thequantuminsider.com
QuEra, Harvard and Anthropic Use AI to Reduce Quantum Circuit Resource Requirements
Researchers from QuEra Computing, Harvard University, and Anthropic used Anthropic’s Claude to design quantum circuits that cut both gate counts and qubit requirements across seven of eight computational building blocks. The AI‑generated circuits achieved a 12‑fold reduction in Toffoli gates for a Reed‑Solomon decoder, a 9.9‑fold drop in combined resources for a Coulomb potential calculation, and a 39‑fold decrease for a fixed‑point Gaussian function. A new reversible modular inversion approach was also discovered, offering additional trade‑offs between [...]