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Hybrid quantum-classical algorithms compute molecular energies using quantum devices for static correlation and classical computers for dynamic correlation. This new method uses a 2-electron reduced density matrix (2-RDM) to achieve accurate results for complex chemical systems.

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Area of Science:

  • Quantum computing
  • Computational chemistry
  • Quantum-classical algorithms

Background:

  • Quantum devices struggle with large chemical systems due to exponential scaling.
  • Hybrid quantum-classical algorithms offer a path to quantum advantage by dividing computational tasks.
  • Existing methods often rely on the total wave function, complicating classical post-processing.

Purpose of the Study:

  • To develop a novel hybrid quantum-classical algorithm for calculating all-electron energies of strongly correlated molecules.
  • To circumvent the need for the total wave function in calculations by utilizing the 2-electron reduced density matrix (2-RDM).
  • To demonstrate the algorithm's accuracy and applicability on noisy intermediate-scale quantum devices.

Main Methods:

  • Evaluated the 2-electron reduced density matrix (2-RDM) on a quantum device.
  • Employed density matrix methods (anti-Hermitian contracted Schrödinger equation (ACSE) and multiconfiguration pair-density functional theories) on a classical computer.
  • Utilized a quantum ACSE method for simulating the statically correlated 2-RDM.

Main Results:

  • Successfully computed the all-electron energy of a strongly correlated molecular system.
  • Achieved experimental accuracy for the relative energies of all three benzyne isomers.
  • Demonstrated the algorithm's ability to yield chemically relevant and accurate results.

Conclusions:

  • The developed hybrid algorithm effectively calculates molecular energies from a quantum-computed 2-RDM.
  • This approach bypasses wave function dependence, enabling simpler classical post-processing.
  • The method shows promise for accurate chemical simulations on current quantum hardware.