CIRCUIT CUTTING TAKING INTO ACCOUNT TRANSPILATION ERROR

Cutting quantum circuits is disclosed. Solutions to a cutting problem of cutting a quantum circuit into quantum subcircuits are represented in a tree structure. Selected nodes are queried using a machine learning model to generate predicted transpilation metrics such as estimated transpilation error...

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Bibliographische Detailangaben
Hauptverfasser: Quiñones, Miguel Paredes, Pinho, Rômulo Teixeira de Abreu
Format: Patent
Sprache:eng
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Zusammenfassung:Cutting quantum circuits is disclosed. Solutions to a cutting problem of cutting a quantum circuit into quantum subcircuits are represented in a tree structure. Selected nodes are queried using a machine learning model to generate predicted transpilation metrics such as estimated transpilation error. If the prediction associated with a node fails such that the predicted transpilation error in a simulated quantum computing system is greater than an error threshold or constraint, the corresponding solutions represented by the node and the node's children are pruned from the tree structure.