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Quantum-inspired methods enhance electronic structure calculations on classical computers. New amplitude optimization schemes for iterative qubit coupled cluster (iQCC) improve efficiency and accuracy for molecular simulations.

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Area of Science:

  • Quantum computing
  • Computational chemistry
  • Electronic structure theory

Background:

  • Quantum computing is driving the development of new electronic structure methods.
  • Quantum hardware limitations necessitate quantum-inspired algorithms for classical implementation.
  • Efficient algorithms are crucial for exploiting the potential of quantum-inspired methods.

Purpose of the Study:

  • To introduce two novel schemes for optimizing amplitudes in the iterative qubit coupled cluster (iQCC) method.
  • To enhance the efficiency and accuracy of quantum-inspired electronic structure calculations.
  • To enable larger and more complex molecular systems to be studied.

Main Methods:

  • Developed a variational quantum eigensolver-type approach approximating the qubit coupled cluster (QCC) unitary with polynomial expansions.
  • Introduced a second scheme to limit the expansion space of the QCC unitary for memory control.
  • Applied these schemes to optimize QCC amplitudes for molecular systems.

Main Results:

  • The polynomial approximation scheme offers tunable computational complexity and smooth energy landscapes for gradient-based optimization.
  • The expansion space limitation scheme provides memory control and enables energy extrapolation.
  • Both schemes allow for more generators in the QCC form, reducing iterations and improving accuracy.
  • Successfully tested on dinitrogen, water, and Ir(F2ppy)3 molecular systems.

Conclusions:

  • The proposed amplitude optimization schemes significantly improve the performance of the iQCC method.
  • These advancements facilitate more accurate and efficient quantum-inspired electronic structure calculations.
  • The methods pave the way for tackling larger molecular systems on current and future hardware.