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20192026
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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-ph2026

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…

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

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-ph2025

Qubit-efficient quantum chemistry with the ADAPT variational quantum eigensolver and double unitary downfolding

Harjeet Singh, Luke W. Bertels, Daniel Claudino +5

In this work, we combine the recently developed double unitary coupled cluster (DUCC) theory with the adaptive, problem-tailored variational quantum eigensolver (ADAPT-VQE) to expl…

quant-ph2025

Exploring the Nexus of Many-Body Theories through Neural Network Techniques: the Tangent Model

Senwei Liang, Karol Kowalski, Chao Yang +1

In this paper, we present a physically informed neural network representation of the effective interactions associated with coupled-cluster downfolding models to describe chemical…