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QTML 2023: 7TH INTERNATIONAL CONFERENCE ON QUANTUM TECHINQUES IN MACHINE LEARNING
PROGRAM FOR THURSDAY, NOVEMBER 23RD
Days: previous day next day all days View: session overviewtalk overview 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 |
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 |
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 |
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