Tootfinder

Optimizaci\'on de la Transmisi\'on de Estados Cu\'anticos en Cadenas de Qubits usando Deep Reinforcement Learning y Algoritmos Gen\'eticos
Sof\'ia Per\'on Santana, Ariel Fiuri, Omar Osenda, Mart\'in Dom\'inguez
https://arxiv.org/abs/2510.05010

Optimización de la Transmisión de Estados Cuánticos en Cadenas de Qubits usando Deep Reinforcement Learning y Algoritmos Genéticos
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 one qubit and transfers it to another through a channel, seeking to minimize the time and avoid information loss. The fidelity of the process is measured by functions proportional to the transition probability between both states. We approach this optimization problem using constant magnetic pulses and two complement…