GPA: Grover Policy Agent for Generating Optimal Quantum Sensor Circuits

• DOI: 10.48550/arxiv.2502.13755
• Publication Date: 2025-02-19
• Authors: Ahmad Alomari; Sathish Kumar
• Keywords: FOS: Computer and information sciences; Quantum Physics; Artificial Intelligence (cs.AI); Computer Science - Artificial Intelligence; FOS: Physical sciences; Quantum Physics (quant-ph)

This study proposes a GPA for designing optimal Quantum Sensor Circuits (QSCs) to address complex quantum physics problems. The consists of two parts: the Policy Evaluation (QPE) and Improvement (QPI). QPE performs phase estimation generate search space, while QPI utilizes Grover amplitude amplification techniques efficiently identify an policy that generates QSCs. QSCs by selecting sequences gates maximize Fisher Information (QFI) minimizing number gates. generated are capable producing entangled states, specifically squeezed states. High QFI indicates increased sensitivity parameter changes, making circuit useful state control tasks. on QSC qubits sequence R_x, R_y, S demonstrates its efficiency in generating with 1. Compared existing agents, achieves higher fewer gates, demonstrating more efficient scalable approach design work illustrates potential computational power agents solving problems