QTML 2023: 7TH INTERNATIONAL CONFERENCE ON QUANTUM TECHINQUES IN MACHINE LEARNING
PROGRAM FOR WEDNESDAY, NOVEMBER 22ND
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09:00-10:45 Session 15: Quantum Learning and Shadows
09:00
Shadows of quantum machine learning
09:30
Post-Variational Quantum Neural Networks
09:45
Neural–Shadow Quantum State Tomography
10:15
Efficient information recovery from Pauli noise via classical shadow
10:30
Learning t-doped stabilizer states
10:45-11:15Coffee Break
12:00-13:15 Session 17: Machine learning for quantum science
12:00
Machine learning continuously monitored systems: estimating parameters
12:15
Deep Learning of Quantum Correlations for Quantum Parameter Estimation of Continuously Monitored Systems
12:30
Channel tomography for quantum noise characterization and mitigation
12:45
Explainable Representation Learning of Small Quantum States
13:15-14:45Lunch Break
15:45-16:30 Session 19: Architectures for QML 3
15:45
Variational Quantum Time Evolution without the Quantum Geometric Tensor
16:00
Quantum Similarity Testing with Convolutional Neural Networks
16:15
Dimension reduction in quantum stochastic modelling
16:30
Quantum Fourier Networks for Solving Parametric PDEs
16:30-17:00Coffee Break