Anthropic：Claude Mythos 5 在闭环中优化量子电路，超越已发表最优算法
Anthropic 让 Claude Mythos 5 自己写量子电路、自己按分数迭代，8 个原语上都打赢了已发表最优解，量子方向的朋友可以看看.
Anthropic 在博客中报告，让 Claude Mythos 5 仅凭自然语言描述优化量子算法：模型提出电路设计，由外部评估程序打分（量子比特数×门数），再据此改进下一轮，全程无人工干预。在化学、优化、量子模拟、数论和数值计算共 8 个计算原语上，Claude 发现的新设计比已发表最优算法用量子比特更少、门数也更少。
Quoting from the blog:
'Claude has proven particularly adept at optimizing classical algorithms, so we wanted to see whether it could do the same for quantum algorithms if it were given only a plain-language description of what each circuit must compute.
Claude is unusually well suited to this task, for several reasons. First, quantum algorithms are implemented as quantum circuits. These are composed of sequences of gates, like the Toffoli gates mentioned above. Importantly, these circuits can be described in code, so we can make use of Claude’s coding capabilities to write, run, and revise circuit designs as ordinary programs. Second, the (fairly common) class of quantum algorithms we were most interested in optimizing can be tested efficiently for correctness, as each input gives one definite output that an ordinary computer can check. This means we could have an external evaluator program validate Claude’s proposals. Finally, we can give Claude a clear, objective score to improve: the number of qubits used, multiplied by the number of gates, which serves as a proxy for how long the circuit would take to run.
We found that Claude Mythos 5 could successfully work in a closed loop, proposing a circuit design, receiving feedback and a score from the evaluator program, and using that feedback to improve its next attempt, with no human input between rounds. Across eight computational primitives—the basic routines that larger quantum algorithms are built from—for chemistry, optimization, quantum simulation, number theory, and numerical computing, Claude discovered novel designs that used both fewer qubits and fewer gates than the best previously published algorithms.'
