Invention Grant
- Patent Title: Noise reduced circuits for trapped-ion quantum computers
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Application No.: US16578142Application Date: 2019-09-20
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Publication No.: US11455563B2Publication Date: 2022-09-27
- Inventor: Omar Shehab , Isaac Hyun Kim
- Applicant: IONQ, INC.
- Applicant Address: US MD College Park
- Assignee: IONQ, INC.
- Current Assignee: IONQ, INC.
- Current Assignee Address: US MD College Park
- Agency: Patterson + Sheridan LLP
- Main IPC: G06N10/00
- IPC: G06N10/00 ; G06E3/00

Abstract:
Embodiments described herein are generally related to a method and a system for performing a computation using a hybrid quantum-classical computing system, and, more specifically, to providing an approximate solution to an optimization problem using a hybrid quantum-classical computing system that includes a group of trapped ions. A hybrid quantum-classical computing system that is able to provide a solution to a combinatorial optimization problem may include a classical computer, a system controller, and a quantum processor. The methods and systems described herein include an efficient and noise resilient method for constructing trial states in the quantum processor in solving a problem in a hybrid quantum-classical computing system, which provides improvement over the conventional method for computation in a hybrid quantum-classical computing system.
Public/Granted literature
- US20200372390A1 NOISE REDUCED CIRCUITS FOR TRAPPED-ION QUANTUM COMPUTERS Public/Granted day:2020-11-26
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