Correlated dynamics can produce stable algorithms for excited states of quantum many-body problems. We study a variety of harmonic oscillator problems to demonstrate the kinds of correlations needed. We show that marginally correct dynamics that produce a stable overlap with an antisymmetrictrial function give the correct fermion ground state
Existing quantum Monte Carlo algorithms suffer from the so-called minus-sign problem. We propose a s...
Solving the Schrödinger equation and finding excited states for quantum mechanical many-body systems...
A novel class of quantum Monte Carlo methods, which were based on a Gaussian quantum operator repres...
We review the fundamental challenge of fermion Monte Carlo for continuous systems, the "sign problem...
The numerical simulation of quantum many-body systems is an essential instrument in the research on ...
The issues that prevent the development of efficient and stable algorithms for fermion Monte Carlo i...
Existing quantum Monte Carlo algorithms suffer from the so-called minus-sign problem. We propose a s...
In this work we develop Quantum Monte Carlo techniques suitable for exploring both ground state and ...
This dissertation describes a theoretical study of strongly correlated electron systems. We present ...
On the basis of a Feynman–Kac-type formula involving Poisson stochastic processes, a Monte Carlo alg...
Developing analytical and numerical tools for strongly correlated systems is a central challenge for...
We show that Monte Carlo sampling of the Feynman diagrammatic series (DiagMC) can be used for tackli...
Existing quantum Monte Carlo algorithms suffer from the so-called minus-sign problem. We propose a s...
Existing quantum Monte Carlo algorithms suffer from the so-called minus-sign problem. We propose a s...
Existing quantum Monte Carlo algorithms suffer from the so-called minus-sign problem. We propose a s...
Existing quantum Monte Carlo algorithms suffer from the so-called minus-sign problem. We propose a s...
Solving the Schrödinger equation and finding excited states for quantum mechanical many-body systems...
A novel class of quantum Monte Carlo methods, which were based on a Gaussian quantum operator repres...
We review the fundamental challenge of fermion Monte Carlo for continuous systems, the "sign problem...
The numerical simulation of quantum many-body systems is an essential instrument in the research on ...
The issues that prevent the development of efficient and stable algorithms for fermion Monte Carlo i...
Existing quantum Monte Carlo algorithms suffer from the so-called minus-sign problem. We propose a s...
In this work we develop Quantum Monte Carlo techniques suitable for exploring both ground state and ...
This dissertation describes a theoretical study of strongly correlated electron systems. We present ...
On the basis of a Feynman–Kac-type formula involving Poisson stochastic processes, a Monte Carlo alg...
Developing analytical and numerical tools for strongly correlated systems is a central challenge for...
We show that Monte Carlo sampling of the Feynman diagrammatic series (DiagMC) can be used for tackli...
Existing quantum Monte Carlo algorithms suffer from the so-called minus-sign problem. We propose a s...
Existing quantum Monte Carlo algorithms suffer from the so-called minus-sign problem. We propose a s...
Existing quantum Monte Carlo algorithms suffer from the so-called minus-sign problem. We propose a s...
Existing quantum Monte Carlo algorithms suffer from the so-called minus-sign problem. We propose a s...
Solving the Schrödinger equation and finding excited states for quantum mechanical many-body systems...
A novel class of quantum Monte Carlo methods, which were based on a Gaussian quantum operator repres...
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