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20182025
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quant-ph20252 cited

Digital Quantum Simulation of Spin Transport

Yi-Ting Lee, Bibek Pokharel, Jeffrey Cohn +2

Understanding transport phenomena in quantum spin systems has long intrigued physicists due to their potential applications in spintronic devices and spin qubits. Here, using a sup…

quant-ph2025

Superdiffusion resilience in Heisenberg Chains with 2D interactions on a quantum processor

Keerthi Kumaran, Manas Sajjan, Bibek Pokharel +7

Observing superdiffusive scaling in the spin transport of the integrable 1D Heisenberg model is one of the key discoveries in non-equilibrium quantum many-body physics. Despite thi…

quant-ph2023

Subspace methods for electronic structure simulations on quantum computers

Mario Motta, William Kirby, Ieva Liepuoniute +7

Quantum subspace methods (QSMs) are a class of quantum computing algorithms where the time-independent Schrodinger equation for a quantum system is projected onto a subspace of the…

quant-ph2023

Gibbs state sampling via cluster expansions

Norhan M. Eassa, Mahmoud M. Moustafa, Arnab Banerjee +1

Gibbs states (i.e., thermal states) can be used for several applications such as quantum simulation, quantum machine learning, quantum optimization, and the study of open quantum s…

quant-ph2018

Minimal Effective Gibbs Ansatz (MEGA): A simple protocol for extracting an accurate thermal representation for quantum simulation

Jeffrey Cohn, Khadijeh Sona Najafi, Forest Yang +2

Quantum Gibbs state sampling algorithms generally suffer from either scaling exponentially with system size or requiring specific knowledge of spectral properties \textit{a priori}…