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M. Motta

46 papers hereh-index 285.6k citations99 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author17
  • middle author24
  • last author5

Across the 46 of 46 papers where every author was matched, so the position is known.

fields
  • quant-ph26
  • physics.comp-ph6
  • cond-mat.str-el4
  • cond-mat.mtrl-sci3
  • physics.chem-ph3
  • cond-mat.other2
same name
  • M. Motta — 23 papers, h 14
  • M. Motta — 19 papers, h 14
  • M. Motta — 10 papers, h 9
  • M. Motta — 4 papers, h 3
  • M. Motta — 4 papers, h 7
  • M. Motta — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142023
most citedRecent developments in the PySCF program package

1.2k citations · 5.5k across the 46 of their papers we have counts for

collaborators
Showing 2018 · physics.comp-phShow all

3 papers · 2 filters

physics.comp-ph2018★ 65 cited

Efficient ab initio auxiliary-field quantum Monte Carlo calculations in Gaussian bases via low-rank tensor decomposition

Mario Motta, James Shee, Shiwei Zhang +1

We describe an algorithm to reduce the cost of auxiliary-field quantum Monte Carlo (AFQMC) calculations for the electronic structure problem. The technique uses a nested low-rank f…

physics.comp-ph2018★ 169 cited

Low rank representations for quantum simulation of electronic structure

Mario Motta, Erika Ye, Jarrod R. McClean +4

The quantum simulation of quantum chemistry is a promising application of quantum computers. However, for N molecular orbitals, the O(N4) gate complexity of performing…

physics.comp-ph2018★ 31 cited

Calculation of interatomic forces and optimization of molecular geometry with auxiliary-field quantum Monte Carlo

Mario Motta, Shiwei Zhang

We propose an algorithm for accurate, systematic and scalable computation of interatomic forces within the auxiliary-field Quantum Monte Carlo (AFQMC) method. The algorithm relies…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.