Anthropic says Claude beat published designs across eight quantum-circuit tasks
In Anthropic’s study, Claude Mythos 5 worked in a closed loop with an automated evaluator to produce new designs using fewer qubits and gates across eight quantum-circuit tasks.

AT A GLANCE
Key points
- Claude found designs using fewer qubits and gates across eight quantum-circuit tasks.
- One elliptic-curve circuit used 12% more qubits but 17× fewer gates.
- A quantum-optimization step became about 12× cheaper.
- The point-addition task ran for 53 hours in a closed-loop search.
What is changing?
Anthropic said on October 16 that Claude Mythos 5 optimized eight quantum-circuit primitives. For tasks drawn from chemistry, optimization, physics simulation, and number theory, the model proposed designs and used feedback from an automated evaluator that checked correctness, qubit count, and gate count. The company says the results used fewer resources than the best published designs in every task.
For elliptic-curve point addition, Claude developed a reversible divsteps method that reconstructs branch history instead of storing it; the run lasted 53 hours with limited human guidance. One option in the resulting design family uses 12% more qubits than the previous smallest circuit but 17× fewer gates.
In another task, the costliest step of a leading quantum optimization algorithm became about 12× cheaper. These remain provider-reported research and paper results; practical hardware benefits require independent replication, error-correction assumptions, and compilation costs on real devices.
Explore the original sources
Source date: 16 October 2026.
Published by AI Radar: 16 Oct 2026, 23:07 (Istanbul, UTC+3).
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