Quantum Techniques in Machine Learning (QTML conference 2023)

Session

Trainability of Quantum Architectures

13

21 Nov 2023, 14:45

500/1-001 - Main Auditorium (CERN)

Conveners

Trainability of Quantum Architectures

• Martina Larocca (Los Alamos National Laboratory)

40. Trainability barriers and opportunities in quantum generative modeling

Manuel Rudolph (EPFL)

21/11/2023, 14:45

42. On the Sample Complexity of Quantum Boltzmann Machine Learning

Luuk Coopmans (Quantinuum)

21/11/2023, 15:15

41. On the Absence of Barren Plateaus in Quantum Generative Adversarial Networks

Dr Christa Zoufal (IBM Quantum Europe)

21/11/2023, 15:45

43. Deep quantum neural networks form Gaussian processes

Diego Garcia-Martin (Los Alamos National Laboratory)

21/11/2023, 16:15

21. Here comes the SU(N) multivariate quantum gates and gradients

Roeland WIERSEMA (University of Waterloo & Vector Institute)

21/11/2023, 16:45