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Program Synthesis of Sparse Algorithms for Wave Function and Energy Prediction in Grid-Based Quantum Simulations.

Scott Habershon1

  • 1Department of Chemistry, University of Warwick, Coventry, CV4 7AL, United Kingdom.

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Summary

Program synthesis (PS) creates self-writing code to solve the Schrödinger equation for molecular vibrations. This improved PS strategy accurately predicts wave functions and energy eigenvalues, offering computational advantages.

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Area of Science:

  • Computational Chemistry
  • Quantum Mechanics
  • Algorithm Development

Background:

  • Program synthesis (PS) has shown potential in generating algorithms for the vibrational Schrödinger equation.
  • Existing methods approximate wave functions for one-dimensional potential energy surfaces (PESs) using grid-based representations similar to discrete variable representation (DVR).

Purpose of the Study:

  • To enhance inductive PS strategies for predicting vibrational wave functions and energy eigenvalues.
  • To explore the application of PS to both one-dimensional and multidimensional model PESs.
  • To identify PS-generated algorithms with improved accuracy and computational efficiency.

Main Methods:

  • Utilizing an inductive program synthesis strategy to generate novel algorithms.
  • Employing grid-based representations for wave functions and PESs.
  • Testing algorithms on one-dimensional and multidimensional model PESs.

Main Results:

  • PS can generate algorithms that improve energy eigenvalue accuracy over standard DVR schemes.
  • PS identifies numerical methods employing sparse, tridiagonal matrices.
  • PS-generated algorithms reduce calculation times for grid-based eigenvector computation by over an order of magnitude for multidimensional problems.

Conclusions:

  • Enhanced PS strategies can effectively predict vibrational wave functions and energy eigenvalues.
  • PS offers computational advantages, including speed and sparse matrix utilization.
  • PS-generated algorithms show promise for quantum dynamics simulations and electronic structure evaluations.