27 citations · 56 across the 18 of their papers we have counts for
5 papers · 1 filter
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…
Compile-once block encodings for masked similarity-transformed effective Hamiltonians
Bo Peng, Yuan Liu, Karol Kowalski
We present COMPOSER, a compile-once modular parametric oracle for similarity-encoded effective reduction of electronic-structure operators (e.g., Schrieffer-Wolff-type construction…
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…