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
Overview
Syllabus
Intro
Google Hardware Path
Quantum Supremacy John Preskill (2012)
Quantum Supremacy experiment: a benchma Benchmarking: Component error rates should be predictive of algorithm performance
Sycamore benchmarking results
Cross Entropy Benchmarking (XEB) circuit Sample the output of a pseudo-random quantum circuit
Component model
Model comparison to data
Scalable design: flip-chip bonding
Hardware: Packaging
Hardware: Electronics
72 qubits Our first large. 2D chip
Coupling between qubits
Sycamore: tunable coupling architecture
Sycamore: tunable coupling data
Tunable coupling tradeoffs Pros
Our quantum hardware principles
Calibration: learning to execute quantum logi Challenges
"Optimus": Al for calibrating quantum proces
Calibration graph: Sycamore Calibration sequence for 2 qubits
Calibrating Sycamore: Rabi
Calibrating Sycamore: Readout
Calibrating Sycamore: iSwap-like
Calibrating 20 gates in XEB: parallel vs isolate
Optimus: distill experimental knowledge into
Frequency placement problem & "Snake" optimizer
Frequency Optimization Visualized
Benchmarking Processor Configurations • Cross-entropy benchmarking XEB
Taught by
Simons Institute
