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Simulating and Mitigating Crosstalk.

Adam Winick1,2, Joel J Wallman1,2, Joseph Emerson1,2,3

  • 1Quantum Benchmark Inc., 51 Breithaupt Street Suite 100, Kitchener, Ontario N2H 4C3, Canada.

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Summary
This summary is machine-generated.

We developed a scalable framework to model and mitigate crosstalk in quantum processors. This software-based approach optimizes qubit control, improving high-fidelity operations despite unwanted interactions.

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Area of Science:

  • Quantum computing
  • Quantum information science
  • Superconducting qubits

Background:

  • Crosstalk, or unwanted interactions between qubits, is a significant challenge in building scalable quantum processors.
  • Minimizing crosstalk typically involves complex hardware engineering during fabrication.

Purpose of the Study:

  • To present an efficient and scalable computational framework for modeling crosstalk effects in quantum information processors.
  • To demonstrate the use of optimal control techniques to mitigate crosstalk and achieve high-fidelity operations.

Main Methods:

  • Developed a computational framework to model local and nonlocal crosstalk effects.
  • Applied optimal control theory to design control pulses for mitigating crosstalk.
  • Simulated a 2D square array of 100 superconducting transmon qubits.

Main Results:

  • The framework successfully models crosstalk in large qubit systems.
  • Optimal control techniques were shown to effectively tune-up parallel operations with high fidelity.
  • Demonstrated mitigation of substantial local and nonlocal crosstalk effects.

Conclusions:

  • Software-based mitigation of crosstalk is a viable alternative to hardware-based solutions.
  • Careful characterization and control optimization can largely overcome fabrication-induced crosstalk.
  • This approach enhances the scalability and reliability of quantum information processors.