1 citations · 1 across the 3 of their papers we have counts for
3 papers
quant-ph2026
FTPrimitiveBench: A Benchmark Suite For Logical Computation Under Hardware-Motivated and Biased Noise Models
Shuwen Kan, Adrian Harkness, Zefan Du +5
Fault-tolerant quantum computing requires understanding how error-correcting codes perform on diverse physical hardware. This is typically assessed via noisy stabilizer simulation…
quant-ph2026
Benchmarking quantum trial wavefunctions for phaseless auxiliary-field quantum Monte Carlo
Rod Rofougaran, Neil Mehta, Katherine Klymko +5
The phaseless auxiliary-field quantum Monte Carlo (ph-AFQMC) method is a stochastic imaginary-time projection technique for computing ground-state properties of strongly correlated…
quant-ph2023★ 1 cited
Federated Quantum Machine Learning with Differential Privacy
Rod Rofougaran, Shinjae Yoo, Huan-Hsin Tseng +1
The preservation of privacy is a critical concern in the implementation of artificial intelligence on sensitive training data. There are several techniques to preserve data privacy…