Abstract: In a general aspect, a quantum program is automatically synthesized. In some implementations, artificial intelligence systems are used to generate a quantum program to run on a quantum computer. In some aspects, quantum processor output data are generated by a quantum resource executing an initial version of a quantum program, and quantum state information is computed from the quantum processor output data. Neural network input data, which include the quantum state information and a representation of a problem to be solved by the quantum program, are provided to a neural network. Neural network output data are generated by the neural network processing the neural network input data. A quantum logic gate is selected based on the neural network output data. An updated version of the quantum program that includes the selected quantum logic gate is generated.

Abstract: In a general aspect, an optimization problem is solved using a hybrid computing system. A classical processor unit receives a first data structure that represents the optimization problem. The classical processor unit executes a branch-and-bound process on the first data structure to generate values for a first subset of elements of a solution to the optimization problem. A second data structure is generated based on the first data structure and the first subset of elements. The second data structure represents a reduced version of the optimization problem. A quantum processor unit and a classical processor unit are used to execute a quantum approximate optimization algorithm (QAOA) on the second data structure to generate values for a second subset of the elements of the solution to the optimization problem. The first subset and second subset are combined to obtain the solution to the optimization problem.

Abstract: In a general aspect, a quantum logic circuit is executed on multiple processing nodes in a computing system that includes quantum computing resources. In some aspects, methods of operating the computing system may include obtaining a computer program that includes a quantum logic circuit. The methods may include obtaining hardware resource metadata specifying properties of processing nodes in the computing system. The processing nodes include at least a subset of the quantum computing resources, and the hardware resource metadata includes error rate information and availability information for the respective processing nodes. The methods may include generating execution tasks configured to execute the quantum logic circuit on the processing nodes based on the hardware resource metadata; dispatching the execution tasks to the processing nodes; receiving output data generated by the processing nodes; and producing an output of the computer program based on the output data.