activity
20222026
most citedQuantum Force Sensing by Digital Twinning of Atomic Bose-Einstein Condensates

5 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2026

Fast Trainable Multilinear Bases for Image Compression

Shiwen An, Zhongyi Ni, Huanhai Zhou +1

The Discrete Fourier Transform (DFT), the Discrete Cosine Transform (DCT), and their block-wise variants underpin most deployed image and video codecs. Their effectiveness rests on…

quant-ph2026

Decoupling 2D translation-invariant topological CSS codes

Yifei Wang, Zhongyi Ni, Mingxin He +2

Two-dimensional translation-invariant topological CSS codes on qubits are known to be locally equivalent, after coarse-graining, to stacks of toric codes. However, existing constru…

quant-ph2026

AI-Enabled Decoding of Qubit Loss for Quantum Error-Correcting Codes

Yuqing Wang, Xiaotian Nie, Jiale Dai +4

Qubit loss is a major source of error in quantum computation, as it invalidates the algebraic structure of the standard stabilizer formalism for quantum error-correcting codes. On…

quant-ph2023★ 5 cited

Quantum Force Sensing by Digital Twinning of Atomic Bose-Einstein Condensates

Tangyou Huang, Zhongcheng Yu, Zhongyi Ni +2

High sensitivity detection plays a vital role in science discoveries and technological applications. While intriguing methods utilizing collective many-body correlations and quantu…

eess.SP2022

Sampling of Correlated Bandlimited Continuous Signals by Joint Time-vertex Graph Fourier Transform

Zhongyi Ni, Feng Ji, Hang Sheng +2

When sampling multiple signals, the correlation between the signals can be exploited to reduce the overall number of samples. In this paper, we study the sampling theory of multipl…