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