Xiang Zhang

Metasurface-Enabled On-Chip Quantum Entanglement

2017 · Conference on Lasers and Electro-Optics

We report on on-chip quantum entanglement between two microscopically separated qubits by engineering their long-range interactions via a metasurface. The metasurface route to quantum state engineering opens a new paradigm for on-chip quantum technology.

Improved Apriori Algorithm for Mining Association Rules

2018 · DEStech Transactions on Computer Science and Engineering

Apriori algorithm as a classic algorithm in data mining, it has a good performance in a small number of transactions in the database which has been widely used by people, but the algorithm has two …

Fast QR code detection

2017

Quick Response (QR) code is introduced by the Denso Wave in 1994 [7]. It can encode alphanumeric characters, a rich set of information can be made available through encoded URL addresses [2]. Nowadays, with the …

Enhanced energy transfer in a Dicke quantum battery

2018 · arXiv (Cornell University)

We theoretically investigate the enhancement of the charging power in a Dicke quantum battery which consists of an array of $N$ two-level systems (TLS) coupled to a single mode of cavity photons. In the limit …

Quantum Lyapunov-based unified control method and verification of simulation experiments

2020

A Lyapunov-based unified control method for closed quantum systems is proposed, which can transfer the state of closed quantum system from any initial state to any desired target state. In particular, the proposed control method …

Character-level Convolutional Networks for Text Classification

2015 · arXiv (Cornell University)

This article offers an empirical exploration on the use of character-level convolutional networks (ConvNets) for text classification. We constructed several large-scale datasets to show that character-level convolutional networks could achieve state-of-the-art or competitive results. Comparisons …

A Novel Learnable Dictionary Encoding Layer for End-to-End Language Identification

2018

A novel learnable dictionary encoding layer is proposed in this paper for end-to-end language identification. It is inline with the conventional GMM i-vector approach both theoretically and practically. We imitate the mechanism of traditional GMM …