Evidence map›Paper›PMID 38782911›Full record

ArticleNature communications2024

Self acceleration from spectral geometry in dissipative quantum-walk dynamics.

Peng Xue, Quan Lin, Kunkun Wang, Lei Xiao, Stefano Longhi, Wei Yi

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Peng XueSchool of Physics, Southeast University, Nanjing, 211189, China. gnep.eux@gmail.com.ORCID http://orcid.org/0000-0002-4272-2883
Quan LinSchool of Physics, Southeast University, Nanjing, 211189, China.
Kunkun WangSchool of Physics and Optoelectronic Engineering, Anhui University, Hefei, 230601, China.
Lei XiaoSchool of Physics, Southeast University, Nanjing, 211189, China.
Stefano LonghiDipartimento di Fisica, Politecnico di Milano, Piazza L. da Vinci 32, Milano, I-20133, Italy. stefano.longhi@polimi.it.ORCID http://orcid.org/0000-0002-8739-3542
Wei YiCAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, 230026, China. wyiz@ustc.edu.cn.ORCID http://orcid.org/0000-0002-8880-6038

Funding

National Science Foundation of China | National Natural Science Foundation of China-Yunnan Joint Fund (NSFC-Yunnan Joint Fund) 92265209
6 · The paper itself

Abstract

The dynamic behavior of a physical system often originates from its spectral properties. In open systems, where the effective non-Hermitian description enables a wealth of spectral structures in the complex plane, the concomitant dynamics are significantly enriched, whereas the identification and comprehension of the underlying connections are challenging. Here we experimentally demonstrate the correspondence between the transient self-acceleration of local excitations and the non-Hermitian spectral topology using lossy photonic quantum walks. Focusing first on one-dimensional quantum walks, we show that the measured short-time acceleration of the wave function is proportional to the area enclosed by the eigenspectrum. We then reveal a similar correspondence in two-dimension quantum walks, where the self-acceleration is proportional to the volume enclosed by the eigenspectrum in the complex parameter space. In both dimensions, the transient self-acceleration crosses over to a long-time behavior dominated by a constant flow at the drift velocity. Our results unveil the universal correspondence between spectral topology and transient dynamics, and offer a sensitive probe for phenomena in non-Hermitian systems that originate from spectral geometry.

Identifiers

PMID38782911
PMCPMC11116542

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.