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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According to Science and Technology Daily, Chinese researchers have reported a breakthrough in quantum drug discovery using edge encoding. Origin Quantum, USTC, and the Hefei AI Institute built a quantum-embedded graph neural network (GNN) to predict drug-molecule properties.
In drug development, graph neural networks model molecules as atoms and bonds. Classical and some quantum approaches handle atoms well but struggle with bonds. The gap limits accuracy and screening speed.
The team from China introduced quantum edge and node embeddings to process bonds and atoms simultaneously at the quantum level. The quantum-embedded GNN unifies both signals in one pass. Results show sharper predictions for the properties of candidate drugs.
Validation on the Origin Wukong quantum computer indicates stable performance despite today’s noisy hardware. Benchmarking suggests efficiency gains for molecular screening pipelines. Researchers say the approach is production-oriented as devices scale.
Findings appear in the Journal of Chemical Information and Modelling. Collaboration highlights China’s push to integrate quantum computing with biopharmaceutical research and development. More exhaustive testing on larger qubit counts is anticipated.
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Quantum computing is set to shift from theory to real-world applications in 2025, driven by breakthroughs from Google and IBM. With error-corrected qubits and faster processing, the market is projected to reach $292 billion by 2035.
New chips, such as Google’s Willow, have significantly reduced errors, while interconnect innovations link multiple processors. Hybrid quantum-classical systems are emerging, with AI refining results for logistics, energy grids, and secure financial transactions.
The technology is accelerating drug discovery, climate modelling, and materials science, cutting R&D timelines and improving simulation accuracy. Global firms like Pasqal are scaling production in Saudi Arabia and South Korea, even as geopolitical tensions rise.
Risks remain high, from the energy demands of quantum data centres to threats against current encryption. Experts urge rapid adoption of post-quantum cryptography and fault-tolerant systems before mass deployment.
As the UN marks 2025 as the International Year of Quantum Science, quantum computing is quietly being integrated into operations worldwide, solving problems that surpass those of classical machines. The revolution has begun, largely unnoticed but poised to redefine economies and technology.
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Fujitsu has officially embarked on developing a superconducting quantum computer capable of exceeding 10,000 physical qubits, aiming to complete construction by fiscal 2030. The system will feature approximately 250 logical qubits and leverage the firm’s internally developed ‘STAR architecture’ for early-stage fault-tolerant quantum computing.
Japan’s National Energy and Industrial Technology Organization (NEDO) supports the project under its Post‑5G Infrastructure development program through 2027, alongside collaboration with AIST and RIKEN. Development efforts concentrate on key scaling challenges: precise qubit production, interconnect wiring, dense cryogenic packaging, cost-effective control systems, and error-correction methods.
Beyond 2030, Fujitsu aims to fuse superconducting and diamond spin-based qubits to deliver a 1,000-logical-qubit system by fiscal 2035. The roadmap anticipates designing multi-chip quantum systems to push beyond current limitations in scale and reliability.
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Riverlane has deployed its Deltaflow 2 quantum error correction (QEC) technology in a UK commercial quantum setting for the first time. The system introduces streaming quantum memory, enabling real-time error correction fast enough to preserve data across thousands of operations.
Deltaflow 2 combines a custom QEC chip with FPGA hardware and Riverlane’s software stack, supporting superconducting, spin, trapped-ion, and neutral-atom qubit platforms. It has been integrated with high-performance classical systems and a digital twin for noise simulation and monitoring.
Control hardware from Qblox delivers high-fidelity readout and ultra-low-latency links to enable real-time QEC. The deployment will validate error correction routines and benchmark system performance, forming the basis for future integration with OQC’s superconducting qubits.
The project is part of the UK Government-funded DECIDE programme, which aims to strengthen national capability in quantum error correction. Riverlane and OQC plan to demonstrate live QEC during quantum operations, supporting the creation of logical qubits for scalable systems.
Riverlane is also partnering with Infleqtion, Rigetti Computing, and others through the UK’s National Quantum Computing Centre. The company says growing industry demand reflects QEC’s shift from research to deployment, positioning Deltaflow 2 as a commercially viable, universally compatible tool.
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The journal Science will replace an editorial expression of concern (EEoC) on a 2020 Microsoft quantum computing paper with a correction. The update notes incomplete explanations of device tuning and partial data disclosure, but no misconduct.
Co-author Charles Marcus welcomed the decision but lamented the four-year dispute.
Sergey Frolov, who raised concerns about data selection, disagrees with the correction and believes the paper should be retracted. The debate centres on Microsoft’s claims about topological superconductors using Majorana particles, a critical step for quantum computing.
Several Microsoft-backed papers on Majoranas have faced scrutiny, including retractions. Critics accuse Microsoft of cherry-picking data, while supporters stress the research’s complexity and pioneering nature.
The controversy reveals challenges in peer review and verifying claims in a competitive field.
Microsoft defends the integrity of its research and values open scientific debate. Critics warn that selective reporting risks misleading the community. The dispute highlights the difficulty of confirming breakthrough quantum computing claims in an emerging industry.
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Eight long-dormant Bitcoin wallets from the early days of the network moved a combined 80,000 BTC in early July 2025. Each wallet sent roughly 10,000 BTC to new SegWit addresses, which offer enhanced security against future quantum computing threats.
These transfers mark the most significant single Bitcoin transactions ever recorded, attracting intense speculation across the crypto community.
Shortly after the transfer, around 28,600 BTC were sent to Galaxy Digital, with about 9,000 BTC sold, likely contributing to a 5% price drop from Bitcoin’s recent all-time high of $123,000.
Experts believe the security upgrade was a precaution against quantum computing risks, threatening Bitcoin’s cryptographic foundations in the coming decades. Developers are working on proposals to protect vulnerable wallets and strengthen network security.
Blockchain analysis shows all eight wallets belong to one entity, with some suspecting Roger Ver, aka ‘Bitcoin Jesus,’ because of his early role and recent legal troubles. Around that time, OP_RETURN messages appeared on the blockchain, possibly a spam campaign pressuring the wallet owner to prove control.
While no evidence of hacking has emerged, these events have heightened attention on dormant Bitcoin holdings and quantum security.
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One hundred years after its birth, quantum mechanics continues to baffle physicists, despite underpinning many of today’s technologies. While its equations accurately describe the behaviour of subatomic particles, experts remain deeply divided on what those equations actually reveal about reality.
A recent survey by Nature, involving more than 1,100 physicists, highlighted the lack of consensus within the field. Just over a third supported the Copenhagen interpretation, which claims a particle only assumes a definite state once it is observed.
Others favour alternatives like the many worlds theory, which suggests every possible outcome exists in parallel universes rather than collapsing into a single reality. The concept challenges traditional notions of observation, space and causality.
Physicists also remain split on whether there is a boundary between classical and quantum systems. Only a quarter expressed confidence in their chosen interpretation, with most believing a better theory will eventually replace today’s understanding.
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Sui Research revealed a way for blockchain wallets to upgrade for quantum safety without a hard fork or address changes. The approach, based on EdDSA cryptography, allows compatible networks like Solana, Sui and Near to transition securely with minimal disruption.
Cryptographer Kostas Chalkias described the breakthrough as the first backward-compatible path to quantum safety for wallets. The upgrade uses zero-knowledge proofs to verify private key control without exposing data, keeping original public keys and supporting dormant accounts.
While praised as one of the most important cryptographic advancements in recent years, the upgrade method does not apply to Bitcoin or Ethereum. These networks use different signature methods, which may need bigger changes to stay secure as quantum tech evolves.
Although quantum computers are not yet capable of breaking blockchain encryption, researchers and developers are racing to prepare. The risk of millions of wallets becoming vulnerable has triggered serious debate in the crypto community.
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