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121
Correlation energy of the paramagnetic electron gas at the thermodynamic limit
Published 2023“…The present diffusion quantum Monte Carlo energies, together with our recently reported [Phys. …”
Journal article -
122
Pairing correlations in the two-layer attractive Hubbard model
Published 2014“…In this paper, we use quantum Monte Carlo to study analogous issues for attractive interactions. …”
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Journal Article -
123
On the spacing distributions in the spin-1/2 XX chain
Published 2023-05-01“…Additionally, these distributions can be calculated easily from quantum Monte Carlo simulation and, therefore, can be used to illustrate this numerical method.…”
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124
Triplet p-wave pairing correlation in low-doped zigzag graphene nanoribbons
Published 2017-02-01“…By employing a method that combines random-phase approximation, the finite-temperature determinant quantum Monte Carlo approach, and the ground-state constrained-path quantum Monte Carlo method, it is shown that such a spin-triplet pairing is mediated by the ferromagnetic fluctuations caused by the flat band at the edge. …”
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125
Learning Feynman Diagrams with Tensor Trains
Published 2022-11-01“…Our benchmarks on the Anderson quantum impurity problem, within the real-time nonequilibrium Schwinger-Keldysh formalism, demonstrate that this technique supersedes diagrammatic quantum Monte Carlo by orders of magnitude in precision and speed, with convergence rates 1/N^{2} or faster, where N is the number of function evaluations. …”
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126
Enhanced pair correlation functions in the two-dimensional Hubbard model
Published 2013-01-01“…In this study we have computed the pair correlation functions in the two-dimensional Hubbard model using a quantum Monte Carlo method. We employ a new diagonalization algorithm in the quantum Monte Carlo method which is free from the negative sign problem. …”
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127
What is the Computational Value of Finite-Range Tunneling?
Published 2016-08-01“…We also compare physical QA with the quantum Monte Carlo algorithm, an algorithm that emulates quantum tunneling on classical processors. …”
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128
Ab initio solution of the many-electron Schrödinger equation with deep neural networks
Published 2020-09-01“…The Fermionic neural network is able to achieve accuracy beyond other variational quantum Monte Carlo Ansatz on a variety of atoms and small molecules. …”
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129
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130
Quantum Adiabatic Algorithms, Small Gaps, and Different Paths
Published 2014“…We do not know whether this trick will help for a random instance of3SAT (as opposed to an instance from the particular set we consider), especially if theinstance has an exponential number of disparate assignments that violate few clauses.We use a continuous imaginary time Quantum Monte Carlo algorithm in a novel way tonumerically investigate the ground state as well as the first excited state of our system.Our arguments are supplemented by Quantum Monte Carlo data from simulations withup to 150 spins.…”
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131
A simple case of d(x2-y2) pairing: Hubbard ladder
Published 2012-03-01“…We study the strength and the temperature scale of the d(x2-y2) pairing correlations in the Hubbard model on a ladder lattice using Quantum Monte Carlo (QMC) simulations. In particular, we present QMC results on the particle-particle interaction and the solution of the Bethe-Salpeter equation for the d(x2-y2)-wave BCS channel. …”
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132
Unconventional phase transitions in strongly anisotropic 2D (pseudo)spin systems
Published 2018-01-01“…We have applied a generalized mean-field approach and quantum Monte-Carlo technique for the model 2D S = 1 (pseudo)spin system to find the ground state phase with its evolution under application of the (pseudo)magnetic field. …”
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133
Strangeness in nuclei and neutron stars: a challenging puzzle
Published 2016-01-01“…We summarize our recent quantum Monte Carlo results on the development of realistic two- and threebody hyperon-nucleon interactions based on the available experimental data for light- and medium-heavy hypernuclei.…”
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134
Quantum computing for data-centric engineering and science
Published 2022-01-01“…In this perspective, I give my answer to the question of how quantum computing will impact on data-intensive applications in engineering and science. I focus on quantum Monte Carlo integration as a likely source of (relatively) near-term quantum advantage, but also discuss some other ideas that have garnered widespread interest.…”
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135
Autoregressive neural Slater-Jastrow ansatz for variational Monte Carlo simulation
Published 2023-06-01“…Direct sampling from a Slater determinant is combined with an autoregressive deep neural network as a Jastrow factor into a fully autoregressive Slater-Jastrow ansatz for variational quantum Monte Carlo, which allows for uncorrelated sampling. …”
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136
DCore: Integrated DMFT software for correlated electrons
Published 2021-05-01“…Furthermore, DCore provides interfaces to many advanced quantum impurity solvers such as quantum Monte Carlo and exact diagonalization solvers. …”
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137
Dimensional crossover in bose-hubbard model.
Published 2011“…We used quantum Monte Carlo simulation to investigate the dimensional crossover in the Bose-Hubbard model when the inter layer coupling Jp was reduced from 1 to 0. …”
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Final Year Project (FYP) -
138
Tunneling dynamics in water tetramer and pentamer
Published 1996“…The very good agreement between vibrationally averaged rotational constants from diffusion quantum Monte Carlo calculations and experimental values confirms that the structures are cyclic. …”
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139
REACTION-PATH ZERO-POINT ENERGY FROM DIFFUSION MONTE-CARLO CALCULATIONS
Published 1995“…A general diffusion quantum Monte Carlo method is described for accurately calculating the zero-point energy of the vibrations orthogonal to a reaction path in a polyatomic system. …”
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140
Complex Langevin study for polarons in a one-dimensional two-component Fermi gas with attractive contact interactions
Published 2021-08-01“…We investigate a polaronic excitation in a one-dimensional spin-1/2 Fermi gas with contact attractive interactions, using the complex Langevin method, which is a promising approach to evade a possible sign problem in quantum Monte Carlo simulations. We found that the complex Langevin method works correctly in a wide range of temperature, interaction strength, and population imbalance. …”
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