63 citations · 68 across the 2 of their papers we have counts for
5 papers · 1 filter
VSQL: Variational Shadow Quantum Learning for Classification
Guangxi Li, Zhixin Song, Xin Wang
Classification of quantum data is essential for quantum machine learning and near-term quantum technologies. In this paper, we propose a new hybrid quantum-classical framework for…
Noise-Assisted Quantum Autoencoder
Chenfeng Cao, Xin Wang
Quantum autoencoder is an efficient variational quantum algorithm for quantum data compression. However, previous quantum autoencoders fail to compress and recover high-rank mixed…
Cost of quantum entanglement simplified
Xin Wang, Mark M. Wilde
Quantum entanglement is a key physical resource in quantum information processing that allows for performing basic quantum tasks such as teleportation and quantum key distribution,…
Time-dependent Hamiltonian simulation with -norm scaling
Dominic W. Berry, Andrew M. Childs, Yuan Su +2
The difficulty of simulating quantum dynamics depends on the norm of the Hamiltonian. When the Hamiltonian varies with time, the simulation complexity should only depend on this qu…
Efficiently computable bounds for magic state distillation
Xin Wang, Mark M. Wilde, Yuan Su
Magic-state distillation (or non-stabilizer state manipulation) is a crucial component in the leading approaches to realizing scalable, fault-tolerant, and universal quantum comput…