← Back to feed

Anthropic (@AnthropicAI): 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 publish

L5 · ResearcherResearch@AnthropicAI· 10/16/2026

Shows AI's capability to advance quantum computing research through natural language interaction.

AI Summary

Claude Mythos 5 designed quantum circuits that outperform published benchmarks by orders of magnitude using plain-language instructions.

Excerpt

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

Read Original
0 upvotes · 0 downvotes · 1 min read

Related Articles

L5 · ResearcherResearchHacker News
Claude reveals ECDSA curve origins

Claude AI discovered that NIST's ECDSA cryptographic seeds were generated from Unix timestamps using lrand48 RNG, solving a decades-old mystery in cryptography.

L4 · DeveloperResearchHacker News
90% of US working hours are spent on tasks not covered well by AI benchmarks

Mercor Research found that 90% of US working hours involve tasks with little to no coverage in existing AI benchmarks, making it difficult to assess model performance on real-world work.

L5 · ResearcherResearchHacker News
Neural networks are clean

New research challenges the superposition theory of polysemanticity, suggesting neural networks are more interpretable than previously believed through recursive generalization patterns.

L5 · ResearcherResearchLessWrong AI
"About a quarter of them contained bugs": Gemini 4's ML R&D benchmark

Google DeepMind's Gemini 4 safety report reveals 25% of its ML R&D benchmark tasks contained bugs, undermining claims about AI automating AI research.

L5 · ResearcherResearchAI Alignment Forum
A Simpler and Better Debate Protocol for Scalable Oversight

Researchers propose a new AI debate protocol that offers simpler implementation and stronger correctness guarantees for scalable oversight of advanced AI systems.