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Quantum Simulation of Molecules in Solution.

Davide Castaldo1, Soran Jahangiri2, Alain Delgado2

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This study introduces a quantum computing method to simulate molecules in solution, crucial for chemistry. The approach accurately models solvation effects without compromising computational efficiency.

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Area of Science:

  • Quantum Computing
  • Computational Chemistry
  • Theoretical Chemistry

Background:

  • Quantum chemical calculations traditionally focus on gas-phase molecules.
  • Simulating molecules in liquid solution is essential for chemical applications.
  • Continuum solvation models offer a balance of accuracy and computational cost for solvation effects.

Purpose of the Study:

  • To extend the variational quantum eigensolver for simulating solvated quantum systems.
  • To incorporate the polarizable continuum model into quantum chemical simulations.
  • To generalize the algorithm for non-linear molecular Hamiltonians to handle state-dependent solute-solvent interactions.

Main Methods:

  • Extension of the variational quantum eigensolver algorithm.
  • Implementation of the polarizable continuum model for solvation.
  • Generalization to treat non-linear molecular Hamiltonians for quantum systems.

Main Results:

  • Solvation effects were successfully incorporated without impacting algorithmic efficiency.
  • Noiseless simulations were performed on molecular systems up to 12 spin-orbitals (qubits).
  • Simulations on noisy quantum hardware showed reasonable agreement with classical calculations for solvation free energies.

Conclusions:

  • The developed quantum algorithm effectively simulates solvated molecules.
  • The method shows promise for accurate quantum chemical calculations in solution.
  • This work advances the application of quantum computing in chemistry.