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Qadence: a differentiable interface for digital-analog programs

Talkat PLanQC 2024 · on Saturday, 2024-01-20· [quantum-computing, machine-learning]
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Qadence is a high‑level, differentiable interface that composes Hamiltonian block analog evolutions with single‑qubit digital gates and compiles them to backends (simulator or QPU). It embeds circuits as PyTorch models so variational parameters use the automatic‑diff engine and a generalized parameter‑shift rule for digital‑analog operators. The system targets Rydberg neutral‑atom hardware with reconfigurable registers, aims for near‑term executability on devices scaling toward 10,000 atoms, and is already used internally at Pasqal.

AI-written summary · about

  1. 0:00Qadence intro and paradigm
  2. 2:10Digital vs analog Quantum Computing
  3. 3:55Qadence’s hardware-agnostic framework
  4. 8:14Qadence core architecture
  5. 10:28Building Quantum circuits with blocks
  6. 13:15Hamiltonian programming in Qadence
  7. 15:25Differentiable parameterized circuits
  8. 17:38Summary and future plans
  9. 19:06Q&A: measurement-based Quantum Computing
  10. 19:48Q&A: abstraction level for devs
  11. 21:33Q&A: hardware specificity
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