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Article
Theory of overparametrization in quantum neural networks
The prospect of achieving quantum advantage with quantum neural networks (QNNs) is exciting. Understanding how QNN properties (for example, the number of parameters M) affect the loss landscape is crucial to desi...
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Article
Challenges and opportunities in quantum machine learning
At the intersection of machine learning and quantum computing, quantum machine learning has the potential of accelerating data analysis, especially for quantum data, with applications for quantum materials, bi...
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Article
Seeking quantum advantage for neural networks
A study based on effective dimension shows that a quantum neural network can have increased capability and trainability as compared to its classical counterpart.