2 papers
quant-ph2023
Variational Denoising for Variational Quantum Eigensolver
Quoc Hoan Tran, Shinji Kikuchi, Hirotaka Oshima
The variational quantum eigensolver (VQE) is a hybrid algorithm that has the potential to provide a quantum advantage in practical chemistry problems that are currently intractable…
cs.LG2022
NeuRecover: Regression-Controlled Repair of Deep Neural Networks with Training History
Shogo Tokui, Susumu Tokumoto, Akihito Yoshii +4
Systematic techniques to improve quality of deep neural networks (DNNs) are critical given the increasing demand for practical applications including safety-critical ones. The key…