Quantum neural networks

An Agentic Formalization for Certified Quantum Neural Network Design
A central model in quantum machine learning is the quantum neural network (QNN), whose design requires balancing expressivity and …
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An Agentic Formalization for Certified Quantum Neural Network Design
LCQNN: Linear Combination of Quantum Neural Networks
Quantum neural networks (QNNs) offer a promising paradigm for quantum-enhanced machine learning, but their practical application is …
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LCQNN: Linear Combination of Quantum Neural Networks
Optimizer-dependent generalization bound for quantum neural networks
Quantum neural networks (QNNs) play a pivotal role in addressing complex tasks within quantum machine learning, analogous to classical …
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Optimizer-dependent generalization bound for quantum neural networks
Quantum Recurrent Embedding Neural Network
Quantum neural networks have emerged as promising quantum machine learning models, leveraging the properties of quantum systems and …
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Quantum Recurrent Embedding Neural Network
Provable Advantage of Parameterized Quantum Circuit in Function Approximation
Parameterized quantum circuits (PQCs) have emerged as a promising approach for quantum neural networks. However, understanding their …
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Provable Advantage of Parameterized Quantum Circuit in Function Approximation
Predicting quantum learnability from landscape fluctuation
The conflict between trainability and expressibility is a key challenge in variational quantum computing and quantum machine learning. …
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Predicting quantum learnability from landscape fluctuation
Quantum self-attention neural networks for text classification
An emerging direction of quantum computing is to establish meaningful quantum applications in various fields of artificial …
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Quantum self-attention neural networks for text classification
Exponential Hardness of Optimization from the Locality in Quantum Neural Networks
Quantum neural networks (QNNs) have become a leading paradigm for establishing near-term quantum applications in recent years. The …
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Exponential Hardness of Optimization from the Locality in Quantum Neural Networks
Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks
Quantum neural networks (QNNs) have been a promising framework in pursuing near-term quantum advantage in various fields, where many …
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Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks
Power and limitations of single-qubit native quantum neural networks
Quantum neural networks (QNNs) have emerged as a leading strategy to establish applications in machine learning, chemistry, and …
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