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Two-Qubit Gate Set Tomography with Fewer Circuits

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arxiv 2307.15767 v2 pith:JAFYWRYQ submitted 2023-07-28 quant-ph

Two-Qubit Gate Set Tomography with Fewer Circuits

classification quant-ph
keywords circuitscostdesignsexperimentexperimentalgateinformationquantum
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Gate set tomography (GST) is a self-consistent and highly accurate method for the tomographic reconstruction of a quantum information processor's quantum logic operations, including gates, state preparations, and measurements. However, GST's experimental cost grows exponentially with qubit number. For characterizing even just two qubits, a standard GST experiment may have tens of thousands of circuits, making it prohibitively expensive for platforms. We show that, because GST experiments are massively overcomplete, many circuits can be discarded. This dramatically reduces GST's experimental cost while still maintaining GST's Heisenberg-like scaling in accuracy. We show how to exploit the structure of GST circuits to determine which ones are superfluous. We confirm the efficacy of the resulting experiment designs both through numerical simulations and via the Fisher information for said designs. We also explore the impact of these techniques on the prospects of three-qubit GST.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Scalable linearized gate set tomography

    quant-ph 2026-05 unverdicted novelty 7.0

    Linearized gate set tomography scales error characterization to many qubits via sparse models, linear fitting, and shallow circuits, with simulations showing accuracy on 10-qubit systems including crosstalk.

  2. Near-Minimal Gate Set Tomography Experiment Designs

    quant-ph 2023-08 unverdicted novelty 7.0

    A method to create near-minimal GST experiment designs for two qubits that maintain Heisenberg-like precision scaling with far fewer circuits than standard designs.