The rise of quantum computing is sparking fresh concerns over the long-term security of Bitcoin. Unlike classical systems, quantum machines could eventually break the cryptography protecting digital assets.
Experts warn that Shor’s algorithm, once run on a sufficiently powerful quantum computer, could recover private keys from public ones in hours, leaving exposed funds vulnerable. Analysts see the mid-to-late 2030s as the key period for cryptographically relevant breakthroughs.
ChatGPT-5’s probability model indicates less than a 5% chance of Bitcoin being cracked before 2030, but risk rises to 45–60% between 2035 and 2039, and nearly certainty by 2050. Sudden progress in large-scale, fault-tolerant qubits or government directives could accelerate the timeline.
Mitigation strategies include avoiding key reuse, auditing exposed addresses, and gradually shifting to post-quantum or hybrid cryptographic solutions. Experts suggest that critical migrations should be completed by the mid-2030s to secure the Bitcoin network against future quantum threats.
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Stablecoins have become central to the digital economy, with billions in daily transactions and stronger regulatory backing under the GENIUS Act. Yet experts warn that advances in quantum computing could undermine their very foundations.
Elliptic curve and RSA cryptography, widely used in stablecoin systems, are expected to be breakable once ‘Q-Day’ arrives. Quantum-equipped attackers could instantly derive private keys from public addresses, exposing entire networks to theft.
The immutability of blockchains makes upgrading cryptographic schemes especially challenging. Dormant wallets and legacy addresses may prove vulnerable, putting billions of dollars at risk if issuers fail to take action promptly.
Researchers highlight lattice-based and hash-based algorithms as viable ‘quantum-safe’ alternatives. Stablecoins built with crypto-agility, enabling seamless upgrades, will better adapt to new standards and avoid disruptive forks.
Regulators are also moving. NIST is finalising post-quantum cryptographic standards, and new rules will likely be established before 2030. Stablecoins that embed resilience today may set the global benchmark for digital trust in the quantum age.
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A new partnership between the federal government and New Mexico’s state and local businesses aims to establish the state as a leader in quantum computing.
The initiative will see the Defence Advanced Research Projects Agency (DARPA) working alongside local researchers and companies to develop and commercialise next-generation technology. A total of up to $120 million could be invested in the project over four years.
New Mexico’s selection for the project is due to its long history of innovation, its two national defence labs, and a high concentration of leading scientists in the field.
The goal is to harness the ‘brainpower’ of the state to build computers that can solve currently impossible problems, such as developing materials that resist corrosion or finding cures for diseases. One of the project’s aims is to test the technology and differentiate between genuine breakthroughs and mere hype.
Roadrunner Venture Studios will be assisting in developing new quantum computing businesses within the state. A successful venture would bring economic gains and jobs and position New Mexico to lead the nation in solving some of its most pressing challenges.
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IBM has announced plans to develop next-generation computing architectures by integrating quantum computers with high-performance computing, a concept it calls quantum-centric supercomputing.
The company is working with AMD to build scalable, open-source platforms that combine IBM’s quantum expertise with AMD’s strength in HPC and AI accelerators. The aim is to move beyond the limits of traditional computing and explore solutions to problems that classical systems cannot address alone.
Quantum computing uses qubits governed by quantum mechanics, offering a far richer computational space than binary bits. In a hybrid model, quantum machines could simulate atoms and molecules, while supercomputers powered by CPUs, GPUs, and AI manage large-scale data analysis.
Arvind Krishna, IBM’s CEO, said the approach represents a new way of simulating the natural world. AMD’s Lisa Su described high-performance computing as foundational to tackling global challenges, noting the partnership could accelerate discovery and innovation.
An initial demonstration is planned for later this year, showing IBM quantum computers working with AMD technologies. Both companies say open-source ecosystems like Qiskit will be crucial to building new algorithms and advancing fault-tolerant quantum systems.
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El Salvador, the first country to adopt bitcoin as legal tender, has restructured its national bitcoin holdings to strengthen security against potential future threats. The National Bitcoin Office (ONBTC) announced that the country’s 6,280 BTC, worth around $687 million, has been split across 14 new addresses, each holding no more than 500 BTC. Officials say this change reduces exposure to risks, including those that could arise from advances in quantum computing.
The concern stems from the possibility that quantum computers, once powerful enough, could break cryptographic protections and reveal private keys. While no such machine exists today, bitcoin developers have long debated the timeline of this threat. ONBTC also highlighted that avoiding address reuse improves security and privacy while allowing the government to maintain transparency.
The broader bitcoin community remains divided on the urgency of quantum risks. Some experts argue the issue is exaggerated, while others warn that the industry may have far less time than previously thought. A developer known as Hunter Beast recently cautioned that breakthroughs in IBM’s quantum experiments suggest the worst-case scenario could arrive within three years.
The bitcoin strategy of El Salvador continues to draw criticism from international institutions. The IMF, which approved a $3.5 billion loan to the country, insists that no new bitcoin purchases have been made this year and that the government is merely reshuffling its reserves. The ONBTC disputes this claim, maintaining that fresh purchases are still taking place despite pressure to scale back its cryptocurrency policies.
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IBM and AMD have launched a strategic collaboration to pioneer quantum-centric supercomputing architectures, blending IBM’s quantum computing capabilities with AMD’s strengths in high-performance computing (HPC), AI acceleration, CPUs, GPUs and FPGAs.
Their vision involves creating hybrid systems where quantum components handle atomic-scale or highly complex tasks, such as molecular simulation or optimization, while classical and infrastructure powered by AI processes large datasets efficiently.
The approach aims to unlock new levels of computational power. A demonstration of these hybrid workflows is scheduled for later this year.
Additionally, AMD’s technology may facilitate real-time error correction, a vital step toward achieving IBM’s goal of fault-tolerant quantum computing by the end of this decade.
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The United Kingdom has unveiled a strategy to grow its digital economy to £1 trillion by harnessing AI, quantum computing, and cybersecurity. The plan emphasises public-private partnerships, training, and international collaboration to tackle skills shortages and infrastructure gaps.
The initiative builds on the UK tech sector’s £1.2 trillion valuation, with regional hubs in cities such as Bristol and Manchester fuelling expansion in emerging technologies. Experts, however, warn that outdated systems and talent deficits could stall progress unless workforce development accelerates.
AI is central to the plan, with applications spanning healthcare and finance. Quantum computing also features, with investments in research and cybersecurity aimed at strengthening resilience against supply disruptions and future threats.
The government highlights sustainability as a priority, promoting renewable energy and circular economies to ensure digital growth aligns with environmental goals. Regional investment in blockchain, agri-tech, and micro-factories is expected to create jobs and diversify innovation-driven growth.
By pursuing these initiatives, the UK aims to establish itself as a leading global tech player alongside the US and China. Ethical frameworks and adaptive strategies will be key to maintaining public trust and competitiveness.
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US quantum computing firm Strangeworks has expanded its European presence by acquiring German company Quantagonia. The merger allows organisations to tackle complex planning and optimisation using classical, hybrid, quantum, and quantum-inspired technologies.
Quantagonia, founded in 2021, develops AI-powered, quantum-ready planning tools that combine optimisation, AI, and natural language interfaces. The technology enables experts and non-technical users to solve problems across industries, including life sciences, finance, energy, and logistics.
The acquisition removes barriers to advanced decision-making and opens new go-to-market opportunities in previously underserved sectors.
The combined entity will merge Quantagonia’s solver engine and AI decision-making tools with Strangeworks’ AI and quantum infrastructure. The approach lets enterprises run multiple solvers in parallel and solve problems using natural language without technical expertise.
Strangeworks has strengthened its strategic European foothold, adding to its recent expansion in India and existing operations in the US and APAC. Executives said the merger boosts global growth and broadens access to sophisticated optimisation tools.
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The researchers showed that their system could rearrange up to 2,024 rubidium atoms into precise grid patterns in just 60 milliseconds. By comparison, a previous attempt last year arranged 800 atoms without AI but required a full second.
To showcase the model’s speed, the team even used it to create an animated image of Schrödinger’s cat by guiding atoms into patterns with laser light.
Neutral atom arrays are one of the most promising approaches to building quantum computers, as the trapped atoms can maintain their fragile quantum states for relatively long periods.
The AI model was trained on different atom configurations and patterns of laser light, allowing it to quickly determine the most efficient hologram needed to reposition atoms into complex 2D and 3D shapes.
Experts in the field have welcomed the breakthrough. Mark Saffman, a physicist at the University of Wisconsin–Madison, noted that producing holograms for larger arrays usually requires intensive calculations.
The ability of AI to handle this process so efficiently, he said, left many colleagues ‘really impressed.’
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Chinese physicist Pan Jianwei’s team created the world’s largest atom array, arranging over 2,000 rubidium atoms for quantum computing. The breakthrough at the University of Science and Technology of China could enable atom-based quantum computers to scale to tens of thousands of qubits.
Researchers used AI and optical tweezers to position all atoms simultaneously, completing the array in 60 milliseconds. The system achieved 99.97 percent accuracy for single-qubit operations and 99.5 percent for two-qubit operations, with 99.92 percent accuracy in qubit state detection.
Atom-based quantum computing is more promising for its stability and control than superconducting circuits or trapped ions. Until now, arrays were limited to a few hundred atoms, as moving each into position individually was slow and challenging.
Future work aims to expand array sizes further using stronger lasers and faster light modulators. Researchers hope that perfectly arranging tens of thousands of atoms leads to fully reliable and scalable quantum computers.
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