AI summary · arXiv: 2205.00864v2 · nucl-th

Quantum computing of the $^6$Li nucleus via ordered unitary coupled clusters

Oriel Kiss, Michele Grossi, Pavel Lougovski, Federico Sanchez, Sofia Vallecorsa, Thomas Papenbrock
Original paper · DOI 10.1103/physrevc.106.034325 Submitted to arXiv on 02 May. 2022 Phys. Rev. C 106, 034325 (2022) 9 pages, 2 figures, 2 tables License: NONEXCLUSIVE-DISTRIB 1.0

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The essentials

  • The variational quantum eigensolver (VQE) is used to calculate ground and excited state energies of quantum many-body systems.
  • Construction of a parametrized trial wavefunction, known as a variational ansatz, is crucial for the VQE algorithm.
  • The wavefunction should accurately represent the true eigenstate and be trainable without exponential growth in parameters.
  • VQE is applied to study ground and excited state energies of $^6$Li, an odd-odd nucleus.
  • Effects of ordering fermionic excitation operators in the unitary coupled clusters ansatz on VQE convergence are investigated.
  • Accuracy is significantly improved by two orders of magnitude using descending order operators that preserve the $J_z$ quantum number.
  • Classical state-vector simulators with arbitrary measurement accuracy are used to determine optimal ansatz parameter values.
  • Energy eigenstates of $^6$Li are evaluated on an IBM superconducting quantum chip using these parameter values.
  • Error mitigation techniques are applied during post-processing to enhance accuracy further.
  • Results show impressive accuracy in reproducing exact energy values for both ground and first excited states of $^6$Li.
  • Reported errors are 3.8% for the ground state and 0.1% for the first excited state.
  • VQE can effectively compute energy properties of complex quantum systems like nuclei by refining and optimizing variational ansatz constructions through careful operator ordering consideration.

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AI-generated keywords: VQE quantum many-body systems variational ansatz fermionic excitation operators error mitigation techniques

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  • Original abstract
The variational quantum eigensolver (VQE) is a powerful algorithm used to calculate the ground and excited state energies of quantum many-body systems. One crucial aspect of this algorithm is the construction of a parametrized trial wavefunction, also known as a variational ansatz. The goal is to find a wavefunction that can accurately represent the true eigenstate of a quantum system for specific parameter values. However, it is equally important for the wavefunction to be trainable, meaning that the number of parameters should not grow exponentially with the size of the system. In this study, the authors apply VQE to investigate the ground and excited state energies of an odd-odd nucleus called $^6$Li. They specifically focus on studying the effects of ordering fermionic excitation operators in the unitary coupled clusters ansatz on the convergence of the VQE algorithm. By utilizing only operators that preserve the $J_z$ quantum number, they are able to significantly improve accuracy by two orders of magnitude when using descending order. To determine optimal ansatz parameter values, classical state-vector simulators with arbitrary measurement accuracy are employed. These values are then utilized to evaluate energy eigenstates of $^6$Li on an IBM superconducting quantum chip. To enhance accuracy further, error mitigation techniques are applied during post-processing. The results obtained from this study demonstrate impressive accuracy in reproducing exact energy values for both ground and first excited states of $^6$Li. The error is reported to be 3.8% for the ground state and 0.1% for the first excited state. Overall, this research highlights how VQE can be effectively applied to compute energy properties of complex quantum systems like nuclei. By refining and optimizing variational ansatz constructions through careful consideration of operator ordering, significant improvements in convergence and accuracy can be achieved.

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