US2022245497A1PendingUtilityA1

Quantum Approximate Optimization

Assignee: RIGETTI & CO LLCPriority: Mar 10, 2017Filed: Sep 13, 2021Published: Aug 4, 2022
Est. expiryMar 10, 2037(~10.6 yrs left)· nominal 20-yr term from priority
G06N 10/60G06F 15/76G06F 17/17G06F 15/82G06N 10/00
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Claims

Abstract

In a general aspect, a computing system is configured to execute a quantum approximate optimization algorithm. In some aspects, a control system identifies a pair of qubit devices in a quantum processor. The quantum processor includes a connection that provides coupling between the pair of qubit devices. ZZ coupling between the pair of qubit devices is activated to execute a cost function defined in the quantum approximate optimization algorithm. The cost function is associated with a maximum cut problem, and the ZZ coupling is activated by allowing the pair of qubits to evolve under a natural Hamiltonian for a time period τ. One or more of the pair of qubit devices is measured to obtain an output from an execution of the quantum approximate optimization algorithm.

Claims

exact text as granted — not AI-modified
1 . A quantum computing method comprising:
 by operation of a control system in a quantum computing system, identifying a pair of qubit devices in a quantum processor, wherein the quantum processor comprises a connection that provides coupling between the pair of qubit devices;   activating a coupling between the pair of qubit devices to execute a cost function defined in a quantum approximate optimization algorithm, the cost function being associated with a maximum cut problem, wherein the coupling is activated by allowing the pair of qubits to evolve under a natural Hamiltonian for a time period τ; and   measuring one or more of the pair of qubit devices to obtain an output from an execution of the quantum approximate optimization algorithm.   
     
     
         2 - 24 . (canceled)

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