TY - JOUR
T1 - Reinforcement learning-enhanced protocols for coherent population-transfer in three-level quantum systems
AU - Brown, Jonathon
AU - Sgroi, Pierpaolo
AU - Giannelli, Luigi
AU - Paraoanu, Gheorghe Sorin
AU - Paladino, Elisabetta
AU - Falci, Giuseppe
AU - Paternostro, Mauro
AU - Ferraro, Alessandro
PY - 2021/9/24
Y1 - 2021/9/24
N2 - We deploy a combination of reinforcement learning-based approaches and more traditional optimization techniques to identify optimal protocols for population transfer in a multi-level system. We constrain our strategy to the case of fixed coupling rates but time-varying detunings, a situation that would simplify considerably the implementation of population transfer in relevant experimental platforms, such as semiconducting and superconducting ones. Our approach is able to explore the space of possible control protocols to reveal the existence of efficient protocols that, remarkably, differ from (and can be superior to) standard Raman, stimulated Raman adiabatic passage or other adiabatic schemes. The new protocols that we identify are robust against both energy losses and dephasing.
AB - We deploy a combination of reinforcement learning-based approaches and more traditional optimization techniques to identify optimal protocols for population transfer in a multi-level system. We constrain our strategy to the case of fixed coupling rates but time-varying detunings, a situation that would simplify considerably the implementation of population transfer in relevant experimental platforms, such as semiconducting and superconducting ones. Our approach is able to explore the space of possible control protocols to reveal the existence of efficient protocols that, remarkably, differ from (and can be superior to) standard Raman, stimulated Raman adiabatic passage or other adiabatic schemes. The new protocols that we identify are robust against both energy losses and dephasing.
KW - Paper
KW - quantum control
KW - reinforcement learning
KW - condensed matter physics
U2 - 10.1088/1367-2630/ac2393
DO - 10.1088/1367-2630/ac2393
M3 - Article
VL - 23
JO - New Journal of Physics
JF - New Journal of Physics
SN - 1367-2630
IS - 9
M1 - 093035
ER -