activity
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

collaborators

11 papers

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…

cond-mat.mes-hall2026

Quantum-classical dynamics of Rashba spin-orbit coupling

Paul Bergold, Giovanni Manfredi, Cesare Tronci

Mixed quantum-classical models are widely used to reduce the computational cost of fully quantum simulations. However, their general applicability across different classes of probl…

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…

math.NA2023★ 3 cited

Koopmon trajectories in nonadiabatic quantum-classical dynamics

Werner Bauer, Paul Bergold, François Gay-Balmaz +1

In order to alleviate the computational costs of fully quantum nonadiabatic dynamics, we present a mixed quantum-classical (MQC) particle method based on the theory of Koopman wave…

math-ph2023★ 1 cited

Madelung transform and variational asymptotics in Born-Oppenheimer molecular dynamics

Paul Bergold, Cesare Tronci

While Born-Oppenheimer molecular dynamics (BOMD) has been widely studied by resorting to powerful methods in mathematical analysis, this paper presents a geometric formulation in t…

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…

math.NA2021

An Error Bound for the Time-Sliced Thawed Gaussian Propagation Method

Paul Bergold, Caroline Lasser

We study the time-sliced thawed Gaussian propagation method, which was recently proposed for solving the time-dependent Schrödinger equation. We introduce a triplet of quadrature-b…

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…

math.NA2020

The Gaussian Wave Packet Transform via Quadrature Rules

Paul Bergold, Caroline Lasser

We analyse the Gaussian wave packet transform. Based on the Fourier inversion formula and a partition of unity, which is formed by a collection of Gaussian basis functions, a new r…

math.CA2019

Fourier series windowed by a bump function

Paul Bergold, Caroline Lasser

We study the Fourier transform windowed by a bump function. We transfer Jackson's classical results on the convergence of the Fourier series of a periodic function to windowed seri…