699 citations · 1k across the 35 of their papers we have counts for
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Adaptive Dissipative State Preparation through Reinforcement Learning
Nathan M. Myers, Chenxu Liu, Yulong Dong +2
Dissipative algorithms approach the problem of ground state preparation by mimicking the natural thermalization of a quantum system in contact with a large, low-temperature thermal…
Toward Resilient Many-Body Formulations under Incomplete Correlation Models: A Dual-Space Variational Formulation
Vibin Abraham, Bhumika Jayee, Bo Peng +2
Quantum simulations of correlated many-body systems will inevitably operate with imperfect information: the prepared states may arise from incomplete or approximate ansatze, while…
Quantum Information Harvesting with the Parallel Quantum Flow Algorithm
Nicholas P. Bauman, Ajay Panyala, Chenxu Liu +3
The Quantum Flow (QFlow) algorithm provides a resource-efficient framework for describing correlated many-body systems on hybrid quantum-classical architectures. By enabling parall…
Quantum Flow algorithm: quantum simulations of chemical systems using reduced quantum resources and constant depth quantum circuits
Bhumika Jayee, Nathan M. Myers, Duo Song +3
We assess the performance of the Quantum Flow (QFlow) algorithm employing cost-effective solvers based on the unitary coupled-cluster ansatz with single and double excitations (QFl…
Single-reference coupled-cluster theory based on the multi-purpose cluster operator
Karol Kowalski, Nicholas P. Bauman
In this paper, we develop a theoretical framework that extends single-reference (SR) coupled-cluster (CC) theory beyond its conventional role of describing a single electronic stat…