1

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
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
Upper Bounds on the Distillable Randomness of Bipartite Quantum States
The distillable randomness of a bipartite quantum state is an information-theoretic quantity equal to the largest net rate at which …
PDF Cite
Concentration of Data Encoding in Parameterized Quantum Circuits
Variational quantum algorithms have been acknowledged as the leading strategy to realize near-term quantum advantages in meaningful …
PDF Cite
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 …
PDF Cite
Upper bound on the classical capacity of a quantum channel assisted by classical feedback
Cite DOI
Quantification of Unextendible Entanglement and Its Applications in Entanglement Distillation
PDF Cite DOI
QSI: A Quantum Programming Environment
This paper describes a quantum programming environment, named $Q|SIångle$. It is a platform embedded in the .Net language that supports …
PDF Cite DOI
Converse Bounds for Classical Communication Over Quantum Broadcast Channels and Quantum Multi-Access Channels
We explore several new converse bounds for classical communication over quantum channels in both the one-shot and asymptotic regime. …
PDF Cite DOI
Semidefinite programming converse bounds for classical communication over quantum channels
PDF Cite DOI