OPTIMIZING QUANTUM COMPUTING CIRCUIT STATE PARTITIONS FOR SIMULATION

In various examples, systems and methods for optimizing quantum computing circuit state partitions for simulation are provided. A quantum state of a quantum circuit may be represented by one or more state vector partitions. Gate grouping, gate complexity, and/or qubit ordering optimization algorithm...

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Bibliographic Details
Main Authors JONES, Matthew, PATTI, Taylor Lee
Format Patent
LanguageEnglish
Published 19.09.2024
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:In various examples, systems and methods for optimizing quantum computing circuit state partitions for simulation are provided. A quantum state of a quantum circuit may be represented by one or more state vector partitions. Gate grouping, gate complexity, and/or qubit ordering optimization algorithms may be applied, and the one or more state vector partitions evaluated against a computing platform topology profile using a cost evaluation function. The cost evaluation function may estimate an efficiency associated with executing that the one or more state vector partitions given the processing resources of the currently available simulation platform for running the simulation. The one or more state vector partitions optimized for the simulation platform may be passed to the simulation platform in order to simulate the quantum circuit.
Bibliography:Application Number: US202318185870