Quantum computers can crack 15-bit ECC keys, and there is currently no threat to 256-bit Bitcoin security, but the countdown for migration is accelerating Project Eleven today awarded the Q-Day prize to researcher Giancarlo Lelli, who successfully derived a 15-digit elliptic curve private key from a public key using publicly accessible quantum hardware, marking the largest scale demonstration of its kind to date, a 512-fold increase from the 6-digit demonstration in September 2025. Lelli used a variant of Shor's algorithm for the elliptic curve discrete logarithm problem, which is the mathematical foundation of the Bitcoin signature scheme, with the awarded hardware featuring approximately 70 qubits. Currently, no known quantum computer can crack real Bitcoin wallets, and the security of Bitcoin's 256-bit elliptic curve remains far beyond current quantum capabilities. Notably, Google lowered its resource estimates for ECDLP-256 on March 31 and set a target for the migration to quantum cryptography after 2029, followed by Cloudflare, and the UK's NCSC also set migration milestones from 2028 to 2035. On-chain data shows that approximately 6.93 million BTC are at potential quantum risk due to exposed public keys. The Bitcoin community has proposed BIP 360 and BIP 361 to promote the migration to quantum-resistant output types, but the coordination challenges of a decentralized network remain the biggest hurdle.
Apr 26, 2026 · via chaincatcher.com
TG Therapeutics (TGTX) Is Up 7.6% After Advancing Subcutaneous BRIUMVI Phase 3 Trial Enrollment Completion TG Therapeutics, Inc. TGTX | 36.62 | -0.81% | - TG Therapeutics recently completed enrollment in a Phase 3 trial of a subcutaneous formulation of BRIUMVI for adults with relapsing multiple sclerosis, comparing every 8- and 12-week dosing to the currently approved intravenous regimen on pharmacokinetics, safety, and clinical outcomes. - A key focus of the study is whether subcutaneous BRIUMVI can match the drug exposure of the intravenous form while potentially offering a more convenient administration schedule and expanding its clinical utility. - Against this backdrop, we'll examine how advancing a potentially more convenient subcutaneous BRIUMVI formulation could reshape TG Therapeutics' investment narrative. This technology could replace computers: discover 26 stocks that are working to make quantum computing a reality. TG Therapeutics Investment Narrative Recap To own TG Therapeutics, you need to believe BRIUMVI can remain the core growth engine while the company manages payer pressure, safety scrutiny, and intensifying MS competition. Completion of enrollment for the Phase 3 subcutaneous BRIUMVI trial directly affects the key near term catalyst: potential expansion into the self-administered segment. It may also partially offset the biggest current risk, which is the market shift and pricing pressure toward lower cost, at home therapies that could otherwise undercut the IV franchise. The most relevant recent announcement alongside this trial milestone is the Q4 2025 earnings report, showing BRIUMVI driven revenue of about US$616,287,000 for 2025 and positive net income. That financial performance underpins the consensus view that TG is now a profitable, BRIUMVI centric business, so any future readout from the subcutaneous Phase 3 program could meaningfully influence how durable that earnings base appears relative to both opportunity and risk. Yet beneath the excitement around subcutaneous BRIUMVI, investors should be
Apr 25, 2026 · via sahmcapital.com
D-Wave Quantum’s Post-Rally Reality Check: Earnings, Insider Sales, and a Blockchain Wildcard 26.04.26 00:00 Börse Global (en) The euphoria that propelled D-Wave Quantum from around $13 to above $22 in April has evaporated, leaving the stock to search for a floor. After closing Friday at $18.49—having swung between $17.90 and $19.94 during the session—the shares have surrendered roughly half their gains from the month’s peak. Volume, at nearly 18 million shares, fell well short of the daily average of about 45 million, a signal that the speculative frenzy has cooled rather than turned into a panic sell-off. The catalyst for the April surge was Nvidia’s announcement of a new AI model family designed to boost quantum processor performance. D-Wave rode that industry-wide wave, but the momentum has since ebbed. Now, the company faces a critical test on May 12, when it reports fiscal first-quarter 2026 results. Investors will be watching closely to see whether the commercial demand for quantum computing is translating into real revenue—especially from its QCaaS subscription business—or whether the rally was purely sentiment-driven. Wall Street Wavers While Insider Sales Mount Analyst sentiment is split heading into the earnings report. Mizuho maintained its Outperform rating but slashed its price target from $40 to $31, still implying more than 100% upside from current levels. The bank points to D-Wave’s dual strategy of combining annealing and superconducting gate-model quantum computers as a long-term competitive advantage, projecting the company could capture roughly 10% of the quantum computing market by 2030. Northland, meanwhile, initiated coverage with a Market Perform rating and a $22 target, acknowledging the sector’s potential but placing D-Wave behind higher-valued peers. Evercore ISI also trimmed its target slightly to $42 while keeping a positive stance. Adding to the caution, insider selling has been a persistent theme. Most recently, Chief
Apr 25, 2026 · via aktiencheck.de
The Business Research Company's Quantum Simulator Market Report 2026 – Market Size, Trends, And Global Forecast 2026-2035 LONDON, GREATER LONDON, UNITED KINGDOM, April 25, 2026 /EINPresswire.com/ -- "The quantum simulator market is experiencing impressive growth as advances in quantum technology continue to gain momentum. Increasing interest from research institutions, industries, and governments is driving demand for sophisticated simulation tools that can tackle complex quantum problems beyond the reach of classical computing. Let’s explore the current market size, the factors propelling its expansion, regional dynamics, and the key trends shaping its future. Strong Growth Trajectory in the Quantum Simulator Market Size Over recent years, the quantum simulator market has expanded significantly and shows no signs of slowing down. The market is projected to grow from $11.74 billion in 2025 to $14.03 billion in 2026, reflecting a robust compound annual growth rate (CAGR) of 19.5%. This surge is largely driven by intensified research efforts in quantum physics and chemistry, heightened demand for high-performance computing solutions, widespread adoption of classical simulation tools, increased funding from government and academic sources, and technological advances in superconducting and trapped ion systems. Download a free sample of the quantum simulator market report: Looking further ahead, the market is expected to reach $28.84 billion by 2030, maintaining a strong CAGR of 19.7%. The forecasted growth is fueled by the rising use of cloud-based quantum simulators, growing investments in quantum algorithm innovation, expanding applications in drug discovery and materials science, enhanced collaboration between academic and industrial research, and integration of AI and machine learning to improve quantum system modeling. Understanding the Role and Function of Quantum Simulators Quantum simulators are specialized computing systems designed to model intricate quantum phenomena that are extremely challenging or impossible to analyze using traditional computers. These simulators use controllable quantum components like trapped ions,
Apr 25, 2026 · via mycarrollcountynews.com
- United States - / - Tech Hardware - / - NYSE:IONQ IonQ (IONQ) Is Down 7.4% After First Linking Commercial Quantum Computers Via Photonic Entanglement - Earlier in April 2026, IonQ interconnected two independent trapped-ion quantum systems via photonic links, marking the first connection of commercial quantum computers and validating entanglement-based networking between remote machines for advanced operations. - This breakthrough, coupled with a DARPA HARQ contract and an expanded University of Maryland QLab partnership for quantum memory and networking research, positions IonQ at the center of efforts to build modular, networked quantum architectures for government and enterprise use. - Next, we’ll explore how IonQ’s first connected commercial quantum systems could reshape its investment narrative around scalable, fault-tolerant computing. Invest in the nuclear renaissance through our list of 91 elite nuclear energy infrastructure plays powering the global AI revolution. IonQ Investment Narrative Recap To own IonQ, you have to believe that trapped ion hardware, quantum networking, and a large cash cushion can support a long multi year build out despite ongoing losses and volatility. In the near term, the key catalyst is whether IonQ can keep translating technical milestones into sizable contracts, while the biggest risk remains execution against its aggressive scaling roadmap; this new photonic interconnect milestone reinforces the roadmap but does not remove that risk. Among the recent announcements, the DARPA HARQ contract is especially relevant because it ties IonQ’s new interconnect achievement directly to funded work on heterogeneous, networked quantum architectures. That program focuses on high performance quantum memories and interconnects, aligning closely with IonQ’s push toward modular fault tolerant systems and potentially supporting the same catalysts investors are watching, such as larger government workloads and higher visibility on future revenue. Yet behind the headlines, investors should also be aware that IonQ’s rapid expansion and rising
Apr 25, 2026 · via simplywall.st
Earlier in April 2026, IonQ interconnected two independent trapped-ion quantum systems via photonic links, marking the first connection of commercial quantum computers and validating entanglement-based networking between remote machines for advanced operations. This breakthrough, coupled with a DARPA HARQ contract and an expanded University of Maryland QLab partnership for quantum memory and networking research, positions IonQ at the center of efforts to build modular, networked quantum architectures for government and enterprise use. Next, we’ll explore how IonQ’s first connected commercial quantum systems could reshape its investment narrative around scalable, fault-tolerant computing. To own IonQ, you have to believe that trapped ion hardware, quantum networking, and a large cash cushion can support a long multi year build out despite ongoing losses and volatility. In the near term, the key catalyst is whether IonQ can keep translating technical milestones into sizable contracts, while the biggest risk remains execution against its aggressive scaling roadmap; this new photonic interconnect milestone reinforces the roadmap but does not remove that risk. Among the recent announcements, the DARPA HARQ contract is especially relevant because it ties IonQ’s new interconnect achievement directly to funded work on heterogeneous, networked quantum architectures. That program focuses on high performance quantum memories and interconnects, aligning closely with IonQ’s push toward modular fault tolerant systems and potentially supporting the same catalysts investors are watching, such as larger government workloads and higher visibility on future revenue. Yet behind the headlines, investors should also be aware that IonQ’s rapid expansion and rising expenses could... IonQ's narrative projects $388.6 million revenue and $24.0 million earnings by 2028. This requires 69.5% yearly revenue growth and an earnings increase of about $1.5 billion from $-1.5 billion today. The lowest set of analysts paints a much tougher path than consensus, even before this networking news, assuming revenue of about
Apr 25, 2026 · via simplywall.st
9 Identity-Based Threats Redefining Cybersecurity in 2026 (Beyond Credential Stuffing) The post 9 Identity-Based Threats Redefining Cybersecurity in 2026 (Beyond Credential Stuffing) appeared first on MojoAuth Blog – Passwordless Authentication & Identity Solutions. The identity threat landscape in 2026 looks nothing like it did three years ago. Attackers are no longer just recycling breach lists. They're deploying AI-generated voices to bypass bank call centers, using autonomous AI agents to silently escalate privileges, and hoarding encrypted data today to decrypt it after quantum computers arrive. If your security architecture is still optimized for 2023's playbook, you're defending the wrong perimeter. This guide breaks down the nine identity threats that are reshaping what "secure authentication" actually means right now. Key Takeaways - Credential stuffing is yesterday's threat. The 2026 attack surface includes AI agents, deepfake voices, and quantum-era data harvesting. - MFA fatigue attacks rose 217% year-over-year according to the 2025 Verizon DBIR, making push-notification MFA a liability in high-risk environments. - Deepfake-generated audio and video can now bypass voice biometric systems used by financial institutions, with a 900% year-over-year increase in deepfake file volume reported in 2024. - Legacy authentication (passwords, SMS OTP, push-based MFA) fails against most of these threats by design, not by accident. - Phishing-resistant, passwordless, zero-store authentication neutralizes the majority of the attack vectors below at the identity layer. Why the 2026 Identity Threat Matrix Is Different Most of the threats that dominated security conversations from 2018 to 2023 shared one dependency: the password. Credential stuffing, password spraying, brute force, even basic phishing were all, at their core, attempts to obtain or guess a shared secret that granted access. The 2026 threat matrix has moved past that. Attackers now target the verification layer itself, not just the credentials that feed it. They're cloning voices to pass authentication
Apr 25, 2026 · via securityboulevard.com
Key Points Rigetti’s stock has plunged 70% from its all-time high. It still looks overvalued in this frothy market. Rigetti Computing(NASDAQ: RGTI), a developer of quantum computing chips and systems, went public through a merger with a special purpose acquisition company (SPAC) four years ago. Its stock started trading at $9.75, set a record high of $56.34 last October, but now trades at about $17. Let's see why Rigetti pulled back, and why it could sink even lower this year. What does Rigetti Computing do? Unlike classical computers, which store their data in binary bits of zeros and ones, quantum computers can store those zeros and ones simultaneously in qubits. That difference allows them to process more data and perform certain tasks faster than their classical counterparts, but they're also larger, pricier, less accurate, and consume more power. That's why they're still primarily used for niche research projects rather than mainstream computing applications. Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue » Newer quantum computing companies, such as Rigetti, are addressing those issues with cheaper and more scalable systems. Rigetti produces modular and non-modular quantum processing units (QPUs), installs them in its own quantum systems, and allows developers to create their own quantum algorithms on its cloud-based Quantum Computing Services (QCS) platform. By bundling its hardware and software, Rigetti is a full-stack quantum computing company that serves as a "one-stop shop" for companies investing in the nascent technology. Why could Rigetti's stock tumble in 2026? Rigetti's business strategy sounds promising, but it still generates most of its revenue from government and research contracts -- as well as its smaller cloud-based business -- rather than its sales
Apr 25, 2026 · via theglobeandmail.com
The following is an executive summary of a 44 page report written by GQI’s Chief Analyst, Dr. David Shaw. To obtain the full report, contact GQI at info@global-qi.com. For years, both the cybersecurity and quantum communities have focused on RSA-2048 as the lead benchmark by which to assess the timeline for the threat posed by future large scale quantum computers to conventional public key cryptography. A notion often summarized as ‘Q-day’. Though this originally seemed justified, it now looks to be materially misguided. Recent work from Google, Oratomic and Alice & Bob demonstrates how algorithmic and architectural advances have rendered ECC-256, rather than RSA-2048, vulnerable on a much earlier timescale. Such protocols are currently used widely in Internet and corporate VPN cybersecurity protocols, and in leading cryptocurrencies such as Bitcoin and Ethereum for transaction security. While many leading nation-states have set in motion plans for a transition to quantum safe alternatives by 2035, GQI assesses the timeline for ECC-256 Q-day for offline/retrospective attacks to be most likely 2032 with a reasonable worst case of just 3 years from today. Further disruptive change accelerating this timeline is also possible. Intensive innovation continues up and down the quantum computing stack, across all hardware, midstack and software layers. Care must be taken to consider which of these innovations are potentially cross-compatible and which are mutually exclusive. This is not a case where we can ‘ask an expert’; we have to ‘join up the experts’. GQI urges enterprise clients and governments to focus urgently on their plans for transition to post quantum cryptography (PQC), and to adopt crypto agile solutions. Users with the most sensitive security needs, and the capacity to manage the additional complexity, should also consider additional high assurance comms solutions as a complementary layer of security. The accelerated cybersecurity threat is
Apr 25, 2026 · via quantumcomputingreport.com
Bitcoin Quantum Threat May Not Be as Serious as Feared, According to Analyst A report by on-chain analyst James Check is challenging claims that quantum attacks on Bitcoin (BTC) could trigger a catastrophic market collapse. According to the analysis, even in a worst-case scenario where Satoshi-era coins are hacked and sold, the impact would resemble typical market cycles rather than an existential crisis. Breaking Down the 6.9 Million Figure The debate about what could happen to Bitcoin if quantum computers become a reality has grown following research published in March by Google, which outlined how such advanced systems could break cryptographic keys within minutes under certain conditions. The number that keeps recurring in these discussions is 6.9 million BTC with exposed public keys, and Check’s argument is that treating this as a single, unified threat misrepresents the actual risk. He splits the exposure into three groups. Around 214,000 BTC sits in Taproot addresses, a newer protocol whose owners are almost certainly alive and capable of moving funds if a post-quantum solution appears. A lot of it is tied up in inscriptions, meaning a quantum attacker would sometimes be cracking cryptography to steal a digital image and a few thousand satoshis. The bigger pool, roughly 4.996 million BTC, sits in re-used addresses. Most of this belongs to exchanges and custodians. “Exchanges and custodians have a duty to protect clients’ funds,” Check wrote, and he is confident that institutions like Binance and Coinbase are already working on solutions. He wants data firms with comprehensive entity labels to do a proper breakdown, expecting the genuinely high-risk portion to shrink dramatically once you strip out active institutions and living users. You may also like: - Crypto for Safe Passage Through the Strait of Hormuz: The New Scam - $1.4B Flows Into Crypto Funds in
Apr 25, 2026 · via cryptopotato.com
This Week’s Awesome Tech Stories From Around the Web (Through April 25) Every week, we scour the web for important, insightful, and fascinating stories in science and technology. Image Credit Bhautik Patel on Unsplash Share Future The People Do Not Yearn for AutomationNilay Patel | The Verge "Not everything about our lives can be measured and automated and optimized, and it shouldn’t be. And so the tech industry is rushing forward to put AI everywhere at enormous cost—energy, emissions, manufacturing capacity, the ability to buy RAM—and locked into the narrow framework of software brain without realizing they are also asking people to be fundamentally less human." BIOTECHNOLOGY AI-Designed Drugs by a DeepMind Spinoff Are Headed to Human Trials Emily Mullin | Wired ($) "In a technical paper [released earlier this year], the company touts that the [new IsoDDE] platform more than doubles the accuracy of AlphaFold 3. The startup has formed partnerships with Eli Lilly and Novartis to work together on AI drug discovery and is also advancing its own 'broad and exciting pipeline of new medicines' in oncology and immunology, Jaderberg said." Computing We Might Finally Know How to Use Quantum Computers to Boost AIKarmela Padavic-Callaghan | New Scientist ($) "They showed not only that this approach can work but that it would allow the quantum computer to process more data at a smaller memory cost than any conventional computer. The memory advantage is so large, in fact, that a quantum computer made from about 300 error-proof building blocks called logical qubits would outperform a classical computer built using every atom in the observable universe, says Zhao." Future New Gas-Powered Data Centers Could Emit More Greenhouse Gases Than Entire NationsMolly Taft | Wired ($) "A Wired review of permits for data center projects using natural gas and linked to
Apr 25, 2026 · via singularityhub.com
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Apr 25, 2026 · via youtube.com
About
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Apr 25, 2026 · via youtube.com
Quantum computer breaks 15-bit elliptic curve cryptographic key Project Eleven, a quantum security research company, awarded a prize to researcher Giancarlo Lelli for using a quantum computer to break a 15-bit elliptic-curve key — a small-scale version of the same cryptography used in Bitcoin, which relies on far larger 256-bit keys. Lelli was able to derive a private key from the public key paired to it, using a “variant” of Shor’s algorithm, an integer factorization algorithm for quantum computers, according to Project 11’s announcement on Friday. Bitcoin’s keys are 256 bits long, representing a “large” gap from the 15-bit key Lelli was able to crack, Project 11 said. However, the gap between Bitcoin’s 256-bit keys and the number of bits a quantum computer can factor has “fallen sharply” since 2025. Project 11 added. “The resource requirements for this type of attack keep dropping, and the barrier to running it in practice is dropping with them,” Alex Pruden, CEO of Project Eleven, said. The supply of BTC exposed to quantum attacks. Source: Rand Group The attack is the “largest public demonstration” of a quantum computer breaking an ECDSA key, and it threatens about $2.5 trillion in value secured by elliptic-curve cryptography algorithms, according to Project 11. Bitcoin community debates the timeline of the quantum threat Quantum computers threaten about $450 billion in BTC held in older wallet addresses whose public keys are exposed, according to crypto industry executives and computer scientists. The Bitcoin community has about three to five years to prepare for the quantum threat, according to analysts at Bernstein. Speaking at a Cointelegraph panel at Paris Blockchain Week in April, Blockstream CEO Adam Back said that the Bitcoin industry should start preparing post-quantum solutions now, even though the threat is decades away. Source: Adam Back “Quantum computing still has
Apr 24, 2026 · via tradingview.com
A quantum computer broke a 15-bit elliptic curve key in a Bitcoin-related test. The demonstration doesn’t immediately threaten Bitcoin’s 256-bit security but raises questions about future vulnerabilities. The “Another crypto hack over $100m by December 31?” market sits at Market reaction The crypto hack market has been stable at 100% YES, with traders fully expecting a significant breach by year’s end. The April 26 Bitcoin market remains at The Ethereum market shows no reaction. Odds for the price falling below $2,000 on April 24 are at just 0.1% YES. That market trades with a face value of $405,683 but only $344 in actual USDC, a gap that signals almost no conviction in downward movement. Why it matters Bitcoin’s 256-bit security isn’t at risk from a 15-bit key break, but the gap between what quantum computers can crack and what secures the network is narrowing. The demonstration puts a timeline on a problem the crypto ecosystem has mostly treated as theoretical. For traders, the hack market is already fully priced in at 100% YES, so a YES share pays the full dollar if resolved but offers no upside from current levels. What to watch Google’s quantum roadmap and any blockchain announcements about post-quantum cryptography adoption. If Ethereum or Bitcoin core developers announce specific timelines for quantum-resistant upgrades, odds across multiple markets could shift quickly. API access Get prediction market intelligence as a structured API feed. Early access waitlist.
Apr 24, 2026 · via cryptobriefing.com
- Giancarlo Lelli performed the largest known quantum attack on Bitcoin’s encryption model. - His feat is a 512-fold jump from the previous record. - Bitcoin enthusiasts are scrambling for ideas to deal with the quantum computing threat. Bitcoin’s timeline to deal with quantum computers just got a little bit shorter. A researcher called Giancarlo Lelli performed the largest known quantum attack on elliptic curve cryptography, the standard that secures Bitcoin, Ethereum, and a vast majority of the $2.6 trillion crypto market. Lelli’s breakthrough is a 512-fold jump from the previous record. Even though the result doesn’t break Bitcoin, it suggests something pretty unsettling. Progress towards breaking the $1.5 trillion network is accelerating on hardware that anyone can rent. “The winning submission came from an independent researcher working on cloud-accessible hardware,” said Andy Pruden, CEO of Project Eleven, a startup dedicated to addressing Bitcoin’s quantum computing threat. “The resource requirements for this type of attack keep dropping, and the barrier to running it in practice is dropping with them.” What was considered a far-fetched threat not too long ago has now taken centre stage. In January, Wall Street behemoths like BlackRock and $5 trillion UBS CEO Sergio Ermotti denounced the quantum threat, while developers turned a blind eye. Not anymore. After Google accelerated its timeline for quantum to 2029, Bitcoin maintainers have begun to think about ways to stave off the threat. Now there’s a proposal to freeze any quantum-exposed coins — including Satoshi Nakamoto’s purported 1.1 million stash. 6 bits to 15 bits Lelli’s record shatters its predecessor by seven months. In September 2025, Steve Tippeconnic broke a 6-bit cryptographic key on quantum hardware in what was considered the first public demonstration of its kind. By using a cloud-accessible quantum computer, Lelli broke a 15-bit key. Project Eleven awarded
Apr 24, 2026 · via dlnews.com
The following is a transcript of our April 13, 2026 interview with President Martin A. Schmidt ’81. The transcript has been cleaned up for clarity. The Poly: How are you? President Schmidt: I'm okay, yeah. So, you've spoken most recently at the Town Hall about RPI Forward as a model of financial resilience in the face of the 2039 demographic cliff. How much of this relies on expanding the student base and body versus internal cost cutting? So, what it's really about is at some level revenue diversification. So, what we're trying to do is stabilize enrollment management so we can have a predictable class coming in every year, and a lot of that is really just, strengthening our processes and practices. So, you know, we've hired a number of new people to support that, most notably Wendy Lin-Cook, who's now the [Vice Provost] of Enrollment Management. She brings a lot of experience from her time at Montclair State [University] and then also at New Jersey Institute of Technology, I believe. [She] brings a very data analytic face to things, and I think that was one of the things that we probably weren't doing enough on which is using data analysis and being able to send targeted messaging to people and then engage with them proactively. So, that's step one. The second one is increasing our capacity to talk about RPI and to tell our story. To that end, we’ve hired a new Chief Marketing Officer, the first time in the Institute’s history that we have this position filled. Dana Bodine, she comes to us having worked in a variety of industries, from The New York Times, to Time [Inc.]. to Apple and Mastercard. So, [she] brings a lot of experience there but I think it’s going to help us
Apr 24, 2026 · via poly.rpi.edu
Kun Liu and colleagues at Yale University present a new hardware-software co-design employing a 2D toric network to address limitations caused by restricted qubit connectivity. The architecture reduces the need for long-range couplers from linear to square root scaling and enables high-fidelity, low-latency two-qubit gates via dual-rail qubits and native gate operations. Circuit-level simulations incorporating realistic noise demonstrate a logical error rate of 3.06% for a bivariate bicycle code, representing a 2.6-fold improvement over previously reported experimental results and paving the way for practical, low-overhead fault-tolerant quantum computation. Reduced qubit connectivity achieves sharp gains in quantum error correction Error rates dropped to 3.06% for a bivariate bicycle (BB) code, a 2.6-fold improvement over existing experimental results and surpassing a key threshold for practical quantum error correction. Previously, achieving such low error rates demanded a linear scaling of long-range connections between qubits, hindering scalability. This new design reduces that requirement to a square root scaling, denoted as O(√n). A two-dimensional toric network of oscillators forms the basis of this advance, effectively acting as a reconfigurable communication fabric between qubits. The challenge in building scalable quantum computers lies significantly in mitigating the effects of noise and decoherence, which introduce errors into quantum computations. Quantum error correction (QEC) is crucial for overcoming these limitations, but implementing QEC requires complex codes and substantial overhead in terms of qubits and operations. Bivariate bicycle (BB) codes are a promising class of quantum low-density parity-check (LDPC) codes, offering advantages such as high encoding rates and large code distances compared to more established codes like surface codes. The code distance is a critical parameter, determining the number of physical qubits required to protect a single logical qubit and its ability to correct errors. However, a major impediment to realising BB codes is the need for numerous long-range connections
Apr 24, 2026 · via quantumzeitgeist.com
Researchers Bruno Avritzer and Nathan Sankary have developed a new method for reducing the complexity of quantum computations across multiple processors. The technique allocates qubits within a colour code family, achieving a 10% reduction in processor-nonlocal gates and offering potential for greater advantages as qubit numbers increase. It minimises operations susceptible to noise between quantum processors, addressing a key challenge in distributed quantum computing, and explores efficient strategies for universal gate sets including magic state distillation, code switching, and logical swaps. These advancements represent a strong step towards scalable and effective error correction in modular quantum architectures Distributed logical qubits enable sharp reductions in inter-processor communication complexity A ten percent reduction in processor-nonlocal gates, the connections between processing units in quantum computers, is now possible, a feat previously unattainable due to the challenges of minimising inter-processor communication. Scaling quantum computations beyond a limited size was previously hampered by the escalating complexity of these connections and the associated error rates. Quantum computers, unlike their classical counterparts, are profoundly susceptible to errors arising from environmental noise and imperfections in quantum control. As the number of qubits increases, so too does the probability of encountering these errors, making error correction paramount for reliable computation. Strategically distributing logical qubits, the fundamental units of quantum information encoded using multiple physical qubits for error protection, across multiple processors, rather than confining them to a single unit, offers benefits that increase alongside the number of qubits. This approach shifts the focus from managing error rates within a single, large processor to mitigating the errors introduced between processors during communication. More efficient methods for universal gate sets, including magic state distillation and code switching, are now enabled by this approach, opening avenues for more scalable and robust quantum computations. Distributing logical qubits across multiple processors reduces the number
Apr 24, 2026 · via quantumzeitgeist.com
Researchers at University of Edinburgh, led by Xiangyu Ren, have developed a new compilation scheme to enhance the reliability of photonic quantum computing. The advancement directly addresses a critical limitation within measurement-based quantum computation (MBQC), where probabilistic fusion operations are inherently vulnerable to both fusion failure and fusion erasure errors. Photon loss, a pervasive issue leading to fusion errors, can be substantially mitigated through optimised compilation strategies and the innovative use of quantum memory. Tree-encoded fusion surpasses photon loss limitations in silicon spin qubit systems A two-qubit fusion fidelity of 99.72% has been achieved, significantly exceeding a key threshold that previously constrained the scalability of photonic quantum computation. This level of accuracy, coupled with a silicon-based spin qubit quantum memory, facilitates the generation of more complex graph states than was previously attainable. Prior to this development, photon loss during fusion operations severely restricted the reliability and complexity of quantum programs. The newly developed compilation scheme, incorporating ‘tree-encoded fusion’, actively mitigates fusion erasure errors, which arise from lost photons, a problem that has been largely unaddressed by existing compilers such as OneAdapt. The significance of achieving such high fidelity lies in its potential to unlock more intricate quantum algorithms and larger-scale quantum processors. Six quantum algorithm benchmarks revealed an exponential performance improvement when compared to the OneAdapt compiler, a leading tool for all-photonic architectures. This substantial improvement highlights the efficacy of the tree-encoded fusion approach in optimising quantum program execution. Using a silicon-based spin qubit quantum memory, validation on real photonic quantum computing hardware confirmed the feasibility of this approach, successfully generating caterpillar states for efficient entanglement distribution. Caterpillar states are particularly useful as they represent a foundational resource for various quantum algorithms. This work builds upon initial successes by detailing the underlying mechanism for improved performance, moving beyond demonstrating improvement
Apr 24, 2026 · via quantumzeitgeist.com