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Quantum algorithms for fermionic simulations

- G. Ortiz, J. Gubernatis, E. Knill, R. Laflamme
- Physics
- 18 December 2000

We investigate the simulation of fermionic systems on a quantum computer. We show in detail how quantum computers avoid the dynamical sign problem present in classical simulations of these systems,… Expand

Bayesian inference and the analytic continuation of imaginary-time quantum Monte Carlo data

- M. Jarrell, J. Gubernatis
- Physics
- 1 May 1996

Abstract We present a way to use Bayesian statistical inference and the principle of maximum entropy to analytically continue imaginary-time quantum Monte Carlo data. We supply the details that are… Expand

The Monte Carlo Method in the Physical Sciences: Celebrating the 50th Anniversary of the Metropolis Algorithm

- J. Gubernatis
- Physics, Computer Science
- 2003

Constrained path Monte Carlo method for fermion ground states

- S. Zhang, J. Carlson, J. Gubernatis
- Physics
- 9 July 1996

We describe and discuss a recently proposed quantum Monte Carlo algorithm to compute the ground-state properties of various systems of interacting fermions. In this method, the ground state is… Expand

Macroscopic engineering properties of polycrystalline materials: Elastic properties

- J. Gubernatis, J. Krumhansl
- Physics
- 1 May 1975

We outline the formal application of integral equation methods (Green’s function techniques) to the systematic computation of the effective elastic properties of polycrystalline materials from the… Expand

Simulating physical phenomena by quantum networks

- R. Somma, G. Ortiz, J. Gubernatis, E. Knill, R. Laflamme
- Physics
- 31 August 2001

Physical systems, characterized by an ensemble of interacting constituents, can be represented and studied by different algebras of operators (observables). For example, a fully polarized electronic… Expand

Bayesian Inference and the Analytic Continuation of Imaginary-Time Quantum Monte Carlo Data

- J. Gubernatis, J. Bonca, M. Jarrell
- Mathematics, Computer Science
- 31 December 1995

TLDR

Quantum Monte Carlo Methods: Algorithms for Lattice Models

- J. Gubernatis, N. Kawashima, P. Werner
- Physics
- 24 June 2016

Featuring detailed explanations of the major algorithms used in quantum Monte Carlo simulations, this is the first textbook of its kind to provide a pedagogical overview of the field and its… Expand

Multi-fidelity machine learning models for accurate bandgap predictions of solids

- G. Pilania, J. Gubernatis, T. Lookman
- Materials Science
- 1 March 2017

Abstract We present a multi-fidelity co-kriging statistical learning framework that combines variable-fidelity quantum mechanical calculations of bandgaps to generate a machine-learned model that… Expand

The Born approximation in the theory of the scattering of elastic waves by flaws

- J. Gubernatis, E. Domany, J. Krumhansl, M. Huberman
- Physics
- 1 July 1977

We used the integral equation formulation of the scattering of elastic waves to generate an approximate solution analogous to the Born approximation in quantum mechanics. This solution is attractive… Expand

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