Harvard and Anthropic design quantum circuits with LLMs, reducing resources by 4 to 39 times

Harvard and Anthropic design quantum circuits with LLMs, reducing resources by 4 to 39 times compared to existing published ...
quantumzeitgeist

Researchers from Harvard Quantum, Anthropic and QuEra show new circuits cut qubit counts for quantum calculations

New circuits leverage large language models to reduce qubit counts for quantum calculations, potentially simplifying quantum ...
KDnuggets

Agentic RAG vs. Naive RAG: When Your Retrieval System Should Think for Itself

From static retrieval pipelines to autonomous reasoning engines: a complete breakdown of how these two architectures work, ...
HackerNoon

I Built a Python Compressor Using OpenAI's Tokenizer. Here's What Happened

And I kept looking at that dictionary and thinking: nobody is allowed to just use that for compression? TokPress is a ...
shattered.io

HMAC vs Digital Signatures: 32 Bytes vs 256 [2026]

HMAC tags run 32 bytes, RSA-2048 signatures run 256. Compare speed, key handling, and costs for HMAC vs digital signatures in ...
Science

Coordinated mosquito biting dynamics at the human skin interface

The bite of a female mosquito is the critical point of pathogen transmission, yet the fine-scale biting dynamics on human skin remain unknown. Here, we combine high-speed videography, ...
Anthropic

Designing more efficient quantum circuits with Claude

Working largely on its own, Claude designed quantum circuits that improve on the best published versions, in some cases by an order of magnitude or more.

Majority Vote is Dangerous—Statistical Misconceptions of Ensemble Learning

Suppose your model achieves 85% accuracy. You might want to believe that taking a majority vote of five such models would ...