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Application US20200057957
Published 2020-02-20
Quantum Computer With Improved Quantum Optimization By Exploiting Marginal Data
A quantum optimization system and method estimate, on a classical computer and for a quantum state, an expectation value of a Hamiltonian, expressible as a linear combination of observables, based on expectation values of the observables; and transform, on the classical computer, one or both of the Hamiltonian and the quantum state to reduce the expectation value of the Hamiltonian.
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- 1. A quantum optimization method, comprising:
estimating, on a classical computer and for a quantum state, an expectation value of a Hamiltonian, expressible as a linear combination of observables, based on expectation values of the observables; and transforming, on the classical computer, one or both of the Hamiltonian and the quantum state to reduce the expectation value of the Hamiltonian.
- 25. A computing system configured for quantum optimization, comprising:
a processor; a memory communicably coupled with the processor and storing machine-readable instructions that, when executed by the processor, control the computing system to: estimate, for a quantum state, an expectation value of a Hamiltonian, expressible as a linear combination of observables, based on expectation values of the observables, and transform one or both of the Hamiltonian and the quantum state to reduce the expectation value of the Hamiltonian estimated for the quantum state.