2 papers
quant-ph2025
Enhanced Squeezing and Faster Metrology from Layered Quantum Neural Networks
Nickholas Gutierrez, Rodrigo Araiza Bravo, Susanne Yelin
Spin squeezing is a powerful resource for quantum metrology, and recent hardware platforms based on interacting qubits provide multiple possible architectures to generate and rever…
cs.LG2025
HARDMath2: A Benchmark for Applied Mathematics Built by Students as Part of a Graduate Class
James V. Roggeveen, Erik Y. Wang, Will Flintoft +42
Large language models (LLMs) have shown remarkable progress in mathematical problem-solving, but evaluation has largely focused on problems that have exact analytical solutions or…