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20242026
most citedQuantum-Classical Hybrid Algorithm for Solving the Learning-With-Errors Problem on NISQ Devices

4 citations · 4 across the 4 of their papers we have counts for

collaborators

6 papers

cond-mat.dis-nn2026

Microscopic Mechanism and Control of Reentrant Localization

Pei-Jie Chang, Quanfeng Lu, Wentao Yang +2

Increasing quasiperiodic modulation can restore extended states after localization, raising the question of how the same modulation drives both localization and recovery. We identi…

cond-mat.dis-nn2026

Orbital cancellation and reentrant localization in a quasiperiodic trimer ladder

Xin Wang, Pei-Jie Chang, Quanfeng Lu +3

Uniform orbital detuning can restore spatial extent even as quasiperiodic modulation strengthens. In a trimer ladder with fixed hoppings and orbital modulation signs, increasing de…

cond-mat.dis-nn2025

Dimer-driven multiple reentrant localization with composite potential

Pei-Jie Chang, Dong Ruan, Gui-Lu Long

Recent studies have revealed reentrant localization transitions in quasi-periodic one-dimensional lattices, where the competition between dimerized hopping and staggered disorder p…

cond-mat.dis-nn2024

Investigation of reentrant localization transition in one-dimensional quasi-periodic lattice with long-range hopping

Pei-Jie Chang, Qi-Bo Zeng, Jinghui Pi +2

Reentrant localization has recently been observed in systems with quasi-periodic nearest-neighbor hopping, where the interplay between dimerized hopping and staggered disorder is i…

quant-ph2024★ 4 cited

Quantum-Classical Hybrid Algorithm for Solving the Learning-With-Errors Problem on NISQ Devices

Muxi Zheng, Jinfeng Zeng, Wentao Yang +7

The Learning-With-Errors (LWE) problem is a fundamental computational challenge with implications for post-quantum cryptography and computational learning theory. Here we propose a…

cond-mat.str-el2024

Topological phases of extended Su-Schrieffer-Heeger-Hubbard model

Pei-Jie Chang, Jinghui Pi, Muxi Zheng +3

Despite extensive studies on the one-dimensional Su-Schrieffer-Heeger-Hubbard (SSHH) model, the variant incorporating next-nearest neighbour hopping remains largely unexplored. Her…