QTML 2023: 7TH INTERNATIONAL CONFERENCE ON QUANTUM TECHINQUES IN MACHINE LEARNING
PROGRAM FOR THURSDAY, NOVEMBER 23RD
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09:00-10:45 Session 21: Quantum Algorithms
09:00
Quadratic Speedup in Quantum Zero-Sum Games via Single-Call Mirror-Prox Matrix Methods
09:30
Constant-depth circuits for Uniformly Controlled Gates and Boolean functions with application to quantum memory circuits
10:00
Quantum Distance Calculation for ε-Graph Construction
10:15
Gibbs Sampling of Periodic Potentials on a Quantum Computer
10:45-11:15Coffee Break
12:00-13:15 Session 23: Quantum Kernels
12:00
A Topological Features Based Quantum Kernel
12:15
Expressivity and Generalization Ability of Trace-induced Quantum Kernels
12:45
A Multi-Class Quantum Kernel-Based Classifier
13:00
Neural Quantum Embedding: Pushing the Limits of Quantum Supervised Learning
13:15-14:45Lunch Break
15:30-17:00 Session 25: QML for Physics
15:30
Quantum anomaly detection in the latent space of proton collision events at the LHC
15:45
Quantum data learning for quantum simulations in high-energy physics
16:00
Ab initio Quantum Simulation of Strongly Correlated Materials with Quantum Embedding
16:15
Detection of quantum phase transitions with quantum machine learning techniques
16:30
Simulating dynamics of large quantum systems on small quantum devices using circuit knitting
16:45
Complete quantum-inspired framework for simulations of flows past immersed bodies