5 citations · 5 across the 3 of their papers we have counts for
3 papers
quant-ph2025
Provably Robust Training of Quantum Circuit Classifiers Against Parameter Noise
Lucas Tecot, Di Luo, Cho-Jui Hsieh
Advancements in quantum computing have spurred significant interest in harnessing its potential for speedups over classical systems. However, noise remains a major obstacle to achi…
quant-ph2023
Randomized Benchmarking of Local Zeroth-Order Optimizers for Variational Quantum Systems
Lucas Tecot, Cho-Jui Hsieh
In the field of quantum information, classical optimizers play an important role. From experimentalists optimizing their physical devices to theorists exploring variational quantum…
physics.chem-ph2022★ 5 cited
Cracking the Quantum Scaling Limit with Machine Learned Electron Densities
Joshua A. Rackers, Lucas Tecot, Mario Geiger +1
A long-standing goal of science is to accurately solve the Schrödinger equation for large molecular systems. The poor scaling of current quantum chemistry algorithms on classical c…