5 citations · 8 across the 8 of their papers we have counts for
8 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.…
Picasso: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing
S M Ferdous, Reece Neff, Bo Peng +6
A coloring of a graph is an assignment of colors to vertices such that no two neighboring vertices have the same color. The need for memory-efficient coloring algorithms is motivat…
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…
Quantum Information Science and Technology for Nuclear Physics. Input into U.S. Long-Range Planning, 2023
Douglas Beck, Joseph Carlson, Zohreh Davoudi +98
In preparation for the 2023 NSAC Long Range Plan (LRP), members of the Nuclear Science community gathered to discuss the current state of, and plans for further leveraging opportun…
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…