Patent ID: 11928586
Assignee: GOOGLE LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 18:
19. A system comprising:
one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations for designing a quantum control trajectory for implementing a quantum gate using quantum hardware, the operations comprising:
representing the quantum gate as a sequence of control actions;
applying a reinforcement learning model to iteratively adjust each control action in the sequence of control actions to determine a quantum control trajectory that implements the quantum gate and reduces leakage, infidelity and total runtime of the quantum gate during the iterative adjustments, comprising, for each iteration:
determining, by an agent, a control action for the iteration based on a current state of a quantum system included in the quantum hardware;
updating, by a training environment, the current state of the quantum system to a subsequent state of the quantum system using the determined control action and sample control noise;
determining, by the agent, a discounted future reward using i) a universal control cost function that penalizes leakage, infidelity and total gate runtime as a reinforcement learning discounted future reward function and ii) the updated state of the quantum system; and
adjusting, by the agent and based on the determined discounted future reward, values of one or more control trajectory parameters for the iteration; and

quantum computing hardware configured to perform operations comprising implementing the quantum gate using the quantum control trajectory.