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Probing Context-Dependent Errors in Quantum Processors
by
Rudinger, Kenneth
, Langharst, Dylan
, Blume-Kohout, Robin
, Proctor, Timothy
, Sarovar, Mohan
, Young, Kevin
in
Circuits
/ Context
/ Crosstalk
/ Data collection
/ Drift
/ Gates (circuits)
/ Processors
/ Quantum computing
/ Quantum phenomena
/ Qubits (quantum computing)
/ Stability tests
/ Statistical methods
/ Statistical tests
/ Test stands
/ Time dependence
/ Time of use
2019
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Probing Context-Dependent Errors in Quantum Processors
by
Rudinger, Kenneth
, Langharst, Dylan
, Blume-Kohout, Robin
, Proctor, Timothy
, Sarovar, Mohan
, Young, Kevin
in
Circuits
/ Context
/ Crosstalk
/ Data collection
/ Drift
/ Gates (circuits)
/ Processors
/ Quantum computing
/ Quantum phenomena
/ Qubits (quantum computing)
/ Stability tests
/ Statistical methods
/ Statistical tests
/ Test stands
/ Time dependence
/ Time of use
2019
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Do you wish to request the book?
Probing Context-Dependent Errors in Quantum Processors
by
Rudinger, Kenneth
, Langharst, Dylan
, Blume-Kohout, Robin
, Proctor, Timothy
, Sarovar, Mohan
, Young, Kevin
in
Circuits
/ Context
/ Crosstalk
/ Data collection
/ Drift
/ Gates (circuits)
/ Processors
/ Quantum computing
/ Quantum phenomena
/ Qubits (quantum computing)
/ Stability tests
/ Statistical methods
/ Statistical tests
/ Test stands
/ Time dependence
/ Time of use
2019
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Journal Article
Probing Context-Dependent Errors in Quantum Processors
2019
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Overview
Gates in error-prone quantum information processors are often modeled using sets of one- and two-qubit process matrices, the standard model of quantum errors. However, the results of quantum circuits on real processors often depend on additional external “context” variables. Such contexts may include the state of a spectator qubit, the time of data collection, or the temperature of control electronics. In this article, we demonstrate a suite of simple, widely applicable, and statistically rigorous methods for detecting context dependence in quantum-circuit experiments. They can be used on any data that comprise two or more “pools” of measurement results obtained by repeating the same set of quantum circuits in different contexts. These tools may be integrated seamlessly into standard quantum device characterization techniques, like randomized benchmarking or tomography. We experimentally demonstrate these methods by detecting and quantifying crosstalk and drift on the publicly accessible 16-qubit ibmqx3.
Publisher
American Physical Society
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