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Linked coupled cluster Monte Carlo.

R S T Franklin1, J S Spencer2, A Zoccante1

  • 1University Chemical Laboratory, Cambridge University, Lensfield Road, Cambridge CB2 1EW, United Kingdom.

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|February 1, 2016
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Summary
This summary is machine-generated.

A new stochastic coupled cluster method formulation significantly reduces computational costs by improving wavefunction representation granularity. This advancement enables the treatment of larger, more complex systems with higher excitation levels, expanding the method

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Area of Science:

  • Quantum Chemistry
  • Computational Chemistry
  • Theoretical Chemistry

Background:

  • Stochastic coupled cluster (CC) methods offer a computationally tractable approach to electronic structure calculations.
  • Conventional deterministic CC methods face limitations in treating large systems due to high computational scaling.
  • Accurate representation of the electronic wavefunction is crucial for reliable quantum chemical predictions.

Purpose of the Study:

  • To introduce a novel formulation of the stochastic coupled cluster (SCC) method.
  • To investigate the impact of improved wavefunction representation granularity on computational cost.
  • To assess the applicability of the new method to larger systems and higher excitation levels.

Main Methods:

  • Development of a new SCC formulation utilizing a similarity transformed Hamiltonian.
  • Systematic analysis of wavefunction sampling requirements across various molecular systems.
  • Evaluation of computational cost reduction as a function of wavefunction representation granularity.

Main Results:

  • The new SCC formulation demonstrates a reduction in the critical population needed for accurate wavefunction sampling.
  • Improved granularity in wavefunction representation leads to substantial decreases in computational expense.
  • The method shows efficacy for a range of systems and excitation levels, outperforming conventional approaches.

Conclusions:

  • The enhanced SCC method significantly lowers computational demands, making larger quantum chemical problems tractable.
  • This development broadens the scope of stochastic coupled cluster methods, enabling studies of previously inaccessible systems.
  • The approach holds promise for advancing quantum chemistry calculations in various scientific domains.