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Intro
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Google Hardware Path
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Quantum Supremacy John Preskill (2012)
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Quantum Supremacy experiment: a benchma Benchmarking: Component error rates should be predictive of algorithm performance
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Sycamore benchmarking results
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Cross Entropy Benchmarking (XEB) circuit Sample the output of a pseudo-random quantum circuit
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Component model
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Model comparison to data
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Scalable design: flip-chip bonding
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Hardware: Packaging
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Hardware: Electronics
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72 qubits Our first large. 2D chip
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Coupling between qubits
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Sycamore: tunable coupling architecture
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Sycamore: tunable coupling data
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Tunable coupling tradeoffs Pros
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Our quantum hardware principles
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Calibration: learning to execute quantum logi Challenges
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"Optimus": Al for calibrating quantum proces
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Calibration graph: Sycamore Calibration sequence for 2 qubits
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Calibrating Sycamore: Rabi
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Calibrating Sycamore: Readout
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Calibrating Sycamore: iSwap-like
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Calibrating 20 gates in XEB: parallel vs isolate
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Optimus: distill experimental knowledge into
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Frequency placement problem & "Snake" optimizer
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Frequency Optimization Visualized
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Benchmarking Processor Configurations • Cross-entropy benchmarking XEB
Description:
Explore a comprehensive lecture on quantum supremacy and superconducting processors delivered by Julian Kelly from Google at the Simons Institute. Delve into Google's hardware path, John Preskill's concept of quantum supremacy, and the benchmarking process for quantum devices. Examine the Sycamore architecture, including its tunable coupling design and calibration challenges. Learn about the cross-entropy benchmarking (XEB) technique, component error rates, and scalable design principles. Discover how artificial intelligence, specifically the "Optimus" system, is utilized for calibrating quantum processors. Gain insights into frequency optimization problems and various benchmarking methods for processor configurations in this in-depth exploration of cutting-edge quantum computing technology.

Quantum Supremacy Using a Programmable Superconducting Processor II

Simons Institute
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