~/talk

Quantum Computing: a Treasure Hunt, not a Gold Rush

Talkat MLconf SF 2019 · on Friday, 2019-11-08· [quantum-computing, machine-learning]
links:none on file
slides:none on file

Quantum computers currently show narrow, special-case advantages: Google claims 53 qubits (54 fabricated, 1 failed) for a sampling task, but that task is an assembly-like random-circuit benchmark rather than an application. Classical work reproduces similar circuits using novel simulators that need only simulate only ten amplitudes instead of the full 2^n state and can run a 45-qubit benchmark that once used 0.5 PB of RAM on a supercomputer instead in 17.5 GB on a single server, and noisy gates (e.g., 500 gates at 0.5% error) make end-to-end advantage fragile.

AI-written summary · about

  1. 0:00Overview of quantum computing
  2. 2:24Managing expectations
  3. 4:11Hardware and error challenges
  4. 7:32The quest for quantum supremacy
  5. 11:24Technical benchmarks
  6. 16:41Simulation and performance
  7. 21:32Future directions
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