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Patent drawing for Solving optimization problems using a hybrid computer system
US 12,067,075 B1
Computing US 12,067,075 B1 Not in force

Solving optimization problems using a hybrid computer system

This invention describes a way to solve very complex optimization problems by splitting the work between a regular computer and a quantum computer. The regular computer handles the easier parts, then a quantum computer, specifically one built with a superconducting circuit, works with the regular computer to solve the remaining, harder parts using a quantum approximate optimization algorithm (QAOA). The solution is then put back together. The claims narrow this to mapping the problem to the specific connections of qubits in the quantum processor.

Why it matters: The availability and fidelity of superconducting quantum processors, and the software tools for implementing QAOA, have likely advanced since 2023, making practical application more feasible.

Status
Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build
SpecializedQuantum computer hardware, specialized algorithms

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