We develop a local correlation variant of auxiliary field quantum Monte Carlo (AFQMC) that is based on local natural orbitals (LNO-AFQMC). In LNO-AFQMC, independent AFQMC calculations are performed for each localized occupied orbital using a truncated set of tailored orbitals. Because the size of this space does not grow with system size for a target accuracy, the method has linear scaling. Applying LNO AFQMC to molecular problems containing a few hundred to a thousand orbitals, we demonstrate convergence of total energies with significantly reduced costs. The savings are more significant for larger systems and larger basis sets. However, even for our smallest system studied, we find that LNO-AFQMC is cheaper than canonical AFQMC, in contra...
One of the central problems of solid state physics and quantum chemistry is to find an accurate and ...
Quantum Monte Carlo (QMC) is a computational technique that can be applied to the electronic Schrödi...
We describe an algorithm to reduce the cost of auxiliary-field quantum Monte Carlo (AFQMC) calculati...
We implement the phaseless auxiliary field quantum Monte Carlo method using the plane-wave based pro...
doi:10.1088/0953-8984/16/25/L01 We have reformulated the quantum Monte Carlo (QMC) technique so that...
For atomic and molecular quantum Monte Carlo calculations, most of the computational effort is spent...
We have reformulated the quantum Monte Carlo (QMC) technique so that a large part of the calculation...
We introduce a family of methods for the full configuration interaction problem in quantum chemistry...
We have investigated the efficacy of two recently proposed variations of the pair-natural-orbital ap...
This study reports on the prospect for the routine use of Quantum Monte Carlo (QMC) for the electron...
Various computational methods have been used to generate potential energy surfaces, which can help u...
The exact and phaseless variants of auxiliary-field quantum Monte Carlo (AFQMC) have been shown to b...
The auxiliary‐field quantum Monte Carlo (AFQMC) method provides a computational framework for solvin...
Neural-network quantum states (NQS) employ artificial neural networks to encode many-body wave funct...
Quantum computation is the most promising new paradigm for the simulation of physical systems compos...
One of the central problems of solid state physics and quantum chemistry is to find an accurate and ...
Quantum Monte Carlo (QMC) is a computational technique that can be applied to the electronic Schrödi...
We describe an algorithm to reduce the cost of auxiliary-field quantum Monte Carlo (AFQMC) calculati...
We implement the phaseless auxiliary field quantum Monte Carlo method using the plane-wave based pro...
doi:10.1088/0953-8984/16/25/L01 We have reformulated the quantum Monte Carlo (QMC) technique so that...
For atomic and molecular quantum Monte Carlo calculations, most of the computational effort is spent...
We have reformulated the quantum Monte Carlo (QMC) technique so that a large part of the calculation...
We introduce a family of methods for the full configuration interaction problem in quantum chemistry...
We have investigated the efficacy of two recently proposed variations of the pair-natural-orbital ap...
This study reports on the prospect for the routine use of Quantum Monte Carlo (QMC) for the electron...
Various computational methods have been used to generate potential energy surfaces, which can help u...
The exact and phaseless variants of auxiliary-field quantum Monte Carlo (AFQMC) have been shown to b...
The auxiliary‐field quantum Monte Carlo (AFQMC) method provides a computational framework for solvin...
Neural-network quantum states (NQS) employ artificial neural networks to encode many-body wave funct...
Quantum computation is the most promising new paradigm for the simulation of physical systems compos...
One of the central problems of solid state physics and quantum chemistry is to find an accurate and ...
Quantum Monte Carlo (QMC) is a computational technique that can be applied to the electronic Schrödi...
We describe an algorithm to reduce the cost of auxiliary-field quantum Monte Carlo (AFQMC) calculati...