Google Research has outlined how it tackles three major domains where foundational AI and science research are applied for tangible global effect, under a framework the team calls the ‘magic cycle’.
The three focus areas highlighted are fighting cancer with AI, quantum computing for medicines and materials, and understanding Earth at scale with Earth AI.
One of the flagship tools is DeepSomatic, an AI system developed to detect genetic variants in cancer cells that previous techniques missed. The tool partnered with a children’s hospital to identify ten new variants in childhood leukaemia samples. Significantly, DeepSomatic was applied to a brain cancer type it had never encountered before and still flagged likely causal variants.
Google Research is exploring the frontiers with its service chip (Willow) and algorithms like Quantum Echoes to simulate molecular behaviours with precision that classical computers struggle to reach. These efforts target improved medicines, better batteries and advanced materials by capturing quantum-scale phenomena.
Aiming to model complex interconnected systems, from weather and infrastructure to population vulnerability, the Earth AI initiative seeks to bring disparate geospatial data into unified systems. For example, predicting which communities are most at risk in a storm requires combining meteorological, infrastructure and socioeconomic data.
Google Research states that across these domains, research and applied work feed each other: foundational research leads to tools, which, when deployed, reveal new challenges that drive fresh research, the ‘magic cycle’.
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Caltech physicists have developed a groundbreaking neutral-atom quantum computer, trapping 6,100 caesium atoms as qubits in a single array. Published in Nature, the achievement marks the largest such system to date, surpassing previous arrays limited to hundreds of qubits.
The system maintains exceptional stability, with qubits coherent for 13 seconds and single-qubit operations achieving 99.98% accuracy. Using optical tweezers, researchers move atoms with precision while maintaining their superposition state, essential for reliable quantum computing.
The milestone highlights neutral-atom systems as strong contenders in quantum computing, offering dynamic reconfigurability compared to rigid hardware. The ability to rearrange qubits during computations paves the way for advanced error correction in future systems.
As global efforts intensify to scale quantum machines, Caltech’s work sets a new benchmark. The team aims to advance entanglement for full-scale computations, bringing practical quantum solutions closer for fields like chemistry and materials science.
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Researchers have reached a major milestone in quantum computing, demonstrating a task that surpasses the capabilities of classical machines. Using Quantinuum’s 12-qubit ion-trap system, they delivered the first permanent, provable example of quantum supremacy, settling a long-running debate.
The experiment addressed a communication-complexity problem in which one processor (Alice) prepared a state and another (Bob) measured it. After 10,000 trials, the team proved that no classical algorithm could match the quantum result with fewer than 62 bits, with equivalent performance requiring 330 bits.
Unlike earlier claims of quantum supremacy, later challenged by improved classical algorithms, the researchers say no future breakthrough can close this gap. Experts hailed the result as a rare proof of permanent quantum advantage and a significant step forward in the field.
However, like past demonstrations, the result has no immediate commercial application. It remains a proof-of-principle demonstration showing that quantum hardware can outperform classical machines under certain conditions, but it has yet to solve real-world problems.
Future work could strengthen the result by running Alice and Bob on separate devices to rule out interaction effects. Experts say the next step is achieving useful quantum supremacy, where quantum machines beat classical ones on problems with real-world value.
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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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