Quantum Algorithmic Approach to Multiconfigurational Valence Bond Theory: Insights from Interpretable Circuit Design

Area of Science:

• Quantum Computing
• Quantum Chemistry

Background:

• Efficient preparation of Fermionic ground states is crucial for quantum computing applications in chemistry and materials science.
• Current methods for preparing ground states lack clear performance guidelines for different quantum systems.

Purpose of the Study:

• To develop an optimized and explainable method for preparing Fermionic ground states on quantum computers.
• To evaluate the performance of the new methodology against existing techniques.

Main Methods:

• Combines interpretable quantum circuit designs with an effective basis approach.
• Optimizes a multiconfigurational valence bond wave function.
• Evaluates performance on selected model systems.

Main Results:

• The developed methodology achieves explainable performance.
• Outperforms related methods in terms of effective basis size.
• Demonstrates superior efficiency in quantum resource utilization for circuits.

Conclusions:

• The new approach provides an efficient and explainable way to prepare Fermionic ground states.
• This method offers advantages in basis size and quantum resource management for quantum computations.