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Francesco Calcavecchia1, Francesco Pederiva2, Malvin H Kalos3

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We developed new methods to solve the fermionic sign problem in quantum Monte Carlo simulations. These techniques improve accuracy for systems like liquid helium-3, despite higher computational costs.

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Area of Science:

  • Quantum Many-Body Physics
  • Computational Physics

Background:

  • The fermionic sign problem is a major obstacle in quantum Monte Carlo (QMC) simulations.
  • Accurate simulations of fermionic systems are crucial for understanding condensed matter phenomena.

Purpose of the Study:

  • To introduce novel methods for alleviating the fermionic sign problem in variational Monte Carlo (VMC).
  • To demonstrate the efficacy of these methods on a realistic physical system, liquid helium-3.
  • To assess the trade-offs between accuracy gains and computational cost.

Main Methods:

  • Development of a series of techniques to mitigate the sign problem.
  • Application of these methods within the variational Monte Carlo framework.
  • Testing and validation using liquid helium-3 as a benchmark system.

Main Results:

  • The proposed methods successfully reduce the variance in fermionic shadow wave function calculations.
  • Despite variance reduction, computational cost increases, limiting overall efficiency gains.
  • The developed techniques enable highly accurate QMC simulations for systems previously considered intractable.

Conclusions:

  • The new methods extend the applicability of the fermionic shadow wave function approach.
  • These advancements facilitate previously infeasible, highly accurate quantum Monte Carlo simulations.
  • The study highlights a path towards more robust computational approaches in many-body physics.