SPARSE NOISE TOMOGRAPHY-BASED QUBIT MAPPING

Abstract: one or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to sparse noise tomography-based qubit mapping. the computer-implemented system can comprise a memory that can store computer executable components. the computer-implemented system can further comprise a processor that can execute the computer executable components stored in the memory, wherein the computer executable components can comprise a learning component that can employ sparse tomography to learn noise of a quantum computing device to build a sparse noise model of the quantum computing device, and a selection component that can select, based on the sparse noise model and a quantum circuit, nodes and edges of a graph topology of the quantum computing device by removing selected qubits. furthermore, sets of embedding layouts of the quantum circuit on remaining graph fragments can be scored based on the sparse noise model to select an optimal virtual-to-physical qubit mapping.

Inventor(s): Ritajit Majumdar, Bibek Pokharel, Zlatko Kristev Minev, Mirko Amico

CPC Classification: G06N10/60 (Quantum algorithms, e.g. based on quantum optimisation, quantum Fourier or Hadamard transforms)

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