1 citations · 1 across the 4 of their papers we have counts for
5 papers
Molecular Properties in Quantum-Classical Auxiliary-Field Quantum Monte Carlo: Correlated Sampling with Application to Accurate Nuclear Forces
Joshua J. Goings, Kyujin Shin, Seunghyo Noh +6
We extend correlated sampling from classical auxiliary-field quantum Monte Carlo to the quantum-classical (QC-AFQMC) framework, enabling accurate nuclear force computations crucial…
End-to-End Demonstration of Quantum Generative Adversarial Networks for Steel Microstructure Image Augmentation on a Trapped-Ion Quantum Computer
Samwel Sekwao, Jason Iaconis, Claudio Girotto +6
Generative adversarial networks (GANs) are a machine learning technique capable of producing high-quality synthetic images. In the field of materials science, when a crystallograph…
Distribution-Adaptive Dynamic Shot Optimization for Variational Quantum Algorithms
Youngmin Kim, Enhyeok Jang, Hyungseok Kim +6
Variational quantum algorithms (VQAs) have attracted remarkable interest over the past few years because of their potential computational advantages on near-term quantum devices. T…
Enhancing the Electron Pair Approximation with Measurements on Trapped Ion Quantum Computers
Luning Zhao, Joshua Goings, Qingfeng Wang +5
The electron pair approximation offers a resource efficient variational quantum eigensolver (VQE) approach for quantum chemistry simulations on quantum computers. With the number o…
Variational quantum eigensolver for closed-shell molecules with non-bosonic corrections
Kyungmin Kim, Sumin Lim, Kyujin Shin +5
The realization of quantum advantage with noisy-intermediate-scale quantum (NISQ) machines has become one of the major challenges in computational sciences. Maintaining coherence o…