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US finalizes quantum R&D awards as Bitcoin BIP-360 and BIP-361 debates gain traction
US commits up to $300 million to quantum hardware as Bitcoin and Ethereum race toward a 2029 post-quantum window
U.S. Commerce Department plans up to $100 million each for three quantum computing firms
IonQ
2026-09-09 16:46:05

IonQ Unveils Superion 256 Quantum Computer as Bitcoin Quantum-Risk Debate Continues

IonQ, a publicly traded quantum technology company based in Maryland, said Tuesday that it has launched its Superion 256 quantum computer and opened orders for the system, with deliveries expected in 2027. The company said SkyWater, its chipmaking subsidiary, has fabricated the first 256-qubit processors, while teams at several U.S. facilities have trapped the first ions in prototype systems. IonQ says the platform is designed around established semiconductor manufacturing methods, with control electronics built directly into the chip. CEO and Chairman Niccolo de Masi linked the launch to two strategic acquisitions, saying Oxford Ionics contributed trapped-ion control using standard electronics, while SkyWater enabled manufacturing at semiconductor costs and scale. The company also said Superion 256 fits in a standard server rack, will be available through the cloud, and follows a design cycle that SkyWater reduced from nine months to two. IonQ added that it pre-sold its first system in early 2026, plans deliveries in 2027, and is developing Superion 10K for an error-resistant computing demonstration in 2027 and commercial production in 2028. The announcement arrives as researchers continue to debate how soon quantum computers could pose a real threat to Bitcoin security. In July, Galaxy announced up to $5 million for Bitcoin quantum-security work, including research, developer grants, and an advisory council.

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IonQ Unveils Superion 256 Quantum Computer as Bitcoin Quantum-Risk Debate Continues
Bitcoin and Ethereum face a 2029 quantum timetable as U.S. backs $300 million hardware push
Coinbase
2026-09-09 15:26:01

Coinbase joins Stanford workshop on post-quantum paths for Bitcoin

Coinbase said it held a closed-door "Post-Quantum Bitcoin Workshop" at Stanford University together with Stanford cryptography professor Dan Boneh and Localhost Research, bringing in Bitcoin developers, cryptography specialists, researchers, institutional custodians and hardware wallet experts. The discussion focused on how Bitcoin could prepare for future quantum computing threats and what a workable migration path might look like. According to Coinbase, participants reviewed progress in quantum computing, the state of post-quantum cryptography, and several post-quantum signature approaches that could fit Bitcoin. The workshop also covered Ethereum’s quantum-resistance planning, operational requirements faced by institutional custody businesses, and the possibility of adding post-quantum security to Bitcoin through mechanisms such as new output types. A key view from attendees was that the industry should spend less effort trying to predict the exact moment quantum computing becomes a real threat to current cryptographic systems, and more effort building well-tested response plans in advance. They said quantum computing is not yet an urgent crisis for Bitcoin, but early research and coordination could reduce the risk of a rushed network upgrade or asset migration later. No single post-quantum approach has yet reached consensus, and trade-offs remain across security, transaction data size, hardware performance, key management and user migration complexity.

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Coinbase joins Stanford workshop on post-quantum paths for Bitcoin
OpenAI
2026-09-09 12:43:11

OpenAI and MIT say AI agents can autonomously run superconducting qubit calibration experiments

OpenAI and the Massachusetts Institute of Technology’s Engineering Quantum Systems group have released a case study saying AI agents powered by GPT-5.6 Sol and Codex can autonomously execute end-to-end superconducting qubit experiments. According to the report, the system was connected directly to lab hardware and handled microwave pulse planning, instrument control, signal processing, data fitting, and iterative qubit calibration without real-time human micromanagement. The test centered on a previously unmeasured six-qubit chip, including four fixed-frequency qubits and two tunable-frequency qubits. OpenAI and MIT said the agent explored unknown physical parameters on its own. In 40 standard measurements involving fixed-frequency qubits, researchers intervened only four times. The study says the system could identify transition frequencies, calibrate control and readout pulses, and estimate coherence-related properties through a closed-loop workflow. The report also draws a clear line around current limitations. Performance weakened in low signal-to-noise conditions, with the model taking longer to search parameters and sometimes misclassifying anomalous physical behavior. The researchers said AI agents can reliably handle well-defined standard workflows, but experienced scientists are still needed when data become ambiguous or physically abnormal. The article also notes a separate math-related dispute involving OpenAI, Tristan Buckmaster, Anthropic researcher Levent Alpöge, and comments from CEO Sam Altman.

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OpenAI and MIT say AI agents can autonomously run superconducting qubit calibration experiments
Qualcomm-Amazon AI chip pact carries up to $60 billion ceiling as U.S. takes stakes in three quantum firms