3 papers
quant-ph2025
Reinforcement Learning for Optimizing Large Qubit Array based Quantum Sensor Circuits
Laxmisha Ashok Attisara, Sathish Kumar
As the number of qubits in a sensor increases, the complexity of designing and controlling the quantum circuits grows exponentially. Manually optimizing these circuits becomes infe…
quant-ph2025
Quantum Machine Learning for Optimizing Entanglement Distribution in Quantum Sensor Circuits
Laxmisha Ashok Attisara, Sathish Kumar
In the rapidly evolving field of quantum computing, optimizing quantum circuits for specific tasks is crucial for enhancing performance and efficiency. More recently, quantum sensi…
quant-ph2025
HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits
Ahmad Alomari, Sathish A. P. Kumar
This study proposes an HCQA for designing optimal Quantum Sensor Circuits (QSCs) to address complex quantum physics problems. The HCQA integrates computational intelligence techniq…