Flat-band (de)localization emulated with a superconducting qubit array

  1. Ilan T. Rosen,
  2. Sarah Muschinske,
  3. Cora N. Barrett,
  4. David A. Rower,
  5. Rabindra Das,
  6. David K. Kim,
  7. Bethany M. Niedzielski,
  8. Meghan Schuldt,
  9. Kyle Serniak,
  10. Mollie E. Schwartz,
  11. Jonilyn L. Yoder,
  12. Jeffrey A. Grover,
  13. and William D. Oliver
Arrays of coupled superconducting qubits are analog quantum simulators able to emulate a wide range of tight-binding models in parameter regimes that are difficult to access or adjust

Implementing a synthetic magnetic vector potential in a 2D superconducting qubit array

  1. Ilan T. Rosen,
  2. Sarah Muschinske,
  3. Cora N. Barrett,
  4. Arkya Chatterjee,
  5. Max Hays,
  6. Michael DeMarco,
  7. Amir Karamlou,
  8. David Rower,
  9. Rabindra Das,
  10. David K. Kim,
  11. Bethany M. Niedzielski,
  12. Meghan Schuldt,
  13. Kyle Serniak,
  14. Mollie E. Schwartz,
  15. Jonilyn L. Yoder,
  16. Jeffrey A. Grover,
  17. and William D. Oliver
Superconducting quantum processors are a compelling platform for analog quantum simulation due to the precision control, fast operation, and site-resolved readout inherent to the hardware.

Learning-based Calibration of Flux Crosstalk in Transmon Qubit Arrays

  1. Cora N. Barrett,
  2. Amir H. Karamlou,
  3. Sarah E. Muschinske,
  4. Ilan T. Rosen,
  5. Jochen Braumüller,
  6. Rabindra Das,
  7. David K. Kim,
  8. Bethany M. Niedzielski,
  9. Meghan Schuldt,
  10. Kyle Serniak,
  11. Mollie E. Schwartz,
  12. Jonilyn L. Yoder,
  13. Terry P. Orlando,
  14. Simon Gustavsson,
  15. Jeffrey A. Grover,
  16. and William D. Oliver
Superconducting quantum processors comprising flux-tunable data and coupler qubits are a promising platform for quantum computation. However, magnetic flux crosstalk between the flux-control