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M50: Pulse Engineering and Circuit Compilation

Wed. March 6, 8:00 a.m. – 10:48 a.m. CST

200H

Sponsoring Units: DQIChair: Qi Ding, Massachusetts Institute of TechnologySession Tags:
  • Focus

Wed. March 6, 8:36 a.m. – 8:48 a.m. CST

200H

Superconducting quantum processors comprising flux-tunable data and coupler qubits are a promising platform for analog quantum simulation and digital quantum computation. One challenge to scaling this platform is the magnetic flux crosstalk between flux-control lines and qubits, which impedes precision control of qubit frequencies. To implement high-fidelity quantum operations as processor sizes increase, we need an extensible approach to measure flux crosstalk and compensate for it. We demonstrate the experimental performance of a learning-based approach to DC-flux and fast-flux crosstalk calibration on an array of 16 flux-tunable transmon qubits. The overall calibration time for this approach empirically scales linearly with system size, while achieving a median qubit frequency error below 300 kHz.

Presented By

  • Cora N Barrett (Massachusetts Institute of Technology)

Authors

  • Cora N Barrett (Massachusetts Institute of Technology)
  • Amir H Karamlou (Massachusetts Institute of Technology MI)
  • Sarah Muschinske (Massachusetts Institute of Technology MI)
  • Ilan T Rosen (Massachusetts Institute of Technology)
  • Jochen Braumuller (Massachusetts Institute of Technology)
  • Rabindra Das (Massachusetts Institute of Technology MIT)
  • David K Kim (MIT Lincoln Lab)
  • Bethany M Niedzielski (MIT Lincoln Laboratory)
  • Megan Schuldt (MIT Lincoln Laboratory)
  • Kyle Serniak (MIT Lincoln Laboratory & MIT RLE)
  • Mollie E Schwartz (MIT Lincoln Laboratory)
  • Jonilyn L Yoder (MIT Lincoln Lab)
  • Terry P Orlando (Massachusetts Institute of Technology MIT)
  • Simon Gustavsson (Massachusetts Institute of Technology MIT)
  • Jeffrey A Grover (Massachusetts Institute of Technology)
  • William D Oliver (Massachusetts Institute of Technology MI)