Thursday, March 7, 2024
11:30AM - 12:06PM
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T51.00001: On quantum backpropagation, information reuse, and cheating measurement collapse
Invited Speaker:
Amira M Abbas
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Thursday, March 7, 2024
12:06PM - 12:18PM
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T51.00002: Connecting channel expressiveness to gradient magnitudes and noise induced barren plateaus
Matthew Duschenes, Diego García-Martín, Martin Larocca, Zoe P Holmes, Marco Cerezo
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Thursday, March 7, 2024
12:18PM - 12:30PM
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T51.00003: Generalization Error in Quantum Machine Learning in the Presence of Sampling Noise
Fangjun Hu, Xun Gao, Hakan E Tureci
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Thursday, March 7, 2024
12:30PM - 12:42PM
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T51.00004: Demonstration of a Quantum Machine Learning Algorithm beyond the Coherence Time
Hakan E Tureci, Fangjun Hu, Saeed A Khan, Nicholas T Bronn, Guilhem J Ribeill, Gerasimos M Angelatos, Graham E Rowlands
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Thursday, March 7, 2024
12:42PM - 12:54PM
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T51.00005: Reduction of finite sampling noise in quantum neural networks
David Kreplin, Marco Roth
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Thursday, March 7, 2024
12:54PM - 1:06PM
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T51.00006: Full-stack Quantum Machine Learning in High Energy Physics
Matteo Robbiati
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Thursday, March 7, 2024
1:06PM - 1:18PM
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T51.00007: Quantum Inception Score as an Expressivity Measure of the Quantum Generative Models
Akira Sone, Naoki Yamamoto
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Thursday, March 7, 2024
1:18PM - 1:30PM
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T51.00008: Problem-informed Graphical Quantum Generative Learning
Bence Bakó, Zsófia Kallus, Zoltan Zimboras
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Thursday, March 7, 2024
1:30PM - 1:42PM
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T51.00009: Generative quantum machine learning via denoising diffusion probabilistic models
Bingzhi Zhang, Peng Xu, Xiaohui Chen, Quntao Zhuang
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Thursday, March 7, 2024
1:42PM - 1:54PM
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T51.00010: Reinforcement Learning-Assisted Shot Assignment for Improved Convergence in Variational Quantum Eigensolver
Linghua Zhu, Senwei Liang, Chao Yang, Xiaosong Li
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Thursday, March 7, 2024
1:54PM - 2:06PM
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T51.00011: Optimizing ZX-Diagrams with Deep Reinforcement Learning
Maximilian Nägele, Florian Marquardt
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