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Claude Mythos 5 designs more efficient quantum circuits

AI summary

Anthropic said its STEM Fellows Program had Claude Mythos 5 design quantum circuits from plain-language specifications alone, working largely on its own across eight circuits drawn from chemistry, optimization, physics simulation and number theory, with an automated evaluator scoring each design. According to Anthropic, the resulting circuits improve on the best published ones, in some cases by an order of magnitude or more. The work was led by Andi Gu with mentorship from Anthropic quantum physicist Alek Kemeny, in collaboration with Susanne Yelin and Mikhail Lukin of Harvard University (Lukin also at QuEra Computing), and the full paper is on arXiv. Anthropic argues that more efficient circuits reduce the qubit and runtime resources quantum algorithms need, which could bring practical applications in chemistry and materials science closer.

In-depth insight

If it holds up, this is a concrete case of a model autonomously proposing verifiable algorithmic improvements for real hardware, relevant to both quantum algorithm design and AI-driven research automation.

AnthropicClaude Mythos 5Harvard University

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