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Quantum Algorithm for Numerical Energy Gradient Calculations at the Full Configuration Interaction Level of Theory
Kenji Sugisaki1,2,3, Hiroyuki Wakimoto1, Kazuo Toyota1
1Department of Chemistry, Graduate School of Science, Osaka Metropolitan University, 3-3-138 Sugimoto, Sumiyoshi-ku, Osaka558-8585, Japan.
This study extends the Bayesian phase difference estimation (BPDE) algorithm for calculating molecular energy differences. This quantum computing approach enables direct geometry optimization of molecules using full configuration interaction calculations.
Area of Science:
- Quantum Computing
- Computational Chemistry
- Quantum Algorithms
Background:
- The Bayesian phase difference estimation (BPDE) algorithm enables direct computation of energy gaps between electronic states using quantum superposition.
- Calculating energy differences between molecular geometries is crucial for understanding molecular behavior and chemical reactions.
Purpose of the Study:
- To extend the BPDE algorithm for the direct calculation of energy differences between two molecular geometries.
- To apply the extended BPDE algorithm for quantum-assisted molecular geometry optimization.
Main Methods:
- Extension of the BPDE algorithm to calculate energy differences for distinct molecular geometries.
- Application of the two-point finite-difference method for numerical energy gradient calculations.
- Full configuration interaction (full-CI) calculations performed on a quantum computer.
Main Results:
- Successful numerical quantum circuit simulations of geometry optimization for various molecules (H2, LiH, BeH2, N2).
- Demonstrated feasibility of full-CI level geometry optimization for 1D molecules using the extended BPDE algorithm.
- Validation of the approach using different basis sets (STO-3G, 6-31G, 6-311G*) and active space configurations (CASCI(6e,6o)).
Conclusions:
- The extended BPDE algorithm provides a direct and efficient method for calculating molecular energy differences and performing geometry optimizations on quantum computers.
- This work paves the way for more complex quantum computational chemistry applications, including accurate molecular structure determination.
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