Researchers at the California Institute of Technology, working with startup Oratomic, say operational quantum computers might require far fewer qubits than previously estimated — potentially enabling useful, fault-tolerant machines well before 2030. Instead of the millions of physical qubits that earlier projections suggested, the team argues that devices built from roughly 10,000 to 20,000 qubits could be sufficient if error rates are reduced.
The proposal centers on a neutral-atom architecture in which individual atoms are manipulated and entangled using optical tweezers. Because atoms can be physically shuttled across the array and linked over long distances, this platform offers connectivity that enables much more efficient error-correction schemes than many existing approaches.
Caltech theoretical physicist John Preskill described the design as dramatically lowering resource requirements for fault-tolerant quantum computing and said the work increases confidence that broadly useful quantum machines are attainable soon. Manuel Endres, who recently built the largest neutral-atom qubit array to date, highlighted the platform’s long-range connectivity: optical tweezers can move an atom across the array to entangle it directly with a distant partner, simplifying circuit layout and error mitigation.
According to the team, their methods could encode a logical qubit with as few as five physical qubits, compared with roughly a thousand physical qubits per logical qubit in more conventional error-correction codes — an efficiency they call ultra-efficient error correction.
Oratomic will partner with Caltech’s Advanced Quantum Computing Mission on further development toward a utility-scale, fault-tolerant machine. The findings arrive amid renewed attention to quantum threats to current cryptography; a recent Google paper also suggested lower resource requirements for certain quantum attacks, and Google has urged migration to post-quantum cryptography with a 2029 timeline for developers. Caltech’s results imply that practical quantum computing and its implications for cryptography may be closer than many expect. Readers are encouraged to verify the research and follow updates as the technology develops.
