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quant-ph2026
The pros and cons of using deep reinforcement learning or genetic algorithms to design control schemes for quantum state transfer on qubit chains
Sofía Perón Santana, Ariel Fiuri, Martín Domínguez +1
In recent years, control methods based on different optimization techniques have shed light on the possibilities of processing information in many quantum systems. When exploring t…
quant-ph2025
Optimización de la Transmisión de Estados Cuánticos en Cadenas de Qubits usando Deep Reinforcement Learning y Algoritmos Genéticos
Sofía Perón Santana, Ariel Fiuri, Omar Osenda +1
Quantum state transfer (QST) via homogeneous spin chains plays a crucial role in building scalable quantum hardware. A basic quantum state transmission protocol prepares a state in…
quant-ph2024
Quantum state transfer performance of Heisenberg spin chains with site-dependent interactions designed using a generic genetic algorithm
Sofía Perón Santana, Martín Domíguez, Omar Osenda
Designing a good transfer channel for arbitrary quantum states in spin chains implies optimizing a cost function, usually the averaged fidelity of transmission. The fidelity of tra…