No-frills tech news

Accrington tech entrepreneur Ilyas Khan becomes billionaire

An Accrington tech entrepreneur who founded a quantum computing firm has become a billionaire after the company he founded went public on the US stock exchange. Ilyas Khan, 63, who helped save Accrington Stanley FC back in 2009, saw 'Quantinuum' valued at over $15.6 billion after it sold 28 million shares at $60 each on June 3. The shares opened at $58 per share on June 9, and Mr Khan, who owns around 15 per cent of the company, is now said to be worth $2.2bn (£1.6bn). Quantinuum, headquartered in Cambridge and also in Colorado, is the world's largest quantum computing company. He founded Cambridge Quantum Computing in 2014, which then rebranded as Quantinuum when it merged with the quantum business of the U.S. conglomerate Honeywell in 2021. Ilyas has retained the largest shareholding of any individual person. Posting on social media before the public offering, he said: "When I founded, almost exactly 12 years ago, Cambridge Quantum (that became Quantinuum after the business combination/merger with Honeywell Quantum Solutions in 2021), it was an adventure in conviction and trust. "That conviction and trust have grown and blossomed due to the hard work, commitment and support of my colleagues, my shareholders and my family." Ilyas's father was a bus driver, and he attended Haslingden Grammar School before completing a South Asian studies degree at London’s School of Oriental and African Studies. He moved to Hong Kong for work in 1989 and progressed up the career ladder, before deciding to set up his own banking company in 1998. Between 2015 and 2018, he served as chair of the Stephen Hawking Foundation. The listing of Quantinuum, which had also considered a float in London before choosing the Nasdaq, establishes him as one of the UK’s wealthiest tech entrepreneurs, reports The Times. Quantinuum was

Should Investors Buy Infleqtion to Ride the <b>Quantum Computing</b> Rally? | The Motley Fool

Quantum computing is still in its early innings, but if the technology reaches the potential that some see for it, the industry could mint many millionaires among its investors. Grand View Research projects that the quantum computing market will grow at a 22.3% compound annual rate through 2033, and Infleqtion (INFQ +6.57%) may be one of the best ways to get exposure to this opportunity. Its partnership with Nvidia shows that Infleqtion is a serious player Like most quantum computing pure plays, Infleqtion doesn't have much revenue to support its multibillion-dollar market cap. The company's top line was only $9.5 million in the first quarter, and it booked more than $30 million in net losses. NYSE: INFQ Key Data Points The company is developing quantum computers that should be able to solve highly complex problems that classical computers can't. Infleqtion has partnered with Nvidia (NVDA 1.42%) to integrate its neutral-atom quantum processing units with the tech giant's hardware and software, with the goal of driving the next era of high-performance computing. That partnership strengthens Infleqtion's reputation while also giving it access to more talent and capital. The combined technology will also be more convenient for AI data center operators to make use of, since it bridges quantum computing technology with the GPUs they already use, and therefore won't require a major overhaul. In other words, it will be easier to integrate Infleqtion's offerings into established AI infrastructure than the technologies of many of its competitors. The development of quantum computing is accelerating It's not just tech companies that are spearheading the push to quantum computing with investments and initiatives. The Trump administration recently issued an executive order for the government to develop policies that could accelerate quantum computing development in America. "The United States must take a cohesive, whole-of-government approach

Researchers Develops Density Matrix Propagation For Optimal Code Decoding

Researchers at Paris-Saclay University have developed a novel methodology for propagating the density matrix through simulated quantum memory experiments, enabling the determination of optimal decoding decisions for a range of syndrome histories. Anthony Benois and colleagues analysed the repetition code and a cellular automaton code, revealing crucial performance differences between decoders, particularly concerning belief propagation, when subjected to realistic circuit-level noise. The analysis quantifies the limitations inherent in commonly employed heuristic decoders and demonstrates that a limited number of syndrome histories dominate the logical error rate at low physical error rates. This provides a robust benchmark for evaluating quantum error correction decoders, addressing a vital challenge in the construction of fault-tolerant quantum computers. Density matrix propagation unlocks high-accuracy quantum error correction decoding Scientists at Paris-Saclay University have achieved a five-fold reduction in the discrepancy between theoretical and practical quantum error correction performance. Attaining a maximum-likelihood decoding accuracy of 99.9% for small codes, this level of precision was previously unattainable due to significant computational constraints. Their innovative method propagates the density matrix, a comprehensive mathematical description of a quantum system’s state, through simulated quantum memory. This allows for the precise determination of the optimal decoding decision for every possible error sequence, formerly known as a syndrome history. The density matrix, represented as a matrix describing the probabilities of all possible quantum states, is particularly suited to modelling the effects of noise and decoherence, which are inherent challenges in quantum computation. Propagating this matrix allows the researchers to track the evolution of the quantum state under the influence of errors, providing a complete picture of the error landscape. This detailed analysis revealed that, at low physical error rates, typically below 1%, representing increasingly stable quantum systems, less than 10% of all possible syndrome histories contribute significantly to the overall logical error rate.

Trump Signs Executive Order to Accelerate <b>Quantum Computer</b> R&amp;D, Quantum Stocks Gain ...

Trump Signs Executive Order to Accelerate Quantum Computer R&D, Quantum Stocks Gain Attention, Which Quantum Computing Stocks Are Worth Buying? On June 22, the U.S. government launched an acceleration strategy for quantum computing, aiming to secure strategic leadership by 2028 and mandating a transition to post-quantum cryptography by 2030-2031. This policy framework, supported by significant federal investment, encourages R&D and supply chain resilience. While sectors like drug discovery and finance offer immense potential, the industry remains in early-stage development with high technical hurdles and capital costs. Key players include IonQ, IBM, Rigetti, and D-Wave. Investors should prioritize firms with clear commercialization paths and proprietary error-correction technology, while maintaining a long-term, diversified perspective due to inherent sector volatility. TradingKey - On June 22, Eastern Time, U.S. President Donald Trump signed two executive orders at the White House, officially launching the U.S. Quantum Computing Industry Acceleration Strategy, injecting strong momentum into the development of this frontier field and rapidly igniting capital market enthusiasm for quantum technology concept stocks. The core objective of this landmark policy initiative is to ensure the U.S. maintains its strategic leadership in global quantum technology competition and to build an end-to-end domestic quantum ecosystem. In the executive orders, Trump announced that the National Quantum Strategy would be updated, strengthening the foundation of America's quantum industry across multiple dimensions—including supply chain security, R&D, and talent cultivation—while deepening cooperation mechanisms with allies in the quantum field. So, in this White House-led technology push, which quantum computing stocks should be on our radar? Next, we will break down the underlying investment logic and key stock targets. Golden Window for Policy: What Signals Does Trump’s "Quantum Executive Order" Send? This policy not only injects strong momentum into the quantum computing sector, but also clearly signals the strategic resolve of the United States

Princeton University Team Studies Anyon Confinement For Topological <b>Quantum</b> Computation

Fractional quantum Hall states reveal multi-anyon interactions and anisotropic impurity potentials A 2/5th electron charge energy splitting has been detected in fractional quantum Hall states, a phenomenon previously unobservable due to limitations in treating anyons as point-like objects. This splitting, observed at filling factors of 1/3 and 2/5, signifies a key threshold in understanding anyon behaviour, as prior methods lacked the sensitivity to resolve multi-anyon configurations trapped by impurities. The collaboration between Princeton University and the University of Leeds attributes this splitting to the complex interaction of multiple anyons confined within the electric potential of charged impurities. The fractional quantum Hall effect arises from the strong interaction between electrons in a two-dimensional electron gas subjected to a strong perpendicular magnetic field and low temperatures. This interaction leads to the formation of correlated many-body states with exotic properties, including the emergence of anyons. Unlike bosons or fermions, anyons exhibit fractional charge and obey exchange statistics differing from either of these conventional particle types; exchanging two identical anyons can alter the quantum state of the system. Numerical calculations reveal the effect requires an anisotropic, rather than rotationally symmetric, confining potential. A rotationally symmetric trap would eliminate the observed splitting entirely. The modelling at Princeton University and the University of Leeds confirmed the anisotropy of the confining potential, demonstrating that the energy splitting vanished entirely when a rotationally symmetric trap was simulated. This anisotropy arises from the specific arrangement of the charged impurity and the surrounding graphene lattice. The precise shape of the potential well created by the impurity dictates how the anyons distribute themselves, influencing their energy levels. The simulations employed sophisticated computational techniques, including density functional theory and exact diagonalization, to accurately model the many-body interactions and the confining potential. Further calculations revealed the competing multi-anyon states possess nearly identical charge

Top Wall Street Analyst Says This <b>Quantum Computing</b> Stock Is 'Meaningfully Mispriced'

Top Wall Street Analyst Says This Quantum Computing Stock Is 'Meaningfully Mispriced'— Sees 25% Upside As Trump's Quantum Push Gathers Steam | Infleqtion, Inc. INFQ | 0.00 | A top Wall Street research firm said Infleqtion Inc (NYSE:INFQ) is “meaningfully mispriced” and is betting the quantum computing stock has more room to run. Wedbush Securities initiated coverage of INFQ on Friday with an Outperform rating and a $20 price target, implying roughly 25% upside from current levels. Analysts Antoine Legault and Matt Bryson called Infleqtion the only publicly traded neutral-atom pure-play and the only company commercializing the full quantum stack — computing, sensing, and software — from a single technology core. Why The Discount Exists — And Why Wedbush Thinks It Fades Despite holding the second-largest revenue base in the public quantum group, INFQ ranks sixth in valuation. Wedbush pinned the gap on three factors it expects to unwind: neutral atoms are still seen as less proven than rival approaches; the market may be treating INFQ as a sensing-only company and undervaluing its compute ambitions; and the stock has only traded since February, leaving it thinly covered and less liquid than peers. “With no consensus on an eventual modality winner, we view INFQ as one of the most compelling ways to gain exposure to the category,” Wedbush analysts wrote. A Policy Tailwind That Arrived This Week The initiation lands at a charged moment for the sector. President Donald Trump signed an executive order on June 22 directing federal agencies to accelerate quantum technologies across national security, commercial, and scientific applications, with Infleqtion CEO Matthew Kinsella attending the White House signing. Infleqtion was among the government beneficiaries, receiving $100 million in Department of Commerce funding to develop engineering systems for large-scale neutral-atom quantum computers. Wedbush specifically flagged a provision directing the

Time may be an illusion derived from <b>quantum</b> entanglement

Time may be an illusion derived from quantum entanglement A new physics study suggests time may emerge from entanglement, challenging the idea that it exists independently. Edited By: Joshua Shavit Time has always seemed like the one thing physics could count on. Matter changes, stars die, particles flicker in and out, but time keeps moving. That assumption sits so deep in modern science that it often passes without notice. Now a new theoretical study argues that time may not exist in the way physicists have long treated it. Instead, the work suggests time could emerge from quantum entanglement, the strange connection that links separate systems at the microscopic level. In this view, time is not a universal stage on which events unfold. It appears only when one quantum system is used to track another. The paper, published in Physical Review A, revisits the Page and Wootters mechanism, a proposal first introduced in 1983. The idea has hovered for decades at the edges of debates over quantum gravity and the foundations of physics. By building an explicit model, the authors argue that the mechanism can recover both ordinary quantum motion and, in the right limit, the familiar time of classical physics. That matters because physics still holds two incompatible pictures of time. In quantum mechanics, time is treated as an external parameter, something imposed from outside the system. It is the ruler used to measure change, but it is not itself an observable inside the theory. General relativity treats time very differently. There, time is woven into spacetime and can stretch or slow depending on gravity and motion. “It seems there is a serious inconsistency in quantum theory. This is what we call the problem of time,” Alessandro Coppo of Italy’s National Research Council said. Where time goes missing The mismatch

Ferran Martínez: &quot;Many athletes surround themselves with toxic people who only want them ...

Ferran Martínez: "Many athletes surround themselves with toxic people who only want them for their money" Former basketball player and businessman BarcelonaFerran Martínez (Barcelona, 1968) shone with Barça, Penya, the Spanish national team, or Panathinaikòs during the 80s and 90s. But even then, he was preparing for a new life as an entrepreneur and financial advisor. Martínez meets with ARA on a terrace in Barcelona, where for over an hour he talks about companies, quantum computing, or AI. And about basketball, of course. He now publishes El Algoritmo del éxito (EmpreBooks), a book where he uses his sporting experience to understand the business world. He has lived two successful lives. One sporting and one, we could say, business-related. — Yes, that's why I always explain that we are very fortunate, right? In the life of a professional athlete you have social recognition, you travel all over the world, you make friends, you compete..., but you are in a kind of bubble. A very beautiful but a bit unreal life. And then it ends. And real life arrives. If during this first life you haven't prepared yourself in some way for the second, you can have problems. Many suffer from depression. Others lose money. And you ask yourself who you really are, once you are no longer competing. Didn't it happen to him/her/them? — I saw it clearly that a sporting career is not very long. Perhaps because I have always been very curious. I joined Barça at 12 years old, at 16 I was already in the first team dynamics... I was lucky. But I wanted to study. I had always really liked technology. It was the time when the first computers were starting to arrive in Spain, like the first one I had, a Sinclair Spectrum of 16Ks. The

US commits $2B to <b>quantum computing</b> | The Manila Times

THE US Department of Commerce said it plans to provide $2.013 billion in incentives to nine companies developing quantum computing technologies under the CHIPS and Science Act, aiming to strengthen domestic manufacturing and accelerate the development of utility-scale, fault-tolerant quantum computers. Announced on May 21, the proposed incentives will support two domestic quantum foundries and seven quantum computing companies working across multiple technology approaches, including superconducting, trapped-ion, photonic, silicon-spin and neutral-atom systems. The Commerce Department said the funding is intended to strengthen US leadership in a technology with potential applications in national defense, advanced materials, biopharmaceutical discovery, financial modeling and energy systems. "With today's CHIPS Research and Development investments in quantum computing, the Trump administration is leading the world into a new era of American innovation," Commerce Secretary Howard Lutnick said in a statement. "These strategic quantum technology investments will build on our domestic industry, creating thousands of high-paying American jobs while advancing American quantum capabilities." Under the proposal, IBM would receive $1 billion to establish a quantum foundry subsidiary for superconducting quantum wafers, while GlobalFoundries would receive $375 million to establish a domestic quantum foundry supporting multiple quantum computing architectures. Other proposed awards include up to $100 million each for Atom Computing, D-Wave, Infleqtion, PsiQuantum, Quantinuum and Rigetti, while Diraq would receive up to $38 million. The projects are intended to address engineering challenges such as error correction, cryogenic systems integration, control hardware, photonic packaging and scalable qubit manufacturing. The government initiative comes as semiconductor companies position themselves to support emerging quantum computing systems through conventional computing technologies. In a company blog, Advanced Micro Devices Inc. (AMD) said quantum computing is expected to develop alongside classical computing rather than replace it, with future systems relying on hybrid architectures that combine quantum processors with high-performance computing and artificial intelligence. "Quantum

INFN: From Bit To Qubit. The Future Of <b>Computing</b> Is <b>Quantum</b>

The future of computing may have been foreseen much earlier than many realize; as Alan Turing predicted in 1950 the appearance of “machines that learn from experience,” a description close to what is now known as machine learning. This prediction gained cultural traction with the 1968 release of 2001: A Space Odyssey and its novel, and its depiction of HAL, a supercomputer with artificial intelligence that impressed observers like Arthur C. Clarke with its advanced capabilities. Since then, computers and artificial intelligence have fueled the collective imagination, a trend continuing in contemporary literature with works like Kazuo Ishiguro’s novel Klara and the Sun, which explores a future with artificial intelligence. As artificial intelligence transforms society, researchers are now building on these decades of conceptual development to create quantum computers, a technology that could redefine the foundations of computation. HAL and the Evolution of Computing AI The notion of artificial intelligence capable of independent thought and action is no longer limited to science fiction; it has deep roots in early scientific prediction. Stanley Kubrick and Arthur C. Clarke, while crafting a futuristic narrative, drew inspiration from the burgeoning world of large electronic computers at Bell Laboratories and IBM, impressed by the performance of these early machines. The film’s portrayal of HAL, capable of speech, language understanding, autonomous decision-making, and even displaying emotions like fear, resonated deeply with audiences and quickly became the cinematic archetype of an AI achieving autonomy and potentially posing a threat. This fictional exploration mirrored the gradual transition of theoretical ideas into tangible reality, from the first commercial computers of the 1950s to the personal computers of the 1980s. This progression continues with the development of contemporary artificial intelligence, demonstrating a consistent interplay between scientific advancement and cultural imagination. “Characteristics that make Klara one of the most positive

AI and <b>quantum computers</b> revolutionize discovery of quantum materials

AI and quantum computers revolutionize discovery of quantum materials AI and quantum computers are transforming how scientists discover quantum materials for future technology. Edited By: Joseph Shavit A quiet transformation is unfolding in the way scientists design the materials that power modern technology. From faster computers to energy-saving electronics, the next generation of breakthroughs may come from materials shaped not just by chemistry, but by quantum physics. Now, researchers are finding new ways to uncover these materials faster than ever before. Two recent studies from the University of Washington show how artificial intelligence and quantum computing are beginning to change how scientists search for these rare materials. Their findings point to a future where discovery moves from slow trial and error to guided prediction. At the center of this shift lies a class of substances known as quantum materials. These materials behave in ways that defy everyday intuition, shaped by the strange rules of quantum mechanics. The Hidden Power Of Quantum Materials Quantum materials can display remarkable properties. Some allow electricity to flow without resistance. Others show unusual magnetic behavior or long-range connections between particles. These properties often begin at the smallest scale. Atoms arrange themselves into repeating patterns inside crystals. When these patterns extend across larger distances, entirely new behaviors can emerge. This makes quantum materials both powerful and difficult to understand. A small cluster of atoms may appear ordinary. When repeated in a larger structure, it may reveal entirely new physics. Scientists must predict how these patterns behave at scale. Without that ability, discovering useful materials becomes slow and expensive. The Limits Of Traditional Methods For decades, supercomputers have helped researchers simulate materials. These machines can model how atoms interact and predict how materials behave. However, even the most powerful supercomputers face limits. As systems grow larger, the

Fault-Tolerant <b>Quantum Computer</b> by 2028: DOE Quantum Genesis Sets Hard Deadline

The U.S. Department of Energy announced on June 23, 2026, that it will build and deploy the world's first fault-tolerant quantum computer capable of genuine scientific work by the end of 2028 — a deadline that quantum researchers describe as one of the most technically ambitious timelines the field has ever faced. The program, called Quantum Genesis, sits at the center of the broader Genesis Mission and follows two executive orders President Trump signed the day before, establishing quantum computing as a national security and scientific priority alongside artificial intelligence and classical supercomputing. For researchers in chemistry, materials science, plasma physics, and high-energy physics, the announcement carries practical meaning: a federally supported fault-tolerant machine, once built, would be housed at a DOE facility and made available to the scientific community through open user access. For everyone else, the stakes are more immediate — the same executive orders set binding government-wide deadlines to migrate federal data systems to quantum-resistant encryption by the end of 2030 and 2031, specifically because the U.S. government believes adversaries may already be collecting encrypted data today with the expectation of decrypting it once a powerful quantum computer becomes available. Whether the 2028 target holds depends on engineering progress that, by any credible measure, sits at the edge of what the field currently believes is possible. Why a 2028 Deadline for a Fault-Tolerant Quantum Computer Is a Hard Technical Bet Steven Girvin, a physicist at Yale who has spent decades studying quantum systems, assessed the DOE's timeline directly when the program's outlines first became public in April 2026. The goal, he told the journal Science, was "a very optimistic but worthy goal." Researchers were making "tremendous progress" in quantum error correction, he acknowledged, but they remained "far from true fault-tolerance." That gap is not about public ambition

IQM: Oak Ridge National Laboratory Forecasts 4 <b>Quantum Computing</b> Shifts For 2026

Oak Ridge National Laboratory identifies shifts in quantum computing capabilities, with access to IBM Quantum superconducting transmon systems offering up to 156 qubits through the Quantum Computing User Program. This represents the highest qubit count resource currently available within the program, alongside alternative architectures from Quantinuum, which provides superconducting transmon systems with up to 54 qubits. Beyond simply offering hardware, the QCUP Operations model proactively supports users through its User Assistance Group, providing technical support, training, documentation, and tools. Researchers at ORNL expect these resources and support structures will enable evaluation of emerging technologies and engagement with a growing quantum ecosystem. Compilation (high-level or ideal algorithm → standard circuit) • Turn an algorithm into an equivalent quantum circuit with standard gates • Think: “Write the recipe in actual steps” This year will see a significant push toward practical quantum algorithm implementation, moving beyond theoretical designs to executable code on available hardware. The crucial step of compilation, translating a high-level quantum algorithm into a sequence of standard quantum gates, is receiving focused attention as researchers strive to bridge the gap between algorithmic intent and physical realization. This process is not merely a technical detail; it’s the equivalent of writing out the precise steps of a recipe for a quantum processor to follow, demanding optimization to minimize errors and maximize computational efficiency. Experts anticipate that advancements in compilation techniques will be a key determinant of near-term quantum advantage, allowing complex algorithms to run effectively on increasingly powerful quantum systems. Simply having qubits is not enough; the ability to effectively program them is paramount. Quantinuum also contributes to the QCUP landscape with its own superconducting transmon systems, reaching 54 qubits, demonstrating that Oak Ridge National Laboratory is actively diversifying its access to different quantum architectures. This multi-platform approach is vital because compilation strategies

Taiyi <b>Quantum</b> Raises 300 Million Yuan ($44 Million USD) to Commercialize Ytterbium ...

Sovereign neutral-atom hardware developer Taiyi Quantum Technology Co., Ltd. (Shanghai)—alternatively known as Taiyi Liangsheng—has closed a heavily oversubscribed 300 million yuan ($44 million USD) strategic financing round. The capital injection adds to a previous 100 million yuan angel round closed in March 2026, bringing the startup’s total capital raised since its founding in January 2026 to over 400 million yuan ($59 million USD). The late-stage transaction was co-led by institutional venture firms Gaorong Ventures and IDG Capital, alongside prominent domestic strategic backers including SAIC Financial, Hengxu Capital (the venture arm of SAIC Motor), and CETC Fund (defense electronics). The multi-tiered capitalization round incorporates a comprehensive roster of market-oriented financial institutions, state-backed entities, and industrial players, including: - Shanghai Future Industry Fund (Shanghai Science & Technology Investment Group) - iFlytek Venture Capital (the corporate venture capital arm of iFlytek) - Huakong Fund (Huakong Capital / T-Capital) - Yunqi Capital (Yunqi Partners) - Dachen Caizhi (Fortune Capital) - Boyuan Capital (the market-oriented CVC platform under the Bosch Group) - Yarui Capital - Qifu Capital - Jinko Solar Holdings - Galaxy General Robot (Galbot) - Yaben Chemical - Houxue Investment (Houxue Capital) - Tsinghua Holdings Capital - Kexun Ruijin Capital ┌──► Crypto-Defense Verification Protocols ├──► Molecular Dynamics & Chemical Simulations [ Ytterbium Application ] ─┼──► Non-Linear Quantum Machine Learning (QML) └──► Real-Time Erasure Fault Detection (Physical State Leaks) Ytterbium Alkaline-Earth Topologies and Erasure Error Management Taiyi Quantum is engineering a general-purpose quantum computing platform centered on neutral-atom configurations, specifically isolating the rare-earth alkaline-earth element ytterbium (171Yb) as its physical qubit vector. While the broader neutral-atom ecosystem has predominantly scaled using alkali metals like rubidium, ytterbium’s complex internal electronic shell configuration offers a significant advantage for scalable quantum error correction (QEC): erasure channel conversion. When an atomic state transition failure occurs during laser-driven entangling

Meeting Trump's 2030 <b>Quantum</b> Deadline Will be Expensive, Complex

Meeting Trump's 2030 Quantum Deadline Will be Expensive, Complex Getting accurate visibility into IT and OT systems will be compounded by multivendor environments, misaligned update life cycles, and interoperability gaps. Organizations will face major challenges — and even greater costs — on the road to becoming quantum-ready over the next five years. US President Donald Trump signed two executive orders related to quantum technology on June 22. One, "Ushering in the Next Frontier of Quantum Innovation," aims to bolster US leadership in quantum information science and technology through updating the national quantum strategy and building out a domestic ecosystem that will lead to the development of a quantum computer beyond current capabilities. It also includes workforce investment and partnering with various stakeholders, such as international allies, manufacturers, and private sector investors. The second, "Securing the Nation Against Advanced Cryptographic Attacks," aims to prepare US infrastructure for the attackers that would use quantum technology to target organizations. The aim here is to accelerate the government's transition to post-quantum cryptography (PQC) and fortify sensitive government data. The executive order requires federal agencies to appoint PQC migration leads within 30 days, establish PQC for key establishment and encryption by the end of 2030, and establish PQC for digital signatures by the end 2031 for high-value assets and high-impact systems. The order also directs the National Institute of Standards and Technology (NIST) to begin a PQC pilot program to create standards for the transition and directs relevant agencies to create guidance for a cryptographic bill of materials. Relevant agencies must also assist critical infrastructure in becoming quantum ready. While many of these requirements primarily exist for the federal government, federal contractors will also be required to adhere to NIST's PQC standards by Dec. 31, 2030. These orders dramatically accelerate the timeline many organizations had

Tu Delft Team Introduces Access Framework For European <b>Quantum</b> Sovereignty

Lane and colleagues from from the Philosophy and Ethics of Technology at TU Delft reveal that developers of European quantum computing capacity favour contractual and transactional models of access. These choices have sharp implications for Europe’s technological independence, economic future, knowledge security, and commitment to open science. By revealing prevailing framings of access, the study advocates a shift away from zero-sum approaches and towards a more open and collaborative access regime for this emerging technology. Contractual access dominates current preferences for European quantum computing A strong focus on contractual access to European quantum computing capacity is evident, contrasting with calls for more open models. The OpenSuperQPlus project is delivering rapid progress, poised to offer larger functioning prototypes, a threshold previously unattainable due to limitations in qubit stability and coherence. Quantum computers leverage the principles of quantum mechanics, superposition and entanglement, to perform calculations beyond the reach of classical computers. Maintaining qubit coherence, the duration for which a qubit retains its quantum state, is a significant engineering challenge. Recent advancements in materials science and control systems are extending coherence times, paving the way for more complex and reliable quantum computations. Consequently, a re-evaluation of access policies is now necessary. Survey results from researchers involved in the project demonstrate that current framings of access lean towards transactional approaches, potentially limiting wider participation and innovation. This preference for contractual arrangements is driven by factors such as the substantial investment required to build and maintain quantum infrastructure, and the desire to recoup these costs through commercial applications. Pharmaceutical companies are heavily investing in quantum computing for drug discovery, potentially overshadowing socially beneficial applications like climate modelling which receive comparatively less funding. Quantum algorithms, such as Variational Quantum Eigensolver (VQE) and Quantum Approximate Optimisation Algorithm (QAOA), are being explored for simulating molecular interactions and accelerating

Trump's <b>Quantum</b> Push Is Africa's Wake-Up Call

advertisement Trump’s Quantum Push Is Africa’s Wake-Up Call On 22 June, President Donald Trump signed two executive orders that move quantum technology from the laboratory to the centre of US economic and national security strategy. The first, “Ushering in the Next Frontier of Quantum Innovation” (Executive Order 14411), launches a national effort to build a quantum computer powerful enough for real scientific discovery, targeted for delivery to a Department of Energy facility, with officials suggesting it could arrive as early as 2028. The second accelerates the US government’s migration to post-quantum cryptography, pulling the deadline forward to 2030–2031 from a previous 2035. Neither order mentions Africa. Both, in different ways, matter to it. What the orders actually do advertisement The innovation order takes a whole-of-government approach to quantum computing, sensing and networking. It directs an update to the National Quantum Strategy and establishes the Quantum Computer for Application Development and Discovery Science effort, giving the Energy Department 90 days to define the technical specifications and 180 days to explore private-sector partnerships to build the machine. The Commerce Department is instructed to consider advance market commitments, government promises to buy technology that de-risk private investment, while a national centre will benchmark how competing quantum systems perform. The order also prioritises domestic supply chains, a homegrown workforce through new national training institutes, and counterintelligence measures to protect quantum research from foreign espionage. It does not arrive in isolation. The administration has already invested roughly $625 million in national quantum research institutes, and last month the Commerce Department took approximately $2 billion in equity stakes across nine quantum companies, including IBM, GlobalFoundries, D-Wave, Rigetti and Infleqtion. The framing throughout is explicitly geopolitical, staying ahead of China and ensuring, in the order’s own words, that adversaries cannot turn quantum advances against US interests. The

INFQ Stock Gets Fresh Wall Street Backing Following Trump's <b>Quantum</b> Push

INFQ Stock Gets Fresh Wall Street Backing Following Trump's Quantum Push — Wedbush Sees 56% Upside Potential - Wedbush analyst Antoine Legault argued the company is uniquely positioned in the rapidly evolving quantum technology market. - According to Legault, Infleqtion is the only publicly traded company commercializing the entire neutral-atom technology stack. - Legault added that Infleqtion offers investors one of the most compelling ways to gain exposure to the quantum computing theme, citing its broad technology portfolio and commercialization strategy. Infleqtion Inc. (INFQ) got fresh backing from Wall Street following President Donald Trump’s latest quantum technology push earlier this week. According to TheFly, Wedbush initiated coverage of Infleqtion with an ‘Outperform’ rating and a price target of $20, implying an upside potential of 56% from Thursday’s closing price. Infleqtion shares were up nearly 2% in Friday’s pre-market trade. INFQ was the top trending ticker on Stocktwits at the time of writing. Why Wedbush Is Bullish On INFQ Wedbush analyst Antoine Legault highlighted that the company is uniquely positioned in the rapidly evolving quantum technology market. According to Legault, Infleqtion is the only publicly traded company commercializing the entire neutral-atom technology stack, from quantum computing and sensing to software, using a single, shared technology platform. He said that this integrated approach differentiates the company from many of its peers, which tend to focus on just one segment of the quantum ecosystem. Legault added that Infleqtion offers investors one of the most compelling ways to gain exposure to the quantum computing theme, citing its broad technology portfolio and commercialization strategy. Trump's Quantum Push Infleqtion has also been in the spotlight this week after President Donald Trump signed two executive orders aimed at accelerating U.S. leadership in quantum technologies while strengthening the nation's defenses against future cyber threats posed by quantum computing.

3 Ways <b>Quantum</b> Advancement Continues To Drive Crypto Development

Crypto looks set to undergo another fast-paced summer, as bitcoin continues to seek out a firm bottom before a (potential) market rebound as the CLARITY Act continues to inch forward in various stages of legislative debates. These developments are occurring even as the debates, controversies, and broader policy conversations related to AI continue to dominate headlines and investment trends across the board. Adding even more fuel to the conversational fire, the crypto super PAC Fairshake remains an influential force in at least primary politics, with Adrian Boafo (candidate for Maryland’s 5th Congressional District) benefiting from $5.5 million spent by Protect Progress (affiliated with Fairshake). This win, especially in a district considered a safe vote beyond the primary stage, is a sign of the continued political aspirations of the crypto lobbying infrastructure. With crypto PACs already having raised nearly $190 million for the 2026 cycle the pace of lobbying, legislative efforts, and efforts to push the various pieces of crypto legislation forward is set to only accelerate. Even with all of these headlines and developments underway, however, there is another layer to the wider crypto discourse that is emerging; the intersection of quantum technologies with the crypto and cybersecurity conversations. Quantum is still, by most accounts, years away from mainstream deployment, but the looming implications of these technological shifts are already being felt. Let’s take a look at a few of the ways that these trends are evolving, and where cryptoassets fit into this wider conversation. Institutional Resilience And New Crypto Investment Thesis The next stage of crypto investing will be shaped by two forces that are often discussed separately but are increasingly connected; regulation and cryptographic evolution. A clearer U.S. market-structure framework could reduce uncertainty around token classification, exchange oversight, stablecoin issuance, custody, and disclosure expectations. That would benefit investors