Cloudflare aims to make its entire platform fully post-quantum secure by 2029 at the latest, including authentication systems. The revised timeline follows new developments in quantum computing that suggest existing cryptographic standards may be cracked sooner than expected. The reason is concrete. Research by Google and Oratomic shows that algorithms and hardware can break widely used encryption methods, including RSA-2048 and elliptic curve cryptography. Cloudflare views this as evidence that the arrival of “Q-day”—the moment when quantum computers can break current encryption—is drawing nearer. Some projections place that moment as early as the end of this decade. Cloudflare points to progress on three parallel fronts: quantum hardware, error correction, and quantum algorithms. Improvements in areas such as neutral-atom architectures and more efficient error correction reduce the resources required to break encryption. Advances in algorithms simultaneously lower computational complexity. According to the company, the combination of these three factors makes the threat landscape more dangerous sooner than previously thought. Authentication as a New Priority For a long time, the focus was on protecting encrypted data against “harvest now, decrypt later” attacks. But now that the timeline is shortening, the risk is shifting to authentication. Quantum attackers could then forge login credentials and gain direct access to systems. That makes the problem even more concrete. Migrating to post-quantum authentication is more complex than rolling out post-quantum encryption, due to dependencies on long-lived keys, third-party systems, and certificate infrastructure. Cloudflare also emphasizes that legacy cryptographic systems must be completely disabled to prevent downgrade attacks. The company has already rolled out post-quantum encryption across a large portion of its network. More than half of the human traffic that Cloudflare processes now uses post-quantum key agreement. Post-quantum authentication support will follow in 2026, with a broader rollout across the platform in 2028. By 2029, all
Apr 7, 2026 · via techzine.eu
IQM Quantum Computers has entered into a commercial agreement with Galaxy Systemy Informatyczne for the on-premises delivery of an IQM Radiance 54-qubit system. Scheduled for installation at Galaxy’s data center in Zielona Góra, Poland, in the fourth quarter of 2026, the superconducting quantum computer will be integrated with the firm’s existing High-Performance Computing (HPC) infrastructure. This transaction represents an instance of direct hardware procurement by a private IT service provider, following IQM’s previous deployments at public research hubs such as LRZ in Germany and CINECA in Italy. The acquisition is intended to provide Galaxy with a dedicated hardware environment to support internal R&D and secure data processing. By maintaining the 54-qubit system on-site, the company aims to reduce its reliance on external cloud-based quantum services and manage the security of sensitive workloads in-house. Galaxy has identified several target application areas for the system, including space technologies, financial market modeling, and energy grid optimization. The integration of quantum resources into their existing HPC stack is designed to facilitate the development of hybrid algorithms for these industrial sectors. This deployment follows IQM’s established roadmap for its Radiance line, which utilizes a superconducting transmon architecture with tunable couplers. To date, IQM has sold 21 quantum systems to 13 customers globally, primarily within the academic and national laboratory sectors. The Zielo Góra installation will add to Poland’s technical infrastructure, leveraging the region’s existing expertise in mathematics and physics. As the hardware is scheduled for commissioning in late 2026, the focus for both entities will remain on the engineering requirements of the site installation and the subsequent calibration of the system’s gate fidelities. For the technical announcement regarding the Galaxy deployment and IQM’s system specifications, consult the official release here. April 7, 2026 Leave A Comment
Apr 7, 2026 · via quantumcomputingreport.com
Grayscale head of research Zach Pandl argues that Bitcoin’s biggest obstacle to surviving the quantum computing era isn’t finding a technical solution — it’s getting the community to agree on one. Pandl noted that Bitcoin actually carries lower quantum risk than most other cryptocurrencies, thanks to its UTXO model, proof-of-work consensus, and the fact that certain address types aren’t quantum vulnerable at all. Three options, one hard choice The central debate revolves around roughly 1.7 million BTC sitting in early P2PK addresses — including Satoshi’s estimated 1 million BTC stash, worth around $68 billion — where private keys are lost or inaccessible. Pandl laid out three paths the community could take: burn the coins, deliberately slow their release by rate-limiting spending from vulnerable addresses, or do nothing. He wrote: “All are conceptually doable, but the challenge is reaching a decision, and the Bitcoin community has a history of contentious debates over protocol changes, including last year’s dispute around image data stored in blocks.” Mow warns against rushing the fix Samson Mow, Bitcoin advocate and Jan3 founder, pushed back against calls from Coinbase executives to accelerate the move to post-quantum cryptography, arguing that speed could create more problems than it solves. His concern is that a rushed transition could expose Bitcoin to present-day threats before it ever neutralizes future ones. He stated: “Simply put: make Bitcoin safe against quantum computers just to get pwned by normal computers.” Mow also flagged a concrete technical cost: post-quantum signatures could be 10–125x larger than current ones, massively reducing network throughput and potentially reigniting a debate reminiscent of Bitcoin’s block size wars of 2015–2017. Work should continue, just not rushed Despite opposing a rushed transition, Mow was clear that preparation shouldn’t stop entirely. He said: “Given that quantum computers don’t actually exist and likely won’t
Apr 7, 2026 · via bitbo.io
Abstract Variational quantum algorithms (VQAs) are constrained by a trade-off: deeper circuits can cover a larger reachable quantum states but suffer from barren plateaus, while shallow circuits remain trainable yet can have insufficient reachability to the target state. Here, we propose a general framework to address this challenge by enhancing the VQA performance with a designed input state constructed using a linear combination technique. This approach modifies the set of states reachable by the original circuit, enhancing accuracy while preserving efficiency. We provide a rigorous proof that such framework increases the performance of any given VQA ansatz, and demonstrate its broad applicability across different ansatz families. In ground state preparation for representative quantum many-body models, it achieves consistently higher accuracy than standard methods at the same gate budget. These results highlight input-state design as a powerful complement to circuit design for improving reachability of the target state within a fixed ansatz. Data availability The data supporting the findings of this study are available from the corresponding author, Xiaoting Wang, upon request. Code availability The code used in this study is available from the corresponding author, Xiaoting Wang, upon request. References Preskill, J. Quantum computing in the NISQ era and beyond. Quantum 2, 79 (2018). Bharti, K. et al. Noisy intermediate-scale quantum algorithms. Rev. Mod. Phys. 94, 015004 (2022). Tilly, J. et al. The variational quantum eigensolver: a review of methods and best practices. Phys. Rep. 986, 1–128 (2022). Fedorov, D. A., Peng, B., Govind, N. & Alexeev, Y. Vqe method: a short survey and recent developments. Mater. Theory 6, 2 (2022). Cerezo, M. et al. Variational quantum algorithms. Nat. Rev. Phys. 3, 625–644 (2021). Cerezo, M., Verdon, G., Huang, H.-Y., Cincio, L. & Coles, P. J. Challenges and opportunities in quantum machine learning. Nat. Comput. Sci. 2, 567–576 (2022). Bharti,
Apr 7, 2026 · via nature.com
Quantum computers are often described as the supercharged engines of the future — machines capable of solving certain problems that are classically intractable for today’s most powerful computers. But there’s a catch: even the most advanced quantum computers cannot yet easily communicate with one another over long distances. “It’s like building a network of high-capacity power plants without the transmission lines needed to connect them into a grid,” said Yanan (Laura) Wang, assistant professor of electrical and computer engineering at the University of Nebraska–Lincoln, who is working to build that missing piece with support from one of the U.S. Department of Energy’s most competitive grant programs. Wang received a five-year, $876,663 Early Career Research Program award, which runs through August 2030. The objective is to solve one of the most challenging engineering problems in quantum technology. Today’s quantum computers, developed by industry leaders like IBM and Google, operate using microwave frequency signals, while quantum communication systems — needed to link those computers together — use light at frequencies hundreds of thousands of times higher. “The computation unit and the communication unit have this huge frequency mismatch,” Wang said. “That’s why it requires a bridge to transfer the information between those two.” Without that connection, a true quantum network — the equivalent of the internet for quantum machines — remains out of reach. Wang’s solution centers on quantum grade mechanical resonators and waveguides, devices capable of interacting with both microwave and optical signals. Her team will build these devices using van der Waals-layered crystals, a family of materials that includes graphene and other atomically thin semiconductors. These materials can be peeled down to a single atomic layer while retaining exceptional strength, making them ideal for high performance mechanical devices. “They are just atomically thin … but the in-plane covalent bonds are
Apr 7, 2026 · via news.unl.edu
A Sydney researcher’s “blueprint” for quantum computing error correction developed while on an industry placement at IBM has been adopted by the global tech giant. In a paper published last week in Nature Physics, University of Sydney School of Physics’s Dr Dominic Williamson and IBM researcher Theodore Yoder outlined a new approach to quantum error correction that may speed up the journey to developing reliable quantum computers. Williamson completed this research while on a sabbatical working with IBM’s Quantum Information Theory and Error Correction group in California. The new approach has now been integrated into IBM’s long-term plan to build the world’s first large-scale, fault-tolerant quantum computer by 2029. ‘Theory and experiment are beginning to align’ Quantum computing utilises the ‘superposition’ and ‘destructive inference’ of matter in a quantum state, allowing for new forms of computing to solve problems across industries, beyond the scope of classical computers. Quantum computing promises huge advantages, but the fragile nature of quantum states mean that even the most minor issue can collapse a superposition into a classical state, removing the quantum advantage. “Any unintended interaction with the environment can destroy the very quantum effects that give [quantum computers] their power,” Williamson said. Williamson and Yoder’s research has detailed a new approach to error correction, which aims to overcome this fragility using so-called ‘gauge theory’. This effectively allows a system to keep track of global activity, like across a “quantum hard drive”, without forcing specific quantum states to collapse at the individual qubit level. “Gauge theory introduces additional degrees of freedom that track global properties without forcing the system into a definite local state,” Williamson said. “We realised a similar idea could be used to process logical quantum information. “A gauge is just a mathematical construct that provides a set of local coordinates for any
Apr 7, 2026 · via ia.acs.org.au
Is your phone gross? Watch this Iyaz explains how to safely de-grime and disinfect your phone and earbuds. But the cleaning doesn't stop there. Now it's time to get rid of some apps. We show you built-in tools on Android and iOS that help you make the tough choices. Up Next AirPods Pro vs. the competition: $30 to $150 challengers | All Things Mobile AirPods Pro vs. the competition: $30 to $150 challengers | All Things Mobile Samsung's Galaxy A37 and A57 bring AI features to the lower-cost phone line Samsung's Galaxy A37 and A57 bring AI features to the lower-cost phone line The settings to unlock your iPhone's professional camera mode The settings to unlock your iPhone's professional camera mode Sony WF-1000XM6 vs. Samsung Galaxy Buds 4 Pro earbuds: Heated rivalry Sony WF-1000XM6 vs. Samsung Galaxy Buds 4 Pro earbuds: Heated rivalry Latest How to disable automatic content recognition and data tracking on your smart TV How to disable automatic content recognition and data tracking on your smart TV NASA's Artemis II Orion capsule circles the moon NASA's Artemis II Orion capsule circles the moon Google's new warning about quantum hackers and the threat to crypto Google's new warning about quantum hackers and the threat to crypto Everything you can do with the Samsung Galaxy Buds 4 Pro Everything you can do with the Samsung Galaxy Buds 4 Pro How 'Avatar: Fire and Ash' filmed every shot possible at once How 'Avatar: Fire and Ash' filmed every shot possible at once I Met Disney's New Robot Olaf I Met Disney's New Robot Olaf Testing the MacBook Neo on 8K video and raw photos | Lab Report Testing the MacBook Neo on 8K video and raw photos | Lab Report NASA's Artemis II launches to the moon NASA's Artemis II
Apr 7, 2026 · via zdnet.com
Alex Pruden: Quantum computing threatens elliptic curve cryptography, advancements could lead to utility-scale systems by decade’s end, and the urgent need for post-quantum security solutions | Unchained Quantum computing's rapid progress threatens blockchain security, demanding urgent new cryptographic solutions. Key Takeaways - Quantum computing poses a significant threat to the security of elliptic curve cryptography, which underpins many digital assets. - The timeline for quantum computing’s impact on cryptography is accelerating, with practical applications expected sooner than previously thought. - Recent advancements have drastically reduced the number of qubits needed for error-corrected quantum computers, indicating faster progress. - A utility-scale quantum computer could potentially be developed by the end of the decade, impacting cryptographic security. - Building a fault-tolerant quantum computer is a complex process that requires significant time and resources. - There is a divergence in optimism between the physics and cryptography communities regarding quantum computing’s potential. - The reliance on elliptic curve cryptography is critical for blockchain security, making quantum threats particularly concerning. - The probability of quantum computing impacting cryptography by the end of the decade is significant. - Quantum computers could soon become cryptographically relevant, posing a challenge to existing security systems. - The reduction in qubits needed for quantum computing represents a major breakthrough in the field. - Quantum advancements could disrupt current cryptographic methods, necessitating new security solutions. - The development of quantum computing is progressing rapidly, with implications for digital asset security. Guest intro Alex Pruden is the Co-Founder and CEO of Aleo, a layer-1 blockchain protocol that uses zero-knowledge cryptography for privacy-preserving applications. Previously, he served as a Deal Partner at Andreessen Horowitz, focusing on blockchain and crypto investments. His expertise in zero-knowledge proofs positions him to address quantum threats to blockchain security. The vulnerabilities of elliptic curve cryptography - The vulnerabilities
Apr 7, 2026 · via cryptobriefing.com
Lloyds Bank has been experimenting with quantum computing to improve financial crime prevention, in an early test of whether the technology can deliver practical benefits for banks. The bank tested whether quantum algorithms could spot money mule behaviour within a large collection of transactions, a task that traditional computers tend to struggle with due to the complexity of detecting subtle patterns within large-scale transaction data. The algorithms, which ran on one of IBM’s 156-qubit quantum computers, successfully identified a money mule — a bank account used to transfer stolen money — which had been deliberately placed within the data. “While quantum computing is still emerging, this experiment has allowed us to translate research into practical insights,” Ron van Kemenade, chief operating officer at Lloyds Banking Group, said. Quantum computing is a rapidly growing area of innovation. Researchers hope that it will be able to perform a number of tasks — such as cryptography and drug discovery — far more efficiently than classical computers. Whereas traditional computers process information as binary bits, either 0 or 1, the quantum equivalent — the qubit — can be both 0 and 1 at the same time, enabling the computer to explore multiple options simultaneously. Qubits can also become “entangled” with one another, which means different ones become very tightly correlated. When this happens, the measurement of one qubit can instantly reveal information about the other qubits with which it is entangled, allowing quantum computers to represent and manipulate complex relationships across many variables at once. Many existing models are prohibitively expensive, error-prone and highly sensitive to broader environmental factors, making them extremely challenging to build and scale, but the technology is seen as a huge potential growth area. According to Oxford Economics, quantum technology could add up to £212 billion to Britain’s GDP by
Apr 7, 2026 · via thetimes.com
Wang earns DOE Early Career award to build ‘bridge’ for quantum superhighways
Yanan (Laura) Wang, assistant professor of electrical and computer engineering, received a three-year, $876,663 grant from the Department of Energy Early Career Research program to support development of a “bridge” that enables individual quantum computers to communicate and network more easily.
Apr 6, 2026 · via newsroom.unl.edu
Lightning Network ‘Helplessly Broken’ Against Quantum Computers, Warns Udi Wertheimer Crypto analyst and Taproot developer Udi Wertheimer has stated that the Lightning Network is fundamentally vulnerable in a post-quantum scenario and claimed that its design leaves user funds exposed in ways that cannot be mitigated under current assumptions. According to Wertheimer, the core issue stems from how public and private keys function in cryptocurrency systems. While traditional cryptography relies on the idea that private keys cannot be derived from public keys, he explained that sufficiently advanced quantum computers, which are known as cryptographically relevant quantum computers (CRQCs), could break this assumption by calculating private keys directly from public ones. Lightning’s Weak Spot In most on-chain Bitcoin usage, users can reduce exposure by avoiding address reuse, which helps keep public keys from being exposed unnecessarily. However, Wertheimer argued that this defense does not apply to the Lightning Network, where public keys must be shared as part of its basic operation. Lightning relies on payment channels, which are essentially multi-signature arrangements between two parties. To open and maintain these channels, participants exchange public keys with counterparties. As a result, these keys are not only exposed but also stored by third parties, sometimes without users fully knowing who controls the infrastructure behind their channels. As such, if any entity holding these public keys gains access to a CRQC, or if such data is leaked to an entity that does, then private keys could be derived without user interaction, thereby enabling the theft of funds. Wertheimer further claimed that such an attack would not require the high-speed quantum capabilities often discussed in theoretical scenarios, as there would be no need to intercept transactions in real time. Instead, attackers could work offline using already available public key data. The problem is compounded by the opaque
Apr 6, 2026 · via cryptopotato.com
Intel Capital has invested in Q-Factor, a quantum computing company aiming to build a million-qubit computer using neutral atom technology. Founded by physicists from the Weizmann Institute and the Technion, Israel Institute of Technology, Q-Factor secured $24 million in seed funding led by NFX and TPY Capital, alongside grants from the Israel Innovation Authority. The company intends to overcome limitations hindering current quantum computers, which remain too small to provide practical commercial value; Q-Factor’s approach focuses on scaling beyond the few thousand qubits currently achievable. “The quantum computing industry needs a substantial change, not just incremental improvements,” said Prof. Ofer Firstenberg, Q-Factor’s co-founder and chief scientist, asserting that incremental improvements will not bridge the gap to useful computation. Neutral Atom Architecture Targets Million-Qubit Scalability Q-Factor has secured $24 million in seed funding to pursue an ambitious goal: building a quantum computer capable of exceeding one million qubits. Unlike superconducting or trapped ion approaches, neutral atoms offer inherent advantages in coherence and control, utilizing light-based manipulation rather than relying on extreme cooling or intricate wiring. Despite these benefits, existing neutral atom platforms struggle to scale beyond a few thousand qubits, a critical barrier to achieving practical quantum computation. The founders of Q-Factor identified specific architectural bottlenecks preventing substantial increases in qubit count, leading them to develop a novel approach designed for continuous scalability. This is not simply about incremental improvements to existing designs; the team believes a fundamental shift is necessary to realize the full potential of quantum computing. Ofer Firstenberg, co-founder and chief scientist of Q-Factor, explained, “Current systems are too small to deliver on the promise of quantum computing, and incremental improvements alone aren’t going to close that gap. We’ve developed an architecture designed for continuous scalability, a trajectory that can take neutral atom systems from thousands of qubits
Apr 6, 2026 · via quantumzeitgeist.com
Abstract Hamiltonian simulation is a fundamental algorithm in quantum computing that has attracted considerable interest owing to its potential to efficiently solve the governing equations of large-scale classical systems. Exponential speedup through Hamiltonian simulation has been rigorously demonstrated in the case of coupled harmonic oscillators. The question arises as to whether Hamiltonian simulations in other physical systems also accelerate exponentially. Schrödingerization is a technique that transforms the governing equations of classical systems into the Schrödinger equation. However, since the Schrödinger equation is a linear equation, Hamiltonian simulation is often limited to linear equations. The research on Hamiltonian simulation methods for nonlinear governing equations remains relatively limited. In this study, we propose a Hamiltonian simulation method for nonlinear partial differential equations (PDEs). The proposed method is named Carleman linearization + Schrödingerization (CLS), which combines Carleman linearization (CL) and warped phase transformation (WPT). CL is first applied to transform a nonlinear PDE into a linear differential equation. This linearized equation is then mapped to the Schrödinger equation via WPT. The original nonlinear PDE can be solved efficiently by the Hamiltonian simulation of the resulting Schrödinger equation. By applying this method, we transform the original governing equation into the Schrödinger equation. Solving the transformed Schrödinger equation then enables the analysis of the original nonlinear equation. As a specific application, we apply this method to the nonlinear reaction–diffusion equation to demonstrate that Hamiltonian simulations are applicable to nonlinear PDEs. Data availability The datasets generated and/or analysed during the current study are available in the \(\hbox {CLS}\_\hbox {dataset}\) repository, https://github.com/mmc-research-group/CLS_dataset. References Sato, Y., Kondo, R., Hamamura, I., Onodera, T. & Yamamoto, N. Hamiltonian simulation for hyperbolic partial differential equations by scalable quantum circuits. Phys. Rev. Res. 6, 033246. https://doi.org/10.1103/PhysRevResearch.6.033246 (2024). Sato, Y., Tezuka, H., Kondo, R. & Yamamoto, N. Quantum algorithm for partial differential equations
Apr 6, 2026 · via nature.com
The U.S. government has laid out a plan to switch its encryption codes to new ones that are safe from quantum computers by 2035. But some researchers believe that we may need to act more quickly. Google recently announced that it aims to switch by 2029. https://lnkd.in/eSF42XsD
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Apr 6, 2026 · via linkedin.com
[co-author: Sofia D'Amico] On 17 March 2026, the Italian Competition Authority (“ICA”) announced the opening of sector inquiry, accompanied by a parallel public consultation (the “QC inquiry”), to examine the competitive dynamics of quantum computing (“QC”) and related markets. Interested stakeholders may submit observations by 30 April 2026. While the QC inquiry was launched by the ICA on its own initiative, it is not an isolated national exercise. Rather, it seems to reflect a broader policy direction set at EU level, where QC is recognised as a strategic technology for Europe's competitive-ness, economic security and technological sovereignty. Within that framework, the QC inquiry provides an example of how competition policy is increasingly deployed pre-emptively, to ensure that antitrust risks do not become structural barriers to the development of emerging deep tech markets. Key takeaways: - Addressing antitrust risks in the QC sector is a competition policy priority. The ICA’s market investigation and public consultation reflect a broader EU policy focus on antitrust risks as potential barriers to the development of strategic deep‑tech markets. - Pre‑emptive antitrust approach. Consistent with the EU Quantum Europe Strategy and Competitiveness Compass, the ICA is intervening early to preserve openness, contestability and innovation, and avoid the crystallization of anticompetitive dynamics in the QC sector. - Antitrust scrutiny will shape the QC ecosystem. Cloud gatekeeping, lock‑in risks, patent pre‑emption and early acquisitions are the primary focus of the ICA’s antitrust scrutiny. - Antitrust compliance should form an integral part of quantum planning, including IP management, partnerships, cloud arrangements and M&A. QC, EU industrial policy and the role of competition law Over the past year, policy-makers at the EU and Member States’ levels have significantly intensified their focus on QC. The Quantum Europe Strategy of 2 July 2025 establishes the overarching framework for quantum related initiatives, with
Apr 6, 2026 · via jdsupra.com
IonQ (IONQ 0.20%) is one of the leading quantum computing investment opportunities today. It generates the most revenue of any of this industry niche's pure plays and seems to hold a technological advantage as well, making it a smart stock pick in this cutting-edge sector. However, it's doing quantum computing differently from everyone else. It's utilizing a technique known as trapped ion, and it just might be its secret weapon in the quantum computing arms race. The trapped ion approach yields far better results than other methods The biggest issue facing quantum computing right now is accuracy. If quantum computers were perfectly accurate, we'd already be using the technology all over the place. There's also no generally accepted way to conduct quantum computing. The basics involve using a particle's quantum mechanics to perform computing operations, but how each competitor controls the particle varies widely. IonQ utilizes trapped ion technology, which is unique from other methods. One common notion that all quantum computing companies have discovered is that letting qubits interact with each other increases accuracy. More common methods, like superconducting, only allow the qubit to interact with its neighbors. However, the trapped ion architecture allows every qubit in the system to interact with each other, leading to supreme accuracy. NYSE: IONQ Key Data Points This has led to IonQ setting a world record in quantum computing accuracy, achieving a 99.99% two-qubit gate fidelity score in October of last year. While this occurred in an R&D setting, IonQ's target is to reach this threshold in its 256-qubit system this year. If IonQ can achieve this, then it will be one step closer to providing a commercially viable system quicker than most investors believe it will happen. It'll also put it way in front of the competition, as IonQ would have one
Apr 6, 2026 · via fool.com
Researchers from Quanscient, a leader in cloud-based multiphysics simulation technology and quantum algorithms, and Haiqu, a leading developer of quantum middleware, today announced a new algorithm that can significantly advance the use of quantum computing in real-world engineering applications. The teams conducted a 15-step nonlinear fluid benchmark with an obstacle, making this the most physically complex, publicly documented variant of a Quantum Lattice Boltzmann Method (QLBM) hardware demonstration to date. Developed and tested on IBMs largest-available quantum computer, the IBM Heron R3, the algorithm reduces the number of qubits required to run complex simulations in computational fluid dynamics (CFD) on quantum computers, demonstrating a viable path toward future industrial-scale solutions. CFD is widely used to model how air, water, and other fluids behave around objects, such as airflow over an aircraft wing. It plays a critical role in product development and testing across industries, including aerospace, automotive, and energy. However, these simulations are extremely demanding for even today’s most powerful supercomputers, often taking days or even weeks to complete, if possible at all. The new algorithm addresses one of the key challenges in applying quantum computing to CFD: high resource requirements. By significantly reducing the number of qubits and computational operations needed, this approach makes it more practical to run complex simulations on quantum computers. It demonstrates a more efficient path toward using quantum systems for real-world applications, and ultimately could help companies design better products and optimize complex systems more quickly. “This is an interesting and timely contribution to quantum CFD,” said Oleksandr Kyriienko, Professor and Chair in Quantum Technologies at the University of Sheffield. “It proposes a more flexible quantum LBM framework while keeping the core algorithm efficient, and it strengthens the case with applications ranging from linear acoustics to IBM-QPU-assisted nonlinear flow simulations. We need more works
Apr 6, 2026 · via azoquantum.com
QuiX Quantum, a leading provider of photonic quantum computing hardware, today announced it has demonstrated “below threshold” error mitigation for the first time on a photonic quantum computer, suppressing physical qubit errors to the level compatible with scalable, fault-tolerant quantum computing. The achievement also marks the first time a European company has demonstrated a production-ready method of error reduction, demonstrating the scalability of the QuiX quantum computing platform based on photonics. The project was conducted on the QuiX Bia™ Cloud Quantum Computing Service in collaboration with NASA’s Quantum Artificial Intelligence Laboratory, the University of Twente, and Freie Universität Berlin. Quantum information is fragile, and without error correction, a computation of any user-relevant size will be impossible. For this reason, the ability to control errors in the quantum state is seen as a crucial milestone for any of the competing computing platforms. Increasingly, experts consider the ability to deal with such errors as the crucial differentiator between different technological approaches. For such a protocol to be meaningful, it must meet two conditions: it must remove more errors than it introduces, and it must not impede the operation of the rest of the computer. QuiX is the first party in photonics to demonstrate a protocol that meets both requirements simultaneously. The findings are described in a paper available at https://arxiv.org/abs/2601.05947 which is currently undergoing peer review. “Below-threshold, physical error mitigation has never been implemented in a photonic quantum computer. This achievement marks a significant milestone and places QuiX Quantum at the forefront of progress toward fault-tolerant photonic quantum computing,” said Stefan Hengesbach, CEO of QuiX Quantum. “We believe the most resource-efficient strategy is to reduce errors early rather than correct them at great expense – and by demonstrating net positive error mitigation on real hardware, we’ve taken a foundational step that showcases
Apr 6, 2026 · via azoquantum.com
"Bitcoin must achieve quantum resistance within 5–10 years…long-term surge possible afterward" Summary - On-chain analyst Willy Woo said that if Bitcoin resolves the post-quantum issue within the next 5–10 years, competing assets could disappear. - Woo said he assesses that gold’s scarcity could be weakened by technological advances, potentially causing it to lose competitiveness within 15–20 years. - He said he presented the possibility of a mega rally in which Bitcoin trades sideways in the tens of thousands to hundreds of thousands of dollars for 8–12 years, then surges to the millions of dollars around the 12–16 year mark. Forecast Trend Report by Period A forecast suggests that if Bitcoin (BTC) overcomes quantum-computing risks within the next 5–10 years, it could enter a major long-term upcycle. On-chain analyst Willy Woo said on X on the 5th (local time) that "Bitcoin must resolve the post-quantum issue within the next 5–10 years, and if it clears that hurdle, competing assets could effectively disappear." He also assessed that gold could lose competitiveness within the next 15–20 years as technological advances undermine its scarcity. As for Bitcoin’s price trajectory, he laid out a scenario of a sharp rally after a prolonged range. Woo projected that "Bitcoin could trade sideways in the tens of thousands to hundreds of thousands of dollars for the next 8–12 years, but around the 12–16 year mark, a 'mega rally' could emerge, spiking into the millions of dollars." This outlook is interpreted as analysis focused less on short-term price volatility and more on whether key technical risks are resolved and on long-term structural shifts. Suehyeon Lee shlee@bloomingbit.ioI'm reporter Suehyeon Lee, your Web3 Moderator.
Apr 6, 2026 · via en.bloomingbit.io
Crypto Preps for Looming Q-Day Predicted by Google Coinbase CEO Brian Armstrong said last week in response to Google’s paper that “we all need to solve it sooner rather than later.” Sign up for smart news, insights, and analysis on the biggest financial stories of the day. On the upside, advanced quantum computers could crack that 12-word seed phrase from 2013 that was scribbled on a piece of paper your mom threw out. But that level of encrypting ability can also unravel cryptocurrency’s core security … womp womp. Q-Day is the Y2K-esque time when quantum computers become advanced enough to decode all cryptography. Google recently warned it could be coming for cryptocurrency before the decade’s out. In a new paper, researchers wrote that quantum computers would need fewer than 500,000 physical qubits to break through bitcoin and other cryptocurrencies — 20 times fewer than previous estimates. Google researchers noted that 6.9 million public bitcoin keys are already exposed, leaving them wide open for quantum computers to crack at their leisure. There’s also a ~10-minute window when public keys are exposed during transactions, and the researchers said advanced quantum computers will be able to wheedle out a private key from a public one in nine to 12 minutes. Quantum Safety 101 Google is pushing companies to transition to post-quantum cryptography, which uses algorithms that quantum computers can’t easily crack. In PQC, a quantum computer may have to try to solve for, for instance, a vector in a thousand-dimensional lattice. Developers are debating how to push crypto toward quantum-proof practices: - The Bitcoin Improvement Proposal (BIP)-360 aims to provide a way for bitcoin owners with older wallets to opt in to move their holdings to safer addresses. Another idea, the Hourglass proposal, would restrict how quickly older coins can be spent to
Apr 6, 2026 · via thedailyupside.com