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Variational quantum eigensolver for closed-shell molecules with non-bosonic corrections.

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This study introduces a novel quantum chemistry method using fewer qubits for accurate ground state energy calculations. The approach enhances variational quantum eigensolver (VQE) simulations for noisy quantum devices.

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Area of Science:

  • Quantum Computing
  • Computational Chemistry
  • Quantum Simulation

Background:

  • Noisy-intermediate-scale quantum (NISQ) devices present challenges for quantum advantage realization.
  • Maintaining qubit coherence and reducing algorithm complexity are critical for quantum simulations.
  • Variational Quantum Eigensolver (VQE) is a promising algorithm for quantum chemistry on NISQ hardware.

Purpose of the Study:

  • To investigate a reduced qubit mapping strategy for VQE to analyze ground state energy.
  • To develop a correction scheme for non-bosonic excitations in electron correlation models.
  • To assess the accuracy of the proposed method for molecular ground state energies.

Main Methods:

  • Reduced mapping of one spatial orbital to a single qubit.
  • Mapping Pauli operators to creation/annihilation of singlet electron pairs.
  • Introducing a correction scheme for non-bosonic excitations using geometrical mean of bosonic terms.
  • Employing the corrected model within a VQE algorithm.

Main Results:

  • Accurate ground state energies for H₂O, N₂, and Li₂O were obtained using significantly fewer qubits (6, 8, and 12, respectively).
  • Quantum gate depths scaled quadratically with qubit counts.
  • The seniority-zero approximation reduced qubit requirements by half compared to conventional VQE.
  • The non-bosonic correction method achieved reliable quantum chemistry simulations for tested systems.

Conclusions:

  • The proposed VQE approach with reduced mapping and non-bosonic correction enables efficient and accurate quantum simulations on NISQ computers.
  • This method significantly lowers qubit requirements and computational complexity for quantum chemistry.
  • The findings pave the way for practical quantum advantage in computational chemistry.