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Variational Quantum Chemistry Programs in JaqalPaq.

Oliver G Maupin1, Andrew D Baczewski2,3,4, Peter J Love1,5

  • 1Department of Physics and Astronomy, Tufts University, Medford, MA 02155, USA.

Entropy (Basel, Switzerland)
|June 2, 2021
PubMed
Summary
This summary is machine-generated.

We demonstrate quantum chemistry simulations using JaqalPaq on the QSCOUT platform. These simulations accurately compute molecular ground state energies, validating new quantum programming methods.

Keywords:
NISQ algorithmsion trap quantum computingquantum chemistryquantum computingquantum simulationquantum software

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Area of Science:

  • Quantum Computing
  • Computational Chemistry
  • Quantum Algorithms

Background:

  • Developing efficient quantum algorithms for molecular simulations is crucial for advancing computational chemistry.
  • The Quantum Scientific Computing Open User Testbed (QSCOUT) provides a platform for executing quantum algorithms.
  • Jaqal (Just Another Quantum Assembly Language) and its meta-programming language JaqalPaq facilitate the coding of quantum algorithms.

Purpose of the Study:

  • To present example quantum chemistry programs written in JaqalPaq.
  • To demonstrate the computation of ground state energies for H2, HeH+, and LiH molecules using the variational quantum eigensolver (VQE) algorithm.
  • To emulate the execution of these JaqalPaq algorithms on the QSCOUT platform and compare results with exact calculations.

Main Methods:

  • Utilized JaqalPaq, a Python meta-programming language, to write quantum chemistry algorithms in Jaqal.
  • Employed the variational quantum eigensolver (VQE) quantum algorithm for energy computations.
  • Leveraged PySCF for calculating second-quantized Hamiltonians and OpenFermion for fermion-to-qubit mappings.
  • Emulated algorithm execution on an error-free QSCOUT platform using JaqalPaq's emulator functionality.

Main Results:

  • Successfully computed ground state energies for H2, HeH+, and LiH molecules using JaqalPaq exemplars.
  • Emulated bond-dissociation curves for these molecules showed agreement with exact theoretical calculations.
  • Demonstrated the feasibility of using JaqalPaq for quantum chemistry simulations on the QSCOUT platform.

Conclusions:

  • JaqalPaq is a viable tool for programming quantum chemistry applications.
  • The VQE algorithm, implemented via JaqalPaq, can accurately determine molecular energies.
  • Emulation on the QSCOUT platform provides a reliable method for verifying quantum algorithm performance.