Invention Grant
- Patent Title: Quantum circuit optimization using machine learning
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Application No.: US16394133Application Date: 2019-04-25
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Publication No.: US11321625B2Publication Date: 2022-05-03
- Inventor: Jay M. Gambetta , Ismael Faro Sertage , Ali Javadiabhari , Francisco Jose Martin Fernandez , Peng Liu , Marco Pistoia
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Garg Law Firm, PLLC
- Agent Rakesh Garg; Joseph Petrokaitis
- Main IPC: G06N10/00
- IPC: G06N10/00 ; B82Y10/00

Abstract:
A hybrid data processing environment comprising a classical computing system and a quantum computing system is configured. A configuration of a first quantum circuit is produced from the classical computing system, the first quantum circuit being executable using the quantum computing system. Using the quantum computing system, the first quantum circuit is executed. Using a pattern recognition technique, a portion of the first quantum circuit that can be transformed using a first transformation operation to satisfy a constraint on the quantum circuit design is identified. The portion is transformed to a second quantum circuit according to the first transformation operation, wherein the first transformation operation comprises reconfiguring a gate in the first quantum circuit such that a qubit used in the gate complies with the constraint on the quantum circuit design while participating in the second quantum circuit. Using the quantum computing system, the second quantum circuit is executed.
Public/Granted literature
- US20200342344A1 QUANTUM CIRCUIT OPTIMIZATION USING MACHINE LEARNING Public/Granted day:2020-10-29
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