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2022 ◽  
Vol 105 (4) ◽  
Author(s):  
Junyi Ji ◽  
Feng Lou ◽  
Rui Yu ◽  
J. S. Feng ◽  
H. J. Xiang

Author(s):  
Zihao Zhu ◽  
Cheng Tan ◽  
Jian Zhang ◽  
Pabitra Kumar Biswas ◽  
A D Hillier ◽  
...  

Abstract Topological superconductivity is an exotic phenomenon due to the symmetry-protected topological surface state, in which a quantum system has an energy gap in the bulk but supports gapless excitations conned to its boundary. Symmetries including central and time-reversal, along with their relations with topology, are crucial for topological superconductivity. We report muon spin relaxation/rotation (μSR) experiments on a topological noncentrosymmetric superconductor PbTaSe2 to study its TRS and gap symmetry. Zero-field μSR experiments indicate the absence of internal magnetic eld in the superconducting state, consistent with previous μSR results. Furthermore, transverse-field μSR measurements reveals that the superconducting gap of PbTaSe2 is an isotropic three-dimensional fully-gapped single-band. The fully-gapped results can help understand the pairing mechanism and further classify the topological superconductivity in this system.


2022 ◽  
Author(s):  
Wu Yusen ◽  
Bujiao Wu ◽  
Jingbo Wang ◽  
Xiao Yuan

Abstract The use of quantum computation to speed-up machine learning algorithms is among the most exciting prospective applications in the NISQ era. Here, we focus on the quantum phase learning problem, which is crucially important in understanding many-particle quantum systems. We prove that, under widely believed complexity theory assumptions, quantum phase learning problem cannot be efficiently solved by machine learning algorithms using classical resources and classical data. Whereas using quantum data, we prove the universality of quantum kernel Alphatron in efficiently predicting quantum phases, indicating clear quantum advantages in such learning problems. We numerically benchmark the algorithm for a variety of problems, including recognizing symmetry-protected topological phases and symmetry-broken phases. Our results highlight the capability of quantum machine learning in efficient prediction of quantum phases of many-particle systems.


2022 ◽  
Vol 105 (2) ◽  
Author(s):  
Jian-Song Hong ◽  
Ting-Fung Jeffrey Poon ◽  
Long Zhang ◽  
Xiong-Jun Liu

Author(s):  
C. Cedzich ◽  
T. Geib ◽  
F. A. Grünbaum ◽  
L. Velázquez ◽  
A. H. Werner ◽  
...  

AbstractThis paper uncovers and exploits a link between a central object in harmonic analysis, the so-called Schur functions, and the very hot topic of symmetry protected topological phases of quantum matter. This connection is found in the setting of quantum walks, i.e. quantum analogs of classical random walks. We prove that topological indices classifying symmetry protected topological phases of quantum walks are encoded by matrix Schur functions built out of the walk. This main result of the paper reduces the calculation of these topological indices to a linear algebra problem: calculating symmetry indices of finite-dimensional unitaries obtained by evaluating such matrix Schur functions at the symmetry protected points $$\pm 1$$ ± 1 . The Schur representation fully covers the complete set of symmetry indices for 1D quantum walks with a group of symmetries realizing any of the symmetry types of the tenfold way. The main advantage of the Schur approach is its validity in the absence of translation invariance, which allows us to go beyond standard Fourier methods, leading to the complete classification of non-translation invariant phases for typical examples.


Quantum ◽  
2021 ◽  
Vol 5 ◽  
pp. 612
Author(s):  
Tyler D. Ellison ◽  
Kohtaro Kato ◽  
Zi-Wen Liu ◽  
Timothy H. Hsieh

We introduce the concepts of a symmetry-protected sign problem and symmetry-protected magic to study the complexity of symmetry-protected topological (SPT) phases of matter. In particular, we say a state has a symmetry-protected sign problem or symmetry-protected magic, if finite-depth quantum circuits composed of symmetric gates are unable to transform the state into a non-negative real wave function or stabilizer state, respectively. We prove that states belonging to certain SPT phases have these properties, as a result of their anomalous symmetry action at a boundary. For example, we find that one-dimensional Z2×Z2 SPT states (e.g. cluster state) have a symmetry-protected sign problem, and two-dimensional Z2 SPT states (e.g. Levin-Gu state) have symmetry-protected magic. Furthermore, we comment on the relation between a symmetry-protected sign problem and the computational wire property of one-dimensional SPT states. In an appendix, we also introduce explicit decorated domain wall models of SPT phases, which may be of independent interest.


2021 ◽  
Vol 127 (26) ◽  
Author(s):  
Kai Li ◽  
Jiong-Hao Wang ◽  
Yan-Bin Yang ◽  
Yong Xu

2021 ◽  
Vol 130 (23) ◽  
pp. 233102
Author(s):  
Lei Wang ◽  
Zhenyu Zhao ◽  
Mingjie Du ◽  
Hua Qin ◽  
Rajour Tanyi Ako ◽  
...  

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