23 тысяч подписчиков
82 видео
Our Quantum processor at the Deutsches Museum
Step inside the Google Quantum AI lab
XPRIZE Quantum Applications | Google Quantum AI
Decoding experimental surface code data
Progress in superconducting quantum computing at Google
Quantum computation of molecular structure using challenging-to-classically-simulate NMR data
Noisy simulation and the QVM
Quantum computing developer ecosystem updates
Google Quantum AI update
Mitigating leakage-induced correlated errors for superconducting quantum error correction
How to build a quantum circuit with Cirq 1.0
The Quantum Approximate Optimization Algorithm
Noiseless simulation
Google Quantum AI Update 2022
Meet a Quantum Mechanic - Ep. 2 - Marissa Giustina
Evening ceremony of our quantum processor at the Deutsches Museum
Estimating overheads for quantum fault-tolerance in the honeycomb code
Research & learn with Google Quantum AI software tools
Pulse sequence design for crosstalk mitigation
Quantum Careers Panel
The Qubit Game: Click into Quantum
3D interactive visualizations using Cirq
Resolving catastrophic error bursts in large arrays of superconducting qubits
The Quantum Frontier
Google's perspective on the viable applications of early fault-tolerant Quantum computers - QSS 2021
Calibrating large quantum processors
Practical quantum simulation with Floquet calibration
How to create custom gates in Cirq
Quantum advantage in learning from experiments
Closing Keynote: Quantum computing opportunity for Australia and beyond
Correlation Matrix tool for error diagnostics & weights in surface codes
Noise-resilient Majorana edge modes on a chain of superconducting qubits
Improving system performance for quantum error correction
A short history of the honeycomb code
Quantum walks on hierarchical graphs
Quantum algorithms from fluctuation theorems
Keynote: Superconducting qubits for quantum computation: transmon vs fluxonium
Comprehensive simulations of error correction experiments
Demonstrating Quantum Error Correction
Take a tour of Google's Quantum AI Lab
A cryptographic leash: efficient quantum advantage and certifiable randomness
Keynote: Introduction to surface codes
Quantum learning for quantum chaos
Probing fundamental physics using quantum computers
Formation of robust bound states of interacting photons
Improvements in yield and performance of quantum processors and readout systems
Evidencing quantum effects in machine learning
Suppressing quantum errors by scaling a surface code logical qubit
Hunting for real-world applications of quantum algorithms for chemistry
Modeling for QEC experiments
