensed version of the conversation follows. I’m trying to look from different angles at what it means to think, what it means to create meaning with language and how there are many different languages and ways of communicating that lead to different constraints. Even though we have this new technology with LLMs, it’s similar to many things that humanity has dealt with in the past. We shouldn’t forget to stand on the shoulders of giants. Get curated insights on the most important—and intriguing—AI news. Subscribe to our weekly Think newsletter. See the IBM Privacy Statement. Researchers have been bringing up new things in our Slack channel or via email and saying it could be relevant for our work. At IBM, we need to do differentiated work. We can’t be doing AI or
Sep 7, 2026 · via ibm.com
Michał Szczepanik, Ákos Nagy, and Emil Zak have detailed a new quantum algorithm for simulating the motion of molecules, published in Quantum Science and Technology. The method encodes rovibrational Hamiltonians, describing molecular motion, as a quantum circuit utilizing a Walsh-Hadamard quantum read-only memory construction. This approach combines exact kinetic energy operators with general potential energy surfaces, achieving exponential reductions in logical qubit count and gate complexity compared to existing techniques. Researchers report the quantum volume needed to simulate water’s rovibrational spectrum could be reduced by up to 10^5 times using this method. Walsh-Hadamard QROM Simulates High-Accuracy Nuclear Motion Researchers detailed the method in Quantum Science and Technology, outlining a technique that integrates exact curvilinear kinetic energy operators with general-form potential energy surfaces. This combination, expressed in a hybrid finite-basis/discrete-variable representation, allows for high-accuracy quantum phase estimation of molecular energy levels and dynamics simulations. Central to the approach is a quantum read-only memory construction based on the Walsh-Hadamard transform, encoding the Hamiltonian as a unitary quantum circuit. This encoding provides asymptotic reductions in both logical qubit count and T-gate complexity, improvements that are exponential in the number of atoms and at least polynomial in the total Hilbert-space size when contrasted with existing block-encoding techniques. and Ákos Nagy and Emil Zak of BEIT Canada Inc., demonstrated that the method offers exponential memory savings and polynomial reductions in time complexity compared with classical variational methods. For a classically intractable 12-atom molecular system, the algorithm achieves at least a 106× reduction in the quantum volume required, utilizing fewer than 300 logical qubits. The authors state that the Hamiltonian is encoded as a unitary quantum circuit, detailing how the Walsh-Hadamard QROM facilitates these gains in efficiency. These results suggest a pathway toward simulating increasingly complex molecular systems with greater accuracy on fault-tolerant quantum computers, potentially
Sep 7, 2026 · via quantumzeitgeist.com
EU Quantum Act policy expected by the end of this year. European policymakers, business personalities and investors gathered at the European Parliament last week for a high-level discussion about the next phase of the bloc’s quantum development. The panel touched on areas surrounding the development and sustenance of quantum technology in the bloc, with speakers noting that the region needs to translate its scientific expertise in the sector into industrial leadership that can be deployed across the single market. The event, called ‘Europe’s Quantum Moment: From Lab to Leadership’, was hosted by EU MEP Dr Sergey Lagodinsky, who, in agreement with other speakers, said that the bloc needs to understand how scale up and bring together scientists, engineers and start-ups to transform opportunities in the quantum sector into commercial capacity comparable to the US, which is already investing hundreds of millions in this type of technology. Between 2020 and 2025, the EU invested some €2bn in quantum technologies, complemented by around €9bn in additional funding from member states. In comparison, the US spent $2bn in federal incentives a few months ago to support two domestic quantum foundry companies and seven quantum computing companies, including IBM. The speakers at last week’s panel noted that Europe already has a strong base to build on, with research groups and companies active across areas including quantum computing, sensing, photonics, cryogenics and software. The bloc also has an established footing in this sector, with around 80pc of the components in quantum computers in Europe come from the bloc, a speaker said. The EU has a number of up and coming quantum businesses, including Ireland’s Equal1, which raised $60m in January, Switzerland-based Zuriq, which raised a seed funding round of $25.5m in July, and Finland’s IQM Quantum Computers, which, earlier this year, became the first European
Sep 7, 2026 · via siliconrepublic.com
NEC halted development of physical quantum computers at the end of March 2026. This was reported by Nikkei and Diamond Online in quick succession in September 2026 â it was not an announcement made by NEC itself. The company holds a unique place in this field: in 1999, Yasunobu Nakamura and colleagues at NEC's Fundamental Research Laboratories reported in Nature the first operational demonstration of a superconducting qubit in a solid-state device, laying the groundwork for what is now the dominant approach worldwide. The two news outlets attribute the decision, 27 years later, to the difficulty of recovering investment and to researchers leaving the company. But NEC itself, in a document submitted to a Cabinet Office meeting in December 2022, laid out in concrete numbers just how far it intended to go. Laid alongside what it actually achieved, the outline of this withdrawal becomes sharper than the summary in the news reports suggests. The end-of-March halt revealed by reporting, and the only explanation NEC has offered On September 5, 2026, Nikkei reported that NEC had halted development of physical quantum computers, and that the decision appeared to reflect a judgment that commercialization would take too long and that returns commensurate with the investment would be hard to achieve. This rationale is Nikkei's own inference, not something NEC stated itself. The day before, on September 4, Diamond Online reported â as an exclusive â both the end-of-March withdrawal and the fact that researchers who had worked on the development had moved to Fujitsu. When Diamond's editorial team asked NEC's public relations department to comment, the company declined to address the withdrawal directly â "we will refrain from commenting" â but added: "Regarding the use of quantum computers, we are advancing technical assessment toward practical application as well as efforts toward industrialization.
Sep 7, 2026 · via xenospectrum.com
The EU’s forthcoming Quantum Act will not come with a dedicated budget. “The act is not about budget,” said Thomas Skordas, deputy director-general of the European Commission’s DG CNECT, at a European Parliament event last week, on 3rd of September. “What the act will provide is the stimulus to make sure that we move in the right direction, that we bring people together.” The session, hosted by the European Quantum Flagship and German Green MEP Sergey Lagodinsky, brought together representatives from the Commission, Council and Parliament, along with researchers and quantum company founders. The Commission hopes to present the legislation by the end of 2026, although that timeline could slip into next year. The ambition behind it is significant. The EU has declared its aim to become the world’s quantum valley, and the act is intended to help make that happen. Skordas described the act as an enabling framework rather than a regulation. That distinction matters in Brussels, where recent technology policies such as the AI Act and the Digital Markets Act have largely focused on imposing rules and obligations rather than bringing different parts of an industry together. The clearest comment of the day concerned Europe’s quantum startups. “We cannot afford having 78 startups all on their own,” Skordas said. “We don’t have Microsoft, we don’t have Google, we don’t have IBM. We want competition, but at some stage, we expect a little bit of consolidation.” It is unusual for a Commission official to openly call for consolidation in an industry. But the comment also reflects a problem that has become increasingly difficult for Europe to ignore: its quantum efforts are spread across member states and different technology approaches, producing plenty of prototypes but fewer companies with the scale to build their own manufacturing capacity. Tommaso Calarco, secretary of
Sep 7, 2026 · via thenextweb.com
Zcash price surges past $1,200, market cap hits $20B amid strong institutional demand and ETF launch.
Zcash (ZEC) surged to an intraday high of $1,249, its highest since late 2016, marking a weekly gain of over 45% and lifting its market cap to $20.44 billion, making it the ninth-largest crypto asset. The rally is driven by institutional interest, in...
Sep 7, 2026 · via pluang.com
Building quantum computers from the qubit up At Nord Quantique, we’re building fault-tolerant quantum computers from the qubit up with the goal of making quantum computing practical at scale. We’re a Canadian company based in Sherbrooke, Québec, where we develop superconducting quantum computers that integrate quantum error correction directly into the hardware. Rather than accept that useful quantum computers will require millions of physical qubits, we’ve taken a different path by designing qubits that are intrinsically more resilient to errors through bosonic encoding. It fundamentally changes the economics and engineering of quantum computing by reducing the hardware overhead needed to build useful systems. We embed error correction directly into the hardware via superconducting bosonic codes to achieve a 1:1 logical-to-physical qubit ratio. The company recently advanced to Stage B of DARPA’s Quantum Benchmarking Initiative and reached unicorn status with a $1.4B valuation in our latest funding round. Reliable computations The biggest challenge in quantum computing isn’t creating qubits—it's performing reliable computations with them. Quantum information is extraordinarily fragile: Every operation, measurement, or interaction with the environment introduces errors that quickly accumulate. Quantum error correction is essential, because it allows errors to be detected and corrected while computations are running. Most approaches achieve this by encoding a single logical qubit across many physical qubits so that individual errors can be identified and corrected. While effective in principle, this strategy comes at a significant cost: It requires vast hardware resources and substantially increases the number of operations needed to perform a logical computation, slowing the effective clock speed of the processor. This combination of hardware overhead and reduced computational throughput is one of the biggest obstacles to building practical, large-scale quantum computers. Bosonic qubits Our approach starts with a different kind of quantum hardware. Instead of engineering devices that behave as simple
Sep 7, 2026 · via laserfocusworld.com
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.
Sep 7, 2026 · via telecompaper.com
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Sep 7, 2026 · via moomoo.com
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
Sep 7, 2026 · 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
Sep 7, 2026 · 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
Sep 7, 2026 · 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