Quantum Approximate Optimization
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-modified1 . 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.
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