Quantum machine learning

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 …
PDF Cite Code DOI
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 …
PDF Cite Code DOI
LCQNN: Linear Combination of Quantum Neural Networks
Thermal-Drift Sampling: Generating Thermal Ensembles for Learning Many-Body Systems
Thermal equilibrium states of many-body Hamiltonians are essential for probing quantum chaos, finite-temperature phases of matter, and …
PDF Cite DOI
Thermal-Drift Sampling: Generating Thermal Ensembles for Learning Many-Body Systems
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 …
PDF Cite DOI
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 …
PDF Cite DOI
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 …
PDF Cite
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. …
PDF Cite DOI
Predicting quantum learnability from landscape fluctuation
Quantum Sequential Scattering Model for Quantum State Learning
Learning probability distribution is an essential framework in classical learning theory. As a counterpart, quantum state learning has …
PDF Cite DOI
Quantum Sequential Scattering Model for Quantum State Learning
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 …
PDF Cite DOI
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 …
PDF Cite DOI
Exponential Hardness of Optimization from the Locality in Quantum Neural Networks