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The antisymmetrized geminal power (AGP) wave function has a long history and considerable conceptual appeal, but in many situations its accuracy is wanting. Here, we consider a form of configuration interaction (CI) based upon the AGP wave…

Chemical Physics · Physics 2020-05-14 Thomas M. Henderson , Gustavo E. Scuseria

The antisymmetrized geminal power (AGP) wavefunction has a long history and is known by different names in various chemical and physical problems. There has been recent interest in using AGP as a starting point for strongly correlated…

Chemical Physics · Physics 2020-09-15 Rishab Dutta , Thomas M. Henderson , Gustavo E. Scuseria

We develop a bivariational principle for an antisymmetric product of nonorthogonal geminals. Special cases reduce to the antisymmetric product of strongly-orthogonal geminals (APSG), the generalized valence bond-perfect pairing (GVB-PP),…

We propose and implement an algorithm to calculate the norm and reduced density matrices of the antisymmetrized geminal power (AGP) of any rank with polynomial cost. Our method scales quadratically per element of the reduced density…

Chemical Physics · Physics 2020-05-14 Armin Khamoshi , Thomas Henderson , Gustavo Scuseria

The antisymmetrized geminal power (AGP) is equivalent to the number projected Bardeen-Cooper-Schrieffer (PBCS) wavefunction. It is also an elementary symmetric polynomial (ESP) state. We generalize previous research on deterministically…

Quantum Physics · Physics 2023-04-28 Armin Khamoshi , Rishab Dutta , Gustavo E. Scuseria

Electronic structure methods typically benefit from symmetry breaking and restoration, specially in the strong correlation regime. The same goes for Ans\"atze on a quantum computer. We develop a unitary coupled cluster method on the…

Quantum Physics · Physics 2022-11-02 Armin Khamoshi , Guo P. Chen , Francesco A. Evangelista , Gustavo E. Scuseria

To avoid the combinatorial computational cost of configuration interaction (CI), we have previously introduced the symmetric tensor decomposition CI (STD-CI) method, where we take advantage of the antisymmetric nature of the electronic wave…

Chemical Physics · Physics 2015-06-24 Wataru Uemura , Shusuke Kasamatsu , Osamu Sugino

For variational algorithms on the near term quantum computing hardware, it is highly desirable to use very accurate ansatze with low implementation cost. Recent studies have shown that the antisymmetrized geminal power (AGP) wavefunction…

Quantum Physics · Physics 2021-02-23 Armin Khamoshi , Francesco A. Evangelista , Gustavo E. Scuseria

We investigated some variational methods to compute a wavefunction based on antisymmetric product of geminals (APG). The Waring decomposition on the APG wavefunction leads a finite sum of antisymmetrized geminal power (AGP) wavefunctions,…

Chemical Physics · Physics 2024-10-10 Airi Kawasaki , Naoki Nakatani

We introduce Autoregressive Graphical Models (AGMs) as an Ansatz for modeling the ground states of stoquastic Hamiltonians. Exact learning of these models for smaller systems show the dominance of the pairwise terms in the autoregressive…

Symmetry-projected wave function methods capture static correlation by breaking and restoring the symmetries of a system. In this article, we present the symmetry-projected spin antisymmetrized geminal power (spin-AGP) state projected onto…

Strongly Correlated Electrons · Physics 2025-07-14 Zhiyuan Liu , Thomas M. Henderson , Gustavo E. Scuseria

The antisymmetrized geminal power (AGP), a wave function equivalent to number-projected Hartree--Fock--Bogoliubov (HFB), and number-projected Bardeen--Cooper--Schrieffer (BCS) when working in the paired (natural orbitals) basis, has proven…

Strongly Correlated Electrons · Physics 2023-08-28 Zhiyuan Liu , Fei Gao , Guo P. Chen , Thomas M. Henderson , Jorge Dukelsky , Gustavo E. Scuseria

Single-reference methods such as Hartree-Fock-based coupled cluster theory are well known for their accuracy and efficiency for weakly correlated systems. For strongly correlated systems, more sophisticated methods are needed. Recent…

Strongly Correlated Electrons · Physics 2021-02-23 Armin Khamoshi , Guo P. Chen , Thomas M. Henderson , Gustavo E. Scuseria

The Jastrow-modified antisymmetric geminal power (JAGP) ansatz in Hilbert space successfully overcomes two key failings of other pairing theories, namely a lack of inter-pair correlations and a lack of multiple resonance structures, while…

Strongly Correlated Electrons · Physics 2015-06-17 Eric Neuscamman

In order to study the structure of excited states we perform a variational calculation after spin parity projection (VAP) within the framework of Antisymmetrized Molecular Dynamics (AMD). The framework is proven to be a new powerful…

Nuclear Theory · Physics 2009-11-07 Y. Kanada-En'yo

In previous research, we tested the wave function format of a linear combination of several antisymmetrized geminal power states. A numerical problem in the geminal matrices was noted, which made the total energies of electronic systems…

Chemical Physics · Physics 2019-02-06 Wataru Uemura , Takahito Nakajima

Gaussian Process (GP) models are a class of flexible non-parametric models that have rich representational power. By using a Gaussian process with additive structure, complex responses can be modelled whilst retaining interpretability.…

Machine Learning · Statistics 2022-06-22 Xiaoyu Lu , Alexis Boukouvalas , James Hensman

In this thesis, we construct and classify planar noncommutative phase spaces by the coadjoint orbit method on the anisotropic and absolute time kinematical groups. We show that noncommutative symplectic structures can be generated in the…

Mathematical Physics · Physics 2014-01-22 Ancille Ngendakumana

The concept of off-diagonal geometric phase (GP) has been introduced in order to recover interference information about the geometry of quantal evolution where the standard GPs are not well-defined. In this Letter, we propose a physical…

Quantum Physics · Physics 2013-10-25 Vahid Azimi Mousolou , Carlo M. Canali , Erik Sjöqvist

Differential equations are important mechanistic models that are integral to many scientific and engineering applications. With the abundance of available data there has been a growing interest in data-driven physics-informed models.…

Machine Learning · Computer Science 2025-02-04 Oliver Hamelijnck , Arno Solin , Theodoros Damoulas
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