Quantum Supremacy Using a Programmable Superconducting Processor II

Quantum Supremacy Using a Programmable Superconducting Processor II

Simons Institute via YouTube Direct link

Intro

1 of 28

1 of 28

Intro

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Quantum Supremacy Using a Programmable Superconducting Processor II

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  1. 1 Intro
  2. 2 Google Hardware Path
  3. 3 Quantum Supremacy John Preskill (2012)
  4. 4 Quantum Supremacy experiment: a benchma Benchmarking: Component error rates should be predictive of algorithm performance
  5. 5 Sycamore benchmarking results
  6. 6 Cross Entropy Benchmarking (XEB) circuit Sample the output of a pseudo-random quantum circuit
  7. 7 Component model
  8. 8 Model comparison to data
  9. 9 Scalable design: flip-chip bonding
  10. 10 Hardware: Packaging
  11. 11 Hardware: Electronics
  12. 12 72 qubits Our first large. 2D chip
  13. 13 Coupling between qubits
  14. 14 Sycamore: tunable coupling architecture
  15. 15 Sycamore: tunable coupling data
  16. 16 Tunable coupling tradeoffs Pros
  17. 17 Our quantum hardware principles
  18. 18 Calibration: learning to execute quantum logi Challenges
  19. 19 "Optimus": Al for calibrating quantum proces
  20. 20 Calibration graph: Sycamore Calibration sequence for 2 qubits
  21. 21 Calibrating Sycamore: Rabi
  22. 22 Calibrating Sycamore: Readout
  23. 23 Calibrating Sycamore: iSwap-like
  24. 24 Calibrating 20 gates in XEB: parallel vs isolate
  25. 25 Optimus: distill experimental knowledge into
  26. 26 Frequency placement problem & "Snake" optimizer
  27. 27 Frequency Optimization Visualized
  28. 28 Benchmarking Processor Configurations • Cross-entropy benchmarking XEB

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