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20212026
most citedImproving the accuracy and efficiency of quantum connected moments expansions

27 citations · 50 across the 9 of their papers we have counts for

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8 papers · 1 filter

quant-ph2026

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…

quant-ph2026

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…

quant-ph2025

Coupled Cluster Downfolding Theory in Simulations of Chemical Systems on Quantum Hardware

Nicholas P. Bauman, Muqing Zheng, Chenxu Liu +5

The practical application of quantum technologies to chemical problems faces significant challenges, particularly in the treatment of realistic basis sets and the accurate inclusio…

quant-ph2025★ 15 cited

A Perspective on Quantum Computing Applications in Quantum Chemistry using 25--100 Logical Qubits

Yuri Alexeev, Victor S. Batista, Nicholas Bauman +27

The intersection of quantum computing and quantum chemistry represents a promising frontier for achieving quantum utility in domains of both scientific and societal relevance. Owin…

quant-ph2024

GALIC: Hybrid Multi-Qubitwise Pauli Grouping for Quantum Computing Measurement

Matthew X. Burns, Chenxu Liu, Samuel Stein +3

Observable estimation is a core primitive in NISQ-era algorithms targeting quantum chemistry applications. To reduce the state preparation overhead required for accurate estimation…

quant-ph2024★ 1 cited

Quantum time dynamics mediated by the Yang-Baxter equation and artificial neural networks

Sahil Gulania, Yuri Alexeev, Stephen K. Gray +2

Quantum computing shows great potential, but errors pose a significant challenge. This study explores new strategies for mitigating quantum errors using artificial neural networks…

quant-ph2023★ 7 cited

Unleashed from Constrained Optimization: Quantum Computing for Quantum Chemistry Employing Generator Coordinate Inspired Method

Muqing Zheng, Bo Peng, Ang Li +2

Hybrid quantum-classical approaches offer potential solutions to quantum chemistry problems, yet they often manifest as constrained optimization problems. Here, we explore the inte…

quant-ph2021★ 27 cited

Improving the accuracy and efficiency of quantum connected moments expansions

Daniel Claudino, Bo Peng, Nicholas P. Bauman +2

The still-maturing noisy intermediate-scale quantum (NISQ) technology faces strict limitations on the algorithms that can be implemented efficiently. In quantum chemistry, the vari…