Anthropic’s Claude Mythos 5 has developed a quantum circuit design that uses 17 times fewer gates than an earlier approach. The result could help engineers run demanding quantum algorithms with fewer computational resources. It also offers a new way to tackle one of quantum computing’s biggest engineering challenges: balancing memory requirements against processing time.
The design emerged from a 53-hour experiment led by researcher Andi Gu through Anthropic’s STEM Fellows Program. Claude developed a reversible arithmetic algorithm for elliptic-curve calculations, with researchers from Harvard University and QuEra Computing collaborating on the work. The findings suggest automated circuit design could accelerate progress toward practical quantum computing.
Quantum computers process information through qubits, which can represent combinations of states through superposition. However, existing machines have only hundreds to thousands of qubits, and environmental disturbances can introduce errors during computation.
Engineers must therefore make quantum circuits as efficient as possible. Every operation consumes computational resources, while storing intermediate results requires additional qubits. Quantum circuits also cannot simply discard temporary information, since their operations must remain reversible.
New from our STEM Fellows Program: Designing more efficient quantum circuits with Claude.
Given plain-language instructions, Claude Mythos 5 designed quantum circuits that improve on the best published ones, sometimes by an order of magnitude or more.
More efficient circuits…
Anthropic tasked Claude with optimizing eight computational building blocks across chemistry, physics simulation, optimization, number theory, and numerical computing. An automated evaluator checked each design for correctness and scored its resource requirements.
Claude Mythos 5 worked through repeated design-and-test cycles, refining its proposals without human input between rounds.
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