4 papers · 1 filter
Reinforcement Learning to Disentangle Multiqubit Quantum States from Partial Observations
Pavel Tashev, Stefan Petrov, Matthew T. Diaz +4
Using partial knowledge of a quantum state to control multiqubit entanglement is a largely unexplored paradigm in the emerging field of quantum interactive dynamics with the potent…
Predicting Dynamics from Flows of the Eigenstate Thermalization Hypothesis
Dominik Hahn, David M. Long, Marin Bukov +1
Analytical treatments of far-from-equilibrium quantum dynamics are few, even in well-thermalizing systems. The celebrated eigenstate thermalization hypothesis (ETH) provides a post…
Learning to stabilize nonequilibrium phases of matter with active feedback using partial information
Giovanni Cemin, Markus Schmitt, Marin Bukov
We investigate the role of information in active feedback control of quantum many-body systems using reinforcement learning. Active feedback breaks detailed balance, enabling the e…
Reinforcement learning pulses for transmon qubit entangling gates
Ho Nam Nguyen, Felix Motzoi, Mekena Metcalf +3
The utility of a quantum computer depends heavily on the ability to reliably perform accurate quantum logic operations. For finding optimal control solutions, it is of particular i…