Quantum Industry Day 2022
who it's for
experimental physicists, quantum hardware engineers, quantum error correction researchers, quantum algorithm researchers, quantum complexity theorists, quantum software engineers, quantum device materials scientists
topics
biased-noise qubits; bias-preserving gates; erasure conversion schemes; Rydberg blockade processors; toric-code stabilizer measurement; random circuit sampling spoofing; Pauli path integral methods; cross-entropy benchmarking (XEB); quantum tensor network simulation; product-state multiplication via QFT; quantum LDPC codes; reconfigurable neutral-atom architectures
| title | author | length |
|---|---|---|
| Fault Tolerance with Biased Noise Qubits: Challenges and Opportunities | Steve Flammia | 27m |
Argues that modeling qubit noise as Pauli channels with Z-dominated bias (examples up to a bias of 100) lets tailored codes raise thresholds: phenomenological… | ||
| Analog and Digital Quantum Computing with Neutral Atoms | Alex Keesling | 28m |
Neutral-atom processors use Rydberg blockade with optically trapped atoms to implement both analog simulators and digital gates; experiments at Harvard and… | ||
| Complexity and Applications of Random Circuit Sampling | Yunchao Liu | 22m |
A polynomial-time classical algorithm is presented that, given M samples from a noisy random circuit sampling (RCS) experiment, produces M spoofed samples in… | ||
| The Problem with Qubits | John Martinis | 28m |
Argues superconducting qubits currently show 1–2% error rates so a 100‑qubit circuit has essentially depth‑one useful work, and claims classical quantum tensor… | ||
| How to “Multiply” Quantum States | Mark Zhandry | 26m |
Presents an explicit quantum procedure that produces a normalized pointwise product state from two constructible inputs by applying the quantum Fourier… | ||
| Panel Discussion | Dan Stamper-Kurn, Sergio Boixo, Steve Flammia, Alex Keesling, Jonathan King, Chetan Nayak, Chinmay Nirkhe, John Martinis | 54m |
Panelists debate why industry funds quantum work: a solid complexity-theory case plus steady experimental error-rate improvements and practical demos like the… | ||
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