All Stories

  1. Learning Quantum States and Unitaries of Bounded Gate Complexity
  2. Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix
  3. Dynamical simulation via quantum machine learning with provable generalization
  4. From undecidability of non-triviality and finiteness to undecidability of learnability
  5. Out-of-distribution generalization for learning quantum dynamics
  6. On the Generators of Quantum Dynamical Semigroups with Invariant Subalgebras
  7. Generalization in quantum machine learning from few training data
  8. Quantum and classical dynamical semigroups of superchannels and semicausal channels
  9. Encoding-dependent generalization bounds for parametrized quantum circuits
  10. Binary classification with classical instances and quantum labels
  11. How can we find out whether we can subdivide an evolution into arbitrarily small parts?
  12. Pseudo-dimension of quantum circuits
  13. Quantum learning Boolean linear functions w.r.t. product distributions