- SEALSQ Corp (NASDAQ: LAES) ("SEALSQ" or the "Company"), a global leader in semiconductor, PKI and post-quantum technologies, today highlighted the investment and commercialization strategy behind SEALQUANTUM, its initiative to build a Sovereign Quantum Vertical Stack (the "Stack") connecting complementary technologies across the emerging quantum economy. SEALSQ believes the quantum industry is entering a decisive new phase. After years of substantial investment in quantum research, processors, semiconductors, photonics, communications and cybersecurity, the industry's next phase is increasingly about industrialization, integration and monetization. SEALQUANTUM has been designed around this opportunity. Rather than viewing quantum companies exclusively as standalone entities, SEALSQ intends to build an interconnected industrial ecosystem in which investments and strategic partnerships can combine together on technology integration, commercial agreements, customers and revenues across the Stack. A central component of this strategy is SEALSQ's direct investment in pure-play quantum computing companies, including: - Quobly: an investment of €15 million (approximately $17.5 million) - EeroQ: an investment of $7.0 million Together, these represent approximately $24.5 million of strategic exposure to two differentiated pure-play quantum computing architectures, based on SEALSQ's current investment values. This pure-play quantum exposure sits within SEALSQ's broader SEALQUANTUM Sovereign Vertical Stack, for which SEALSQ has announced a target allocation of its own capital of $200 million with the goal of accelerating the development of a fully-integrated Quantum Vertical Sovereign Stack across quantum and post-quantum technologies. Two Quantum Computing Architectures, One Vertical Strategy SEALSQ's investments in Quobly and EeroQ provide strategic exposure to two different approaches to building scalable quantum computers. Quobly, based in France, is developing silicon-based quantum processors using spin qubits and semiconductor technologies. SEALSQ participated as a lead investor in Quobly's €115 million Series A financing, with an investment agreement providing for an aggregate investment of €15 million (approximately $17.5 million), which closed June 2, 2026.
Aug 31, 2026 · via investingnews.com
Diraq to deploy quantum computer in Equinix Sydney data centre The news: Quantum computing firm Diraq will deploy a silicon-chip based quantum computer in an Equinix data centre in Sydney, with installation expected to be completed in October 2026. The context: The deployment is being touted as âAustraliaâs first quantum computer to operate inside a commercial data centre, and the worldâs first silicon spin quantum computer to run in a shared commercial facilityâ by Diraq. Diraq will use the deployment to test how its quantum system operates in a data centre with open network connectivity including remote monitoring as well as integration with CPUs and GPUs. Diraq will also offer industry partners and customers the chance to explore potential applications for the technology. What they said: âThe data centre is where quantum computing goes mainstream, and that shift starts now. Itâs a first, and the milestone is in the simplicity itself. Diraqâs quantum computers integrate into operational data centres like any other rack,â Diraq founder and CEO Andrew Dzurak said. Equinix Australia managing director Jarrod Nink said: âQuantum computingâs future depends not only on breakthroughs in hardware, but on proving how these systems can operate within the digital infrastructure enterprises rely on every dayâ. âOur collaboration with Diraq will demonstrate how quantum computing can be securely deployed alongside AI, cloud and high-performance computing environments.â The source: Diraq media release
Aug 31, 2026 · via capitalbrief.com
KMT Technologies Ltd., a Matrix Group company, will act as the exclusive representative and distributor for Anyon Systems across a number of strategic international markets, beginning August 31, 2026. This partnership unites Anyon’s vertically integrated quantum computing technology, spanning processors, cryogenics, software, and more, with Matrix Group’s expertise in high-performance computing and data centers. Alireza Najafi-Yazdi, Founder and CEO of Anyon Systems, explains, “We believe the future quantum computer will operate as an accelerator within a heterogeneous computing environment, alongside CPUs and GPUs.” The companies aim to address growing demand for quantum computing integration within existing infrastructure for governments, research institutions, and enterprises. Anyon and Matrix Group Partnership Accelerates Quantum Computing Deployment Anyon Systems has already successfully deployed superconducting quantum computers within Canada, including the MonarQ system integrated into Calcul Québec’s high-performance computing ecosystem. This established foundation now underpins the company’s development of a 72-qubit quantum computer, with plans to exceed 100 physical qubits in subsequent systems. The partnership with Matrix Group aims to extend this deployment capability internationally, addressing a growing need for on-premises quantum infrastructure. Anyon will provide training and certification for KMT personnel, ensuring a consistent level of advanced engineering and product support globally. This commitment to a complete delivery capability distinguishes the partnership from standard technology distribution agreements, reflecting a focus on long-term operational support for clients. Yossi Vardi, Chief Business Officer of Anyon Systems, said that customers increasingly want quantum computing to become part of their strategic computing infrastructure, deployed on premises, integrated with HPC and AI resources, and supported locally. Anyon’s fourth-generation quantum control electronics are designed with direct Remote Direct Memory Access (RDMA) connectivity to GPU infrastructure, minimizing latency and maximizing bandwidth between quantum and classical computing resources. Moshe Azar, CEO of KMT Technologies, highlights the strategic alignment of this partnership, stating, “Entering
Aug 31, 2026 · via quantumzeitgeist.com
What's the deal? S-Transistors, a Finnish startup spun out of VTT Technical Research Centre of Finland, has raised €2.6 million in pre-seed funding to build a new class of integrated circuits based on superconducting transistors. Lifeline Ventures led the round, joined by an angel investor. What's the endgame? The company is developing what it calls quantum motherboards — hardware to orchestrate cryogenically cooled quantum computers more efficiently. Its superconducting transistors combine the computational power of transistors with the ultra-low power dissipation of superconductors. Why now? Today's superconducting quantum computers rely on multiple bulky cables per qubit, running from inside the cryostat out to room-temperature electronics. That approach is power-hungry and hard to scale, and unlocking the platform's potential will require machines with hundreds of thousands of qubits. What's the technology? S-Transistors' technology, already available at wafer scale, aims to bring classical control and interface hardware down into the cryostat, next to the quantum chip. "Superconducting transistors are exactly that missing piece of hardware for large-scale, energy-efficient quantum computing," said co-founder and chief executive officer Heorhii Bohuslavskyi. What's the money for? The startup will develop product prototypes for cryogenic signal control, set up its own cryogenic laboratory, and establish a manufacturing pilot line. It also plans to grow the team. Beyond quantum computing, the technology has potential applications in energy-efficient classical computing and spacecraft electronics. The signal: Cryogenic quantum computers are seen as among the most promising platforms for scaling, but they hit a hard wall when control electronics stay at room temperature. Moving that hardware into the cold — and making it energy-efficient enough to run there — is emerging as a central engineering challenge for the field. Read more: news.cision.com Image credit: Generated with Gemini
Aug 31, 2026 · via app.dealroom.co
Finnish startup S-Transistors raises $2.9M to scale quantum computers with superconducting transistors
● 6 hours ago
Finnish startup S-Transistors has raised €2.6 million in pre-seed funding to develop superconducting transistor technology for quantum computing. The company, which spun out of VTT Technical Research Centre of Finland, is creating integrated circuits that combine computational power with ultra-low power dissipation.
The technology addresses a critical scaling challenge in quantum computers: today's systems require multiple power-hungry cables per qubit running from cryogenic processors to room-temperature electronics. S-Transistors' solution operates at cryogenic temperatures alongside quantum processors, offering more energy-efficient control.
Lifeline Ventures led the round, joined by an angel investor. The funding will support prototype development, establish a cryogenic laboratory, set up a manufacturing pilot line, and expand the team.
The company's first product, a superconducting-transistor-based multiplexer, will ship to early customers within its first year of operation.
Source: news.cision.com
Aug 31, 2026 · via app.dealroom.co
S-Transistors raises €2.6 million pre-seed round to introduce a unique superconducting transistor platform for scalable orchestration of quantum computers Press release 31 August 2026 The new Finnish startup is disrupting the ways of controlling large-scale quantum computers by delivering a completely new class of electronic devices – superconducting transistors. These novel devices combine the computational power of transistors with the ultra-low power dissipation of superconductors. S-Transistors is developing first-of-its-kind quantum motherboards that will provide energy- and cost-efficient orchestration of cryogenic quantum computers at scale. Newly launched Finnish startup S-Transistors, originating from VTT Technical Research Centre of Finland, has raised €2.6 million in pre-seed funding to pioneer a fundamentally new class of integrated circuits based on superconducting transistors. The technology has several promising applications, from energy-efficient classical computing to spacecraft electronics, but quantum computing, in particular, stands to benefit most. Today's cryogenically cooled superconducting quantum computers need a paradigm-changing solution to break the scaling limit of the quantum processing unit (QPU) — the array of quantum bits that, by analogy to a conventional CPU, does the quantum computing. That limit comes from the power-hungry, poorly scalable way quantum processors are controlled today: multiple expensive, bulky cables per qubit, running from the processor inside the cryostat out to room-temperature electronics. This is exactly where S-Transistors' superconducting transistor technology, which is already available at wafer scale, offers a solution that is radically more energy-efficient and compact than existing alternatives. The funding round was led by Lifeline Ventures, a leading Nordic investor, and joined by an angel investor. S-Transistors is going to use the pre-seed funding to develop several product prototypes for cryogenic signal control and handling, set up its own cryogenic laboratory, establish a manufacturing pilot line for its unique integrated circuits based on superconducting transistors, and grow the team. "Today's efforts in
Aug 31, 2026 · via news.cision.com
Technical Section Editorial JPT’s Technical Section Editorial series features insights from committee members across SPE’s technical sections. Articles examine technical priorities, key activities, and emerging challenges within specific disciplines, providing SPE members with clear insight into how industry experts and volunteers are helping define SPE’s technical direction. Collectively, the series reflects the depth of SPE’s technical community and its continued commitment to advancing knowledge-sharing across the upstream energy sector. Learn more about the SPE Research and Development Technical Section (RDTS) on the RDTS SPE Connect Page. The rapid emergence of the disruptive technology of quantum computing (QC) opens up new opportunities for oil and gas computational problems. In response, the SPE Research and Development Technical Section (RDTS), in partnership with the Quantum Economic Development Consortium (QED-C), held a symposium at Rice University in May to identify the most prospective quantum computing use cases for oil and gas. Sponsored by QED-C, IBM, and SLB, the event brought together participants with a balanced mix of energy and QC expertise. Quantum computing industry representatives reviewed the current state and outlook for emerging hardware and software. Participants then examined how these technologies could be applied to oil and gas challenges. Quantum computing is not yet ready to replace high-performance computing in oil and gas workflows, but the industry needs to begin identifying where it may matter first. We identified the following use cases, which present long-standing challenges for the industry. - Seismic imaging: elastic waveform simulation - Simulation and modeling: new materials design and reservoir simulation - Production optimization: hydraulic fracture optimization and well intervention strategy Background For the past several decades, a fundamentally new and powerful computing technology has been emerging from laboratories across the world—QC. While quantum mechanics is fundamental to the behavior of semiconductors that are the physical basis of modern
Aug 31, 2026 · via jpt.spe.org
Elon Musk endorsed a physics theory capping quantum computers near 400 qubits, and Bitcoin (BTC) traders read it as proof the 835 qubits needed to break the network are unreachable. Key Points: - Musk endorsed a discrete-universe theory that caps usable qubits near 400, without mentioning Bitcoin. - Breaking Bitcoin's signatures takes an estimated 835 logical qubits, down from earlier published figures. - IBM targets 200 logical qubits by 2029, leaving both the physics claim and the attack estimate untested. Elon Musk Backs Palmer Quantum Qubit Ceiling Musk replied on Aug. 29 to an Institute of Art and Ideas post about the work of Oxford physicist Tim Palmer, writing that the universe is integer in units of Planck cubes. The post had gone up a day earlier. He said nothing about private keys, digital signatures or the Bitcoin network, and his comment addressed physics rather than cryptography. Investor Fred Krueger picked up the exchange the next day and argued that Bitcoin may already be quantum-safe, because current estimates put the attack requirement at 835 logical qubits. Krueger added that Musk and venture investor Steve Jurvetson had both commented favorably on the research. Palmer is a Royal Society fellow elected in 2003 who spent his career building weather forecasting models at Oxford. His paper, published in the Proceedings of the National Academy of Sciences in March, swaps the smooth mathematics behind quantum theory for a discrete structure. It estimates a usable ceiling of roughly 200 to 400 qubits on current hardware and no more than 1,000 under any design. Also Read: Solana Faces $110 Test After Major Whales Add Fresh Demand Bitcoin Signature Attack Estimates Keep Falling A July paper by Han Luo and seven co-authors cut the logical qubit count for attacking Bitcoin's signature curve to 835, the lowest figure
Aug 31, 2026 · via yellow.com
Quantum-safe free-space connectivity? Still waiting for optical fiber at your home? For private households, this is an inconvenience. For critical infrastructure and cybersecure networks, it’s a make-or-break resource. Free-space optical QKD enables connectivity at sites and between platforms where fiber deployment is impractical or impossible—like connectivity with mobile users of critical infrastructures, across campuses, harbors, industrial areas, and temporary ad hoc networks. The critical part is to take free-space QKD out of the laboratory. Our latest demonstration shows how it can be integrated into a practical wireless communication stack, with encryption, broadband data transport, and monitoring working together. Why QKD? Classical public-key cryptography relies on mathematical problems that are difficult for today’s computers. Powerful quantum computers threaten widely used cryptographic methods. QKD takes another path by distributing keys using quantum states of light, so eavesdropping changes the physical system and can be detected. Properly implemented QKD provides security grounded in physics rather than computational assumptions. It doesn’t replace every security tool, but rather belongs in a hybrid future with post-quantum cryptography, classical symmetric encryption, and authentication to allow future cybersecurity certification. The goal is defense in depth for data that must remain confidential for many years. QKD on optical free-space channels KEEQuant adapted its commercial continuous-variable (CV) QKD devices for operation on optical free-space channels. This includes the optical coupling of a telecom-band CV-QKD signal into a free-space link, development of hardware and software interfaces for integration with key management, encryption applications, and network-management functions. This is relevant for security-critical environments because the result isn’t an isolated QKD experiment but rather a route toward deployable key delivery over line-of-sight links. This achievement was demonstrated during a recent German research project called QuINSiDa, which involved six partners from academia and industry. The consortium set out to answer a practical question: What
Aug 31, 2026 · via laserfocusworld.com
Inside China's Pioneering Quantum-Powered Demonstration Substation Discover how China's Houdian demonstration substation in Hefei integrates cutting-edge quantum technologies to enhance power grid safety, efficiency, and cybersecurity. Par Xu Jing, People's Daily Quantum technology is beginning to transform the way China's power grids operate. At the 220-kilovolt Houdian Quantum Application Demonstration Substation in Hefei, east China's Anhui province, a suite of advanced quantum technologies is now in use. These include diamond-based quantum sensing materials to monitor current fluctuations, quantum-dot gas sensors to detect potential cable fire hazards and partial discharge faults inside switchgear, and other innovations that strengthen the intelligence, safety, and efficiency of grid operations. Commissioned in November 2024, the facility is China's first demonstration substation dedicated to the systematic application of quantum technologies. It has deployed 85 independently developed quantum devices across 18 categories, covering quantum sensing, quantum communication, and quantum computing. The project represents a pioneering effort to integrate quantum technologies into power grid engineering, offering a new technological solution to the challenges faced by conventional power grids while supporting the development of a new-type power system. The substation also represents a new generation of fully unattended intelligent substations. "We have replaced many manual inspection tasks with high-precision quantum sensing equipment," said Tian Teng, a young engineer at the digitalization institute of the electric power research institute under State Grid Anhui Electric Power Co., Ltd. "The new system can identify and diagnose equipment defects much faster, reducing both inspection costs and operating expenses." Inside the high-voltage switchgear hall, rows of power equipment operated steadily. Standing beside an out-of-service switchgear cabinet, Tian pointed to a small device mounted on its side. "This is a quantum-dot multi-parameter sensor," he explained. "It continuously monitors the cabinet's internal environment and detects signals associated with partial electrical discharge, enabling us to assess the
Aug 31, 2026 · via alwihdainfo.com
Edward Farhi invented two of the most-studied algorithms in quantum computing. Both aim at optimisation, which is also the application the industry most often promises. He built the quantum adiabatic algorithm in 2000 and QAOA in 2014. Between them they shaped how the field thinks about hard combinatorial problems. What makes Farhi the right person to profile is not just that he built these tools, but that he has been among the clearest voices on their limits. He came to quantum computing after a full career in particle physics, and he brought with him a physicist’s insistence on knowing exactly what has been proved and what has merely been hoped. On the question the whole field turns on, whether quantum optimisation actually beats the best classical methods, the inventor of the leading algorithm is notably careful. Farhi built two landmark quantum algorithms. The adiabatic algorithm came in 2000 and QAOA in 2014. Both aim at approximate optimisation, the application quantum computing most often promises. He came from particle physics. As a student he introduced thrust as a QCD observable, a variable still used at the Large Hadron Collider, and he co-created the Farhi-Susskind technicolor model before turning to quantum computing. The adiabatic algorithm computes by staying in the ground state. Start in an easy state, deform the problem slowly, and the answer is where you end up, provided the change is slow enough. QAOA is its near-term cousin. It chops the smooth adiabatic evolution into a few tunable layers a noisy gate machine can run, which is why it is the most-run optimisation algorithm on real hardware. Neither has a proven advantage. Whether quantum optimisation beats the best classical methods on a useful problem remains open, and Farhi’s own group has published some of the sharpest results on where it
Aug 31, 2026 · via quantumzeitgeist.com
Quantum Computing Myths and Reality Few technologies are surrounded by as much confusion as this one. Here are ten of the most common quantum computing myths, set against what the science and the engineering actually show. A quantum computer will not replace your laptop. It is a specialised accelerator for a narrow class of problems. For everything you do today, a classical machine is faster and cheaper. It does not try every answer at once. Superposition is not parallel search. Interference has to cancel the wrong answers, and designing that cancellation is the whole difficulty of a quantum algorithm. Encryption is not falling this year. The best current estimate for breaking RSA-2048 is under a million noisy qubits, and no machine has more than about twelve hundred. The risk that matters is data stolen today and decrypted later. More qubits does not mean a better machine. Error rate, connectivity and coherence time decide what a chip can run. A noisy thousand-qubit device can be less useful than a clean fifty-qubit one. Quantum supremacy was never a claim of usefulness. It means a machine did something a classical computer finds hard, on a task chosen to be hard. None has yet solved a problem anyone needed solved. Entanglement cannot send a message. The two sets of results match when you compare them, and comparing them needs an ordinary channel. No-signalling is a theorem, not an engineering limit. Quantum computing myths travel faster than the research that should correct them, because the subject is genuinely strange and the headlines reward drama over nuance. A field that deals in superposition and entanglement is easy to dress up as magic, and easy to dismiss as a con, and both reactions miss what is really happening. The truth sits in a less excitable middle, where
Aug 31, 2026 · via quantumzeitgeist.com
NISQ stands for Noisy Intermediate-Scale Quantum, and it is the name for the era of quantum computing we are living in right now. A NISQ machine has enough qubits to be interesting, too many for a classical computer to easily imitate, but no error correction, so noise limits what it can reliably do. The term captures both the promise and the frustration of today’s hardware. This guide explains where the term came from and why the word noisy is the whole point. It covers what these machines are actually good for, the two structural problems that cap them, and why the field now treats NISQ as a stepping stone. Understanding it is the quickest way to close the gap between quantum computing headlines and reality. NISQ means noisy and uncorrected. The defining feature is the absence of error correction, so accumulated noise caps how deep a circuit can run. It is an era, not a machine type. The term describes a stage that spans every hardware platform, from superconducting to trapped ions. Intermediate scale is about size. Preskill’s paper points to roughly fifty to a few hundred qubits, too many for brute-force simulation but far too few for fault tolerance. Its signature is hybrid algorithms. Variational methods that pair a shallow quantum circuit with a classical optimiser are the workhorses of the NISQ era. Two walls cap it. Barren plateaus make training exponentially harder as qubit counts rise, and the number of measurement shots needed for useful precision is brutal. The field is moving past it. The goal now is early error correction, with recent results showing that correction can finally beat the noise it introduces. Noisy, intermediate-scale, and with no error correction The letters spell out the two defining traits of today’s machines. Noisy means the qubits and the
Aug 31, 2026 · via quantumzeitgeist.com
David E. Shaw is usually introduced as the billionaire who built one of the most secretive quantitative hedge funds on Wall Street. That description is accurate and it buries the more interesting fact, which is that he left the firm bearing his name to go back to building computers. The through line across four decades is unusually consistent. Shaw has spent his career arguing that if you care enough about one specific calculation, you should stop buying general-purpose computers and design silicon shaped around that calculation instead. He made that argument as a young academic in the 1980s, he applied it to securities markets in between, and he has spent the years since building machines that simulate molecules faster than anything else on Earth. The hedge fund was the detour, not the destination. Shaw was building custom parallel hardware at Columbia before Wall Street and returned to building custom parallel hardware afterwards. The finance years funded the machine. Anton is the argument for special-purpose silicon, made in hardware. By spending every transistor on one calculation, it reached simulation timescales that general-purpose machines could not approach. He hired Jeff Bezos, who left to start Amazon. Bezos joined D. E. Shaw & Co in 1990, became its youngest senior vice president in 1992, and left in 1994 with an idea about selling books online. Anton solves the half of chemistry that quantum computers do not. It runs classical molecular dynamics at enormous scale, treating the quantum behaviour of electrons as an approximation baked into a force field. That makes Anton the benchmark quantum chemistry has to beat. Claims that a quantum computer will transform drug discovery are competing against a machine that already exists and already works. The architectural lesson transfers directly. A quantum processor is another bet that a device built
Aug 31, 2026 · via quantumzeitgeist.com
QuEra Computing, a developer of neutral-atom quantum computers, announced on August 27, 2026, that it used Anthropic's Claude to develop laser recovery and tuning logic. The resulting recovery controller returned lasers to their target frequency in 695 out of 700 trials, a 99.3% success rate. But the notable shift here isn't that AI now continuously operates the quantum computer. It's that the knowledge Claude gained through trial and error on real hardware has been sealed into ordinary, inspectable code. Lasers serve as the hands and feet of a neutral-atom machine. In QuEra's system, optical tweezers capture atoms, a separate laser manipulates their quantum states, and light readout ultimately yields computation results. According to Anthropic, the lasers involved here require frequency precision on the order of one part in a trillion. Temperature shifts, vibration, or air pressure changes can knock the system out of "lock," preventing correct operations from reaching the qubits. The task at hand was to compress a rare failure recovery process that human experts once handled in five to ten minutes down to a matter of seconds. Claude builds it, but ordinary code runs it What QuEra handed to Claude wasn't the entire customer-facing quantum computer, but a dedicated laser testbed worth roughly $700,000. The AI didn't operate inside the microsecond-scale servo loop itself; instead, it worked from a level above, reading equipment states and adjusting control values. Humans predefined the operating range and success criteria: the relock had to succeed on the first attempt and hold for 30 seconds. The development loop was split into four roles: one Claude instance proposed new recovery hypotheses, another fixed the code, a third ran tests on real hardware and logged every operation, and a fourth decided the next change based on the logs. Each used a fresh instance, and by
Aug 31, 2026 · via xenospectrum.com
Elon Musk Backs the Physics Behind a Claim Quantum Computers Can't Break Bitcoin
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Aug 30, 2026 · via cryptonews.net
How Singapore turns billion-dollar science research into real-world success - Singapore’s RIE plans have driven innovation in industries like marine manufacturing, with Mencast Marine adopting AI and 3D printing to boost productivity and reduce carbon footprint. - Horizon Quantum, a local deep tech startup, developed tools to simplify quantum computing, secured funding, and launched Singapore’s first commercial quantum computer for hire. - PRECISE and PREPARE initiatives advance precision medicine and epidemic preparedness, mapping genomes and creating respiratory tissue models to improve healthcare and future outbreak responses. AI generated SINGAPORE – Singapore launched its first Research, Innovation and Enterprise (RIE) roadmap in 2010, supported by a budget of $16.1 billion, to outline the nation's priorities in research and technology. It has been 15 years since that initial launch. In 2026, the National Research Foundation is expected to publish its RIE2025 report to document the country’s progress over the most recent five-year period from April 2021 to March 2026. NRF will also release its full RIE2030 plan to set out goals and priorities for the next five years with a new budget of $37 billion. The Straits Times recaps some of the success stories that emerged from Singapore’s RIE efforts. Mencast Marine Founded in 1981 as a four-man operation designing and manufacturing propellers for tugboats and fast-boats, Mencast Marine’s production process depended on raw materials such as sand and bronze alloy ingots, imported from as far away as Europe. The propellers, typically between 1m and 3m in diameter, are made by melting the ingots into sand moulds in a process known as sand casting. It has also relied on engineers for its labour-intensive production process. In 2023, the home-grown firm tapped Singapore’s research ecosystem, partnering Enterprise Singapore and A*STAR to incorporate artificial intelligence and additive manufacturing – more commonly known as 3D-printing
Aug 30, 2026 · via straitstimes.com
French quantum startup Quobly raises $134M led by Bpifrance and STMicroelectronics
● a day ago
French quantum computing startup Quobly has raised €115 million ($133.72 million) in a funding round led by state-backed investment bank Bpifrance, chipmaker STMicroelectronics, and Sealsq. The funding follows recent public investments in quantum computing, including France's €1 billion commitment and the US administration's $2 billion announcement.
Quobly aims to produce affordable, reliable quantum computers using modified transistors similar to conventional chips. CEO Maud Vinet said this approach will make their quantum computers 100 times cheaper than competing technologies. The company is collaborating with STMicroelectronics for chip manufacturing, with a team of around 15 people working inside the chipmaker's facilities.
Quobly plans to offer cloud-based access to its first systems from its Grenoble headquarters later this year. Other investors include the European Innovation Council, Blast, Air Liquide Venture Capital, and existing investor Innovacom.
Source: stockopedia.com
Aug 30, 2026 · via app.dealroom.co
Week in review: first quantum‑resistant Bitcoin transaction and Solana inflation decision Bitcoin dips after Fed remarks; StarkWare tests quantum-safe TX; Solana backs lower inflation. Bitcoin slipped to $78,000 after the Fed chief’s remarks, StarkWare executed the first quantum‑resistant transaction on the Bitcoin network, the Solana community backed cutting SOL inflation, and other highlights from the week. Bitcoin rebounds above $78,000 Throughout the week, the first cryptocurrency tried to test $81,000. On Binance, the price briefly reached $81,354. However, on Friday, following remarks by Fed chair Kevin Warsh, the price fell below $76,000. The head of the regulator reaffirmed the 2% inflation target. He said the weak summer data do not yet signal a meaningful improvement in the underlying trend. After Warsh’s speech, traders revised expectations for the Fed’s September meeting — the probability of a rate hike rose in a day from 35.4% to 57%. At the time of writing, bitcoin had recovered and approached $79,000, up more than 1.5% over 24 hours and holding a weekly gain of nearly 2%. Among the largest altcoins by market cap, Solana (+12.4%) and HYPE from Hyperliquid (+4.3%) notably outperformed. XRP fell ~7.5% over the week to $1.4. Inflows into spot bitcoin-ETF products slowed: they attracted about ~$934.5 million for the week versus $1.92 billion the week before. On Friday, investors pulled nearly $202 million, ending a nine‑day streak of daily net inflows. Ethereum funds saw $824.4 million of inflows, up from $697.2 million the previous week. The most recent daily net outflow from ETH ETFs was recorded on August 11. The crypto Fear and Greed Index jumped to a local high of 74 early in the week. It then pulled back to 69, remaining near the extreme greed zone. The digital asset market capitalization rose from $2.62 trillion to $2.66 trillion. Bitcoin’s
Aug 30, 2026 · via forklog.com
Ripple Prepares XRP Ledger For A Future Quantum Threat Ripple released a roadmap whose role is to make the XRP Ledger compatible with post-quantum signatures by 2028. Indeed, the project plans tests, a coexistence period between the old and new systems, as well as a global network migration. However, this protection is not yet activated on the main network. No computer is yet capable of calculating the private keys used to control XRP accounts. In brief - Ripple prepares the XRP Ledger for post-quantum signatures by 2028. - The migration will follow four phases, from testing to global network transition. - Key rotation will facilitate the switch to new signature systems. - Validators will have to approve the integration of post-quantum protections. - Network performance and algorithm security remain at the core of tests. Ripple organizes the XRP Ledger migration in four phases While network activity explodes, Ayo Akinyele, Senior Director of Engineering at Ripple, explained in detail this strategy. For him, the company wants to prepare the infrastructure before quantum computers become an immediate threat. The risk fundamentally rests on elliptic curve-based signatures. The XRP Ledger currently uses the secp256k1 and Ed25519 algorithms. Thus, a very powerful quantum computer would theoretically exploit a public key to find the equivalent private key. Then, it would sign transactions instead of the owner. Here are the key steps of this program : - The first phase provides an emergency procedure in case of sudden breakdown of current cryptography ; - The second evaluates risks, post-quantum algorithms, and their performance consequences ; - The third phase must make current and post-quantum signatures coexist on test networks ; - The fourth aims for a general transition of the XRP Ledger by 2028 at the latest. This guidance document was originally published by Ripple in
Aug 30, 2026 · via cointribune.com