Quantum machine learning

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
Mitigating Barren Plateaus of Variational Quantum Eigensolvers
Variational quantum algorithms (VQAs) are expected to establish valuable applications on near-term quantum computers. However, recent …
PDF Cite DOI
Mitigating Barren Plateaus of Variational Quantum Eigensolvers
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
Provable Advantage of Parameterized Quantum Circuit in Function Approximation
Understanding the power of parameterized quantum circuits (PQCs) in accomplishing machine learning tasks is one of the most important …
PDF Cite DOI
Provable Advantage of Parameterized Quantum Circuit in Function Approximation
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 …
PDF Cite DOI
Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks