Quantum Techniques in Machine Learning (QTML conference 2023)

Session

Architectures for QML 1

10

21 Nov 2023, 09:00

500/1-001 - Main Auditorium (CERN)

Conveners

Architectures for QML 1

• Oriel Orphee Moira Kiss (Universite de Geneve (CH))

26. Time-series quantum reservoir computing with weak and projective measurements

Pere Mujal (ICFO)

21/11/2023, 09:00

32. Let Quantum Neural Networks Choose Their Own Frequencies

Ben Jadeberg (PASQAL)

21/11/2023, 09:15

62. Extending Graph Transformers with Quantum Computed Aggregation

Slimane Thabet (PASQAL - Sorbonne University)

21/11/2023, 09:30

30. Hierarchical quantum circuit representations for neural architecture search

Matt Lourens (Stellenbosch University)

21/11/2023, 09:45

82. QResNet: a variational entanglement skipping algorithm

Giulio Crognaletti (University of Trieste)

21/11/2023, 10:00

44. A General Approach for Dropout in Quantum Neural Networks

Francesco Scala (Università degli Studi di Pavia)

21/11/2023, 10:15

77. Applying Genetic Algorithms to Optimize the Generalization Ability of Variational Quantum Circuits

Darya Martyniuk (Freie Universitaet Berlin, Fraunhofer Gesellschaft)

21/11/2023, 10:30