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Quantum algorithms for fermionic simulations
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
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 areExpand
Constrained path Monte Carlo method for fermion ground states
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 isExpand
Macroscopic engineering properties of polycrystalline materials: Elastic properties
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 theExpand
Simulating physical phenomena by quantum networks
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 electronicExpand
Bayesian Inference and the Analytic Continuation of Imaginary-Time Quantum Monte Carlo Data
We present brief description of how methods of Bayesian inference are used to obtain real frequency information by the analytic continuation of imaginary-time quantum Monte Carlo data. Expand
Quantum Monte Carlo Methods: Algorithms for Lattice Models
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 itsExpand
Multi-fidelity machine learning models for accurate bandgap predictions of solids
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 thatExpand
The Born approximation in the theory of the scattering of elastic waves by flaws
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 attractiveExpand