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Quantum computing offers a new path for simulating weak, dynamic non-covalent interactions. This study presents a quantum-centric framework, achieving high accuracy in binding energy calculations for molecular dimers.

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Area of Science:

  • Computational Chemistry
  • Quantum Computing
  • Molecular Interactions

Background:

  • Non-covalent interactions are crucial in chemistry but challenging to model accurately due to their weak and dynamic nature.
  • Current high-accuracy methods, relying on quantum mechanics, are computationally expensive and lack scalability.
  • The potential of quantum computing to overcome these limitations for electronic structure calculations remains largely unexplored.

Purpose of the Study:

  • To develop and present a quantum-centric simulation framework for non-covalent interactions.
  • To assess the accuracy and scalability of quantum computing approaches for binding energy calculations.
  • To lay the groundwork for future electronic structure calculations on quantum hardware.

Main Methods:

  • Utilized a supramolecular approach for binding energy calculations.
  • Employed sample-based quantum diagonalization (SQD) to simulate potential energy surfaces (PES).
  • Benchmarked quantum simulations (27- and 36-qubit circuits) against classical computational chemistry methods.

Main Results:

  • Quantum simulations achieved deviations within 1.000 kcal/mol compared to leading classical methods.
  • Successfully simulated hydrogen bond and dispersion interactions in water and methane dimers.
  • Explored the capabilities of quantum methods for dispersion interactions using a 54-qubit experiment.

Conclusions:

  • Quantum computing can achieve state-of-the-art accuracy for non-covalent interaction simulations.
  • The presented framework provides a viable pathway for quantum electronic structure calculations.
  • This work demonstrates the potential of quantum-centric simulations to advance computational chemistry.