7 papers
Effective Many-body Interactions in Reduced-Dimensionality Spaces Through Neural Network Models
Senwei Liang, Karol Kowalski, Chao Yang +1
Accurately describing properties of challenging problems in physical sciences often requires complex mathematical models that are unmanageable to tackle head-on. Therefore, develop…
Capturing many-body correlation effects with quantum and classical computing
Karol Kowalski, Nicholas P. Bauman, Guang Hao Low +3
Theoretical descriptions of excited states of molecular systems in high-energy regimes are crucial for supporting and driving many experimental efforts at light source facilities.…
Excited-State Downfolding Using Ground-State Formalisms
Nicholas P. Bauman
Downfolding coupled cluster (CC) techniques are powerful tools for reducing the dimensionality of many-body quantum problems. This work investigates how ground-state downfolding fo…
Impact of high-rank excitations on accuracy of the unitary coupled cluster downfolding formalism
Karol Kowalski, Bo Peng, Nicholas P. Bauman
In this paper, we evaluate the accuracy of the Hermitian form of the downfolding procedure utilizing the double unitary coupled cluster Ansatz (DUCC) on the H6 and H8 benchmark sys…
Coupled cluster downfolding techniques: a review of existing applications in classical and quantum computing for chemical systems
Nicholas P. Bauman, Bo Peng, Karol Kowalski
In this manuscript, we provide an overview of the recent developments of the coupled cluster (CC) downfolding methods, where the ground-state problem of a quantum system is represe…
Real-time Equation-of-Motion Coupled-Cluster Cumulant Green's Function Method: Heterogeneous Parallel Implementation Based on the Tensor Algebra for Many-body Methods Infrastructure
Himadri Pathak, Ajay Panyala, Bo Peng +5
We report the implementation of the real-time equation-of-motion coupled-cluster (RT-EOM-CC) cumulant Green's function method [J. Chem. Phys. 152, 174113 (2020)] within the Tensor…