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20192026
most citedFunctional Tensor-Train Chebyshev Method for Multidimensional Quantum Dynamics Simulations

28 citations · 67 across the 10 of their papers we have counts for

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quant-ph2026

Time-Dependent Logarithmic Perturbation Theory for Quantum Dynamics: Formulation and Applications

Juan Carlos del Valle, Paul Bergold, Karolina Kropielnicka

We present a time-dependent extension of logarithmic perturbation theory for nonrelativistic quantum dynamics governed by the Schrödinger equation, in which the logarithm of the wa…

quant-ph2024★ 4 cited

Holographic Gaussian Boson Sampling with Matrix Product States on 3D cQED Processors

Ningyi Lyu, Paul Bergold, Micheline B. Soley +2

We introduce quantum circuits for simulations of multi-mode state-vectors on 3D cQED processors, using matrix product state representations. The circuits are demonstrated as applie…

quant-ph2022★ 13 cited

Variational quantum iterative power algorithms for global optimization

Thi Ha Kyaw, Micheline B. Soley, Brandon Allen +4

We introduce a family of variational quantum algorithms called quantum iterative power algorithms (QIPA) that outperform existing hybrid near-term quantum algorithms of the same ki…

quant-ph2021★ 28 cited

Functional Tensor-Train Chebyshev Method for Multidimensional Quantum Dynamics Simulations

Micheline B. Soley, Paul Bergold, Alex A. Gorodetsky +1

Methods for efficient simulations of multidimensional quantum dynamics are essential for theoretical studies of chemical systems where quantum effects are important, such as those…

quant-ph2021★ 18 cited

Iterative Power Algorithm for Global Optimization with Quantics Tensor Trains

Micheline B. Soley, Paul Bergold, Victor S. Batista

Optimization algorithms play a central role in chemistry since optimization is the computational keystone of most molecular and electronic structure calculations. Herein, we introd…