Hao-Kai Zhang — accepted AI-conference papers

2024

Exponential Hardness of Optimization from the Locality in Quantum Neural Networks

Hao-Kai Zhang, Chengkai Zhu, Geng Liu, Xin Wang

AAAI 2024technical

Quantum neural networks (QNNs) have become a leading paradigm for establishing near-term quantum applications in recent years. The trainability issue of QNNs has garnered extensive attention, spurring demand for a comprehensive analysis of QNNs in order to identify viable solutions. In this work, we…

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2023

Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks

Hao-Kai Zhang, Chenghong Zhu, Mingrui Jing, Xin Wang

NeurIPS 2023poster

Quantum neural networks (QNNs) have been a promising framework in pursuing near-term quantum advantage in various fields, where many applications can be viewed as learning a quantum state that encodes useful data. As a quantum analog of probability distribution learning, quantum state learning is th…

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