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arXiv 2024年

作者： McKay, S. de Haan, V.O. Leiner, J. Parnell, S.R. Dalgliesh, R.M. Boeni, P. Bannenberg, L.J. Le Thien, Q. Baxter, D.V. Ortiz, G. Pynn, R. Department of Physics Indiana University BloomingtonIN47405 United States Center for Exploration of Energy and Matter Indiana University Bloomington47408 United States BonPhysics Research and Investigations BV Laan van Heemstede 38 Puttershoek 3297AJ Netherlands Neutron Sciences Directorate Oak Ridge National Laboratory Oak RidgeTN37830 United States Faculty of Applied Sciences Delft University of Technology Mekelweg 15 Delft2629 JB Netherlands ISIS Rutherford Appleton Laboratory Oxfordshire ChiltonOX11 0QX United Kingdom Physics Department E21 Technical University of Munich GarchingD-85748 Germany SwissNeutronics AG Brühlstrasse 28 KlingnauCH-5313 Switzerland Quantum Science and Engineering Center Indiana University BloomingtonIN47408 United States Institute for Advanced Study PrincetonNJ08540 United States Institute for Quantum Computing University of Waterloo WaterlooONN2L 3G1 Canada

The Goos-Hänchen (GH) shift describes a phenomenon in which a specularly-reflected beam is laterally translated along the reflecting surface such that the incident and reflected rays no longer intersect at the surface. Using a neutron spin-echo technique and a specially-designed magnetic multilayer mirror, we have measured the relative phase between the reflected up and down neutron spin states in total reflection. The relative GH shift calculated from this phase shows a strong resonant enhancement at a particular incident neutron wavevector, which is due to a waveguiding effect in one of the magnetic layers. Calculations based on the observed phase difference between the neutron states indicate a propagation distance along the waveguide layer of 0.65 mm for the spin-down state, which we identify with the magnitude of the giant GH shift. The existence of a physical GH shift is confirmed by the observation of neutron absorption in the waveguide layer. We propose ways in which our experimental method may be exploited for neutron quantum-enhanced sensing of thin magnetic layers. Copyright © 2024, The Authors. All rights reserved.

关键词： Neutrons

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Cavity-mediated dissipative spin-spin coupling

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Physical Review B 2019年第1期100卷 014415-014415页

作者： Vahram L. Grigoryan Ke Xia Institute for Quantum Science and Engineering Southern University of Science and Technology Shenzhen 518055 China and Center for Quantum Computing Peng Cheng Laboratory Shenzhen 518005 China

We study dissipative spin-spin coupling in a dispersive regime mediated by virtual photons in a microwave cavity. Dissipative coupling between spin of each magnetic material and the cavity photons is established by means of two phase-shifted driving forces acting on each spin. We show that mode-level attraction between two spin modes can be reached when one of the spins is dissipatively coupled to the cavity. By tuning the phase parameter at each ferromagnetic insulator, we can shift the order of “dark” and “bright” collective modes with the phase difference equal to 0 or π. Moreover, by selectively applying the phase-shifted field, it is possible to construct dark and bright collective modes with the phase difference equal to ±π/2.

关键词： Ferrimagnetism Magnons Coupled oscillators Ferromagnets Landau-Lifschitz-Gilbert equation

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Dynamical-invariant-based holonomic quantum gates: Theory and experiment

arXiv

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arXiv 2020年

作者： Li, Yingcheng Xin, Tao Qiu, Chudan Li, Keren Liu, Gangqin Li, Jun Wan, Yidun Lu, Dawei State Key Laboratory of Surface Physics Department of Physics Center for Field Theory and Particle Physics Institute for Nanoelectronic devices and Quantum computing Fudan University Shanghai200433 China Shenzhen Institute for Quantum Science and Engineering Department of Physics Southern University of Science and Technology Shenzhen518055 China Guangdong Provincial Key Laboratory of Quantum Science and Engineering ShenzhenGuangdong518055 China Center for Quantum Computing Peng Cheng Laboratory Shenzhen518055 China Institute of Physics Chinese Academy of Sciences Beijing100190 China

Among existing approaches to holonomic quantum computing, the adiabatic holonomic quantum gates (HQGs) suffer errors due to decoherence, while the non-adiabatic HQGs either require additional Hilbert spaces or are difficult to scale. Here, we report a systematic, scalable approach based on dynamical invariants to realize HQGs without using additional Hilbert spaces. While presenting the theoretical framework of our approach, we design and experimentally evaluate single-qubit and two-qubits HQGs for the nuclear magnetic resonance system. The single-qubit gates acquire average fidelity 0.9972 by randomized benchmarking, and the controlled-NOT gate acquires fidelity 0.9782 by quantum process tomography. Our approach is also platform-independent, and thus may open a way to large-scale holonomic quantum computation. Copyright © 2020, The Authors. All rights reserved.

关键词： Vector spaces

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k-core structure of real multiplex networks

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Physical Review Research 2020年第2期2卷 023176-023176页

作者： Saeed Osat Filippo Radicchi Fragkiskos Papadopoulos Deep Quantum Labs Skolkovo Institute of Science and Technology Moscow 143026 Russia Center for Complex Networks and Systems Research Luddy School of Informatics Computing and Engineering Indiana University Bloomington Indiana 47408 USA Department of Electrical Engineering Computer Engineering and Informatics Cyprus University of Technology 33 Saripolou Street 3036 Limassol Cyprus

Multiplex networks are convenient mathematical representations for many real-world—biological, social, and technological—systems of interacting elements, where pairwise interactions among elements have different flavors. Previous studies pointed out that real-world multiplex networks display significant interlayer correlations—degree-degree correlation, edge overlap, node similarities—able to make them robust against random and targeted failures of their individual components. Here, we show that interlayer correlations are important also in the characterization of their k-core structure, namely, the organization in shells of nodes with an increasingly high degree. Understanding of k-core structures is important in the study of spreading processes taking place on networks, as for example in the identification of influential spreaders and the emergence of localization phenomena. We find that, if the degree distribution of the network is heterogeneous, then a strong k-core structure is well predicted by significantly positive degree-degree correlations. However, if the network degree distribution is homogeneous, then strong k-core structure is due to positive correlations at the level of node similarities. We reach our conclusions by analyzing different real-world multiplex networks, introducing novel techniques for controlling interlayer correlations of networks without changing their structure, and taking advantage of synthetic network models with tunable levels of interlayer correlations.

关键词： Clustering Degree distributions Network phase transitions Network resilience Network structure Robustness

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eHIJING: an Event Generator for Jet Tomography in Electron-Ion Collisions

arXiv

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arXiv 2023年

作者： Ke, Weiyao Zhang, Yuan-Yuan Xing, Hongxi Wang, Xin-Nian Central China Normal University Hubei Wuhan430079 China Theoretical Division Los Alamos National Laboratory Los AlamosNM87545 United States Nuclear Science Division MS 70R0309 Lawrence-Berkeley National Laboratory 1 Cyclotron Rd BerkeleyCA94720 United States Physics Department University of California BerkeleyCA94720 United States School of Science and Engineering The Chinese University of Hong Kong Shenzhen518172 China University of Science and Technology of China Hefei230026 China Guangdong Provincial Key Laboratory of Nuclear Science Institute of Quantum Matter South China Normal University Guangzhou510006 China Guangdong-Hong Kong Joint Laboratory of Quantum Matter Southern Nuclear Science Computing Center South China Normal University Guangzhou510006 China

We develop the first event generator, the electron-Heavy-Ion-Jet-INteraction-Generator (eHIJING), for the jet tomography study of electron-ion collisions. In this generator, energetic jet partons produced from the initial hard scattering undergo multiple collisions with the nuclear target. The collision rate is proportional to the transverse-momentum-dependent (TMD) gluon density in the nucleus, which is given by a simple model inspired by the physics of gluon saturation. Medium-modified QCD splitting functions within the higher-twist (HT) and generalized higher-twist (GHT) frameworks are utilized to simulate parton showering in the nuclear medium that takes into account the non-Abelian Landau-Pomeranchuck-Midgal interference effect. Employing eHIJING, we revisit hadron production in semi-inclusive deep inelastic scattering (SIDIS) as measured by EMC, HERMES, and recent CLAS experiments. eHIJING with both GT and GHT frameworks gives reasonably good descriptions of these experimental data. Predictions for experiments at the future electron-ion colliders are also provided. It is demonstrated that future measurements of the transverse momentum broadening of single hadron spectra can be used to map out the two-dimensional kinematic (Q2, xB) dependence of the jet transport coefficient qˆ in cold nuclear matter. Copyright © 2023, The Authors. All rights reserved.

关键词： Heavy ions

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Role of Left-Hand Cut Contributions on Pole Extractions from Lattice Data: Case Study for Tcc(3875)+

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Physical Review Letters 2023年第13期131卷 131903-131903页

作者： Meng-Lin Du Arseniy Filin Vadim Baru Xiang-Kun Dong Evgeny Epelbaum Feng-Kun Guo Christoph Hanhart Alexey Nefediev Juan Nieves Qian Wang School of Physics University of Electronic Science and Technology of China Chengdu 611731 China Institut für Theoretische Physik II Ruhr-Universität Bochum D-44780 Bochum Germany CAS Key Laboratory of Theoretical Physics Institute of Theoretical Physics Chinese Academy of Sciences Beijing 100190 China School of Physical Sciences University of Chinese Academy of Sciences Beijing 100049 China Peng Huanwu Collaborative Center for Research and Education Beihang University Beijing 100191 China Institute for Advanced Simulation Institut für Kernphysik and Jülich Center for Hadron Physics Forschungszentrum Jülich D-52425 Jülich Germany Jozef Stefan Institute Jamova 39 1000 Ljubljana Slovenia CeFEMA Center of Physics and Engineering of Advanced Materials Instituto Superior Técnico Avenida Rovisco Pais 1 1049-001 Lisboa Portugal Instituto de Física Corpuscular (centro mixto CSIC-UV) Institutos de Investigación de Paterna Apartado 22085 46071 Valencia Spain Guangdong Provincial Key Laboratory of Nuclear Science Institute of Quantum Matter South China Normal University Guangzhou 510006 China Institute of High Energy Physics Chinese Academy of Sciences Beijing 100049 China Guangdong-Hong Kong Joint Laboratory of Quantum Matter Southern Nuclear Science Computing Center South China Normal University Guangzhou 510006 China

We discuss recent lattice data for the Tcc(3875)+ state to stress, for the first time, a potentially strong impact of left-hand cuts from the one-pion exchange on the pole extraction for near-threshold exotic states. In particular, if the left-hand cut is located close to the two-particle threshold, which happens naturally in the DD* system for the pion mass exceeding its physical value, the effective-range expansion is valid only in a very limited energy range up to the cut and as such is of little use to reliably extract the poles. Then, an accurate extraction of the pole locations requires the one-pion exchange to be implemented explicitly into the scattering amplitudes. Our findings are general and potentially relevant for a wide class of hadronic near-threshold states.

关键词： Hadron-hadron interactions Heavy quark effective theory Lattice QCD Phenomenology Exotic mesons

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High-frequency suppression of inductive coupling between flux qubit and transmission line resonator

arXiv

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arXiv 2023年

作者： Ashhab, Sahel Ao, Ziqiao Yoshihara, Fumiki Lupascu, Adrian Semba, Kouichi Advanced ICT Institute National Institute of Information and Communications Technology 4-2-1 Nukuikitamachi Koganei Tokyo184-8795 Japan Department of Applied Physics Waseda University Okubo 3-4-1 Shinjuku-ku Tokyo169-8555 Japan Department of Advanced Science and Engineering Waseda University 3-4-1 Okubo Shinjuku-ku Tokyo169-8555 Japan Department of Physics Tokyo University of Science 1-3 Kagurazaka Shinjuku-ku Tokyo162-8601 Japan Institute for Quantum Computing University of Waterloo WaterlooONN2L 3G1 Canada Department of Physics and Astronomy University of Waterloo WaterlooONN2L 3G1 Canada Waterloo Institute for Nanotechnology University of Waterloo WaterlooONN2L 3G1 Canada Institute for Photon Science and Technology The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-0033 Japan

We perform theoretical calculations to investigate the naturally occurring high-frequency cutoff in a circuit comprising a flux qubit coupled inductively to a transmission line resonator (TLR). Specifically, a decoupling occurs between the qubit and the high-frequency modes. The coupling strength between the qubit and resonator modes increases with mode frequency ω as √ω at low frequencies and decreases as 1/√ω at high frequencies. This result is similar to those of past studies that considered somewhat similar circuit designs. By avoiding the approximation of ignoring the qubit-TLR coupling in certain steps in the analysis, we obtain effects not captured in previous studies. In particular, we obtain a resonance effect that shifts the TLR mode frequencies close to qubit oscillation frequencies. We derive expressions for the TLR mode frequencies, qubit-TLR coupling strengths and qubit Lamb shift. We identify features in the spectrum of the system that can be used in future experiments to test and validate the theoretical model. Copyright © 2023, The Authors. All rights reserved.

关键词： Electric lines

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DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials

arXiv

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arXiv 2025年

作者： Zeng, Jinzhe Zhang, Duo Peng, Anyang Zhang, Xiangyu He, Sensen Wang, Yan Liu, Xinzijian Bi, Hangrui Li, Yifan Cai, Chun Zhang, Chengqian Du, Yiming Zhu, Jia-Xin Mo, Pinghui Huang, Zhengtao Zeng, Qiyu Shi, Shaochen Qin, Xuejian Yu, Zhaoxi Luo, Chenxing Ding, Ye Liu, Yun-Pei Shi, Ruosong Wang, Zhenyu Bore, Sigbjørn Løland Chang, Junhan Deng, Zhe Ding, Zhaohan Han, Siyuan Jiang, Wanrun Ke, Guolin Liu, Zhaoqing Lu, Denghui Muraoka, Koki Oliaei, Hananeh Singh, Anurag Kumar Que, Haohui Xu, Weihong Xu, Zhangmancang Zhuang, Yong-Bin Dai, Jiayu Giese, Timothy J. Jia, Weile Xu, Ben York, Darrin M. Zhang, Linfeng Wang, Han School of Artificial Intelligence and Data Science Unversity of Science and Technology of China Hefei China AI for Science Institute Beijing100080 China DP Technology Beijing100080 China Academy for Advanced Interdisciplinary Studies Peking University Beijing100871 China State Key Lab of Processors Institute of Computing Technology Chinese Academy of Sciences Beijing100871 China University of Chinese Academy of Sciences Beijing China Baidu Inc. Beijing China Department of Computer Science University of Toronto TorontoON Canada Department of Chemistry Princeton University PrincetonNJ08540 United States University of Chinese Academy of Sciences Beijing100871 China State Key Laboratory of Physical Chemistry of Solid Surfaces iChEM College of Chemistry and Chemical Engineering Xiamen University Xiamen361005 China College of Integrated Circuits Hunan University Changsha410082 China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Center for Smart Materials and Device Integration School of Material Science and Engineering Wuhan University of Technology Wuhan430070 China College of Science National University of Defense Technology Changsha410073 China Hunan Key Laboratory of Extreme Matter and Applications National University of Defense Technology Changsha410073 China ByteDance Research Beijing100098 China Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo315201 China College of Materials Science and Opto-Electronic Technology University of Chinese Academy of Sciences Beijing100049 China Key Laboratory of Theoretical and Computational Photochemistry of Ministry of Education College of Chemistry Beijing Normal University Beijing100875 China Department of Geosciences Princeton University PrincetonNJ08544 United States Department of Applied Physics and Applied Mathematics Columbia University New YorkNY10027 United States IKKEM Fujian Xiamen361005 China Graduate

In recent years, machine learning potentials (MLPs) have become indispensable tools in physics, chemistry, and materials science, driving the development of software packages for molecular dynamics (MD) simulations and related applications. These packages, typically built on specific machine learning frameworks such as TensorFlow, PyTorch, or JAX, face integration challenges when advanced applications demand communication across different frameworks. The previous TensorFlow-based implementation of DeePMD-kit exemplified these limitations. In this work, we introduce DeePMD-kit version 3, a significant update featuring a multi-backend framework that supports TensorFlow, PyTorch, JAX, and PaddlePaddle backends, and demonstrate the versatility of this architecture through the integration of other MLPs packages and of Differentiable Molecular Force Field. This architecture allows seamless backend switching with minimal modifications, enabling users and developers to integrate DeePMD-kit with other packages using different machine learning frameworks. This innovation facilitates the development of more complex and interoperable workflows, paving the way for broader applications of MLPs in scientific research. Copyright © 2025, The Authors. All rights reserved.

关键词： Molecular dynamics

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CircuitQ: An open-source toolbox for superconducting circuits

arXiv

引用

arXiv 2021年

作者： Aumann, Philipp Menke, Tim Oliver, William D. Lechner, Wolfgang Institute for Theoretical Physics University of Innsbruck InnsbruckA-6020 Austria Research Laboratory of Electronics Massachusetts Institute of Technology CambridgeMA02139 United States Department of Physics Massachusetts Institute of Technology CambridgeMA02139 United States Department of Physics Harvard University CambridgeMA02138 United States MIT Lincoln Laboratory 244 Wood Street LexingtonMA02420 United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States Parity Quantum Computing GmbH InnsbruckA-6020 Austria

We introduce CircuitQ, an open-source toolbox for the analysis of superconducting circuits implemented in Python. It features the automated construction of a symbolic Hamiltonian of the input circuit and a dynamic numerical representation of the Hamiltonian with a variable basis choice. The software implementation is capable of choosing the basis in a fully automated fashion based on the potential energy landscape. Additional features include the estimation of the T1 lifetimes of the circuit states under various noise mechanisms. We review previously established circuit quantization methods and formulate them in a way that facilitates the software implementation. The toolbox is then showcased by applying it to practically relevant qubit circuits and comparing it to specialized circuit solvers. Our circuit quantization is applicable to circuit inputs from a large design space, and the software is open-sourced. We thereby add an important resource for the design of new quantum circuits for quantum information processing applications. © 2021, CC BY.

关键词： Hamiltonians

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Topological phase transition in Sb-doped Mg3Bi2 monocrystalline thin films

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Physical Review B 2021年第12期103卷 125405-125405页

作者： Tong Zhou Mingyu Tong Yun Zhang Xiangnan Xie Zhen-Yu Wang Tian Jiang Xie-Gang Zhu Xin-Chun Lai Science and Technology on Surface Physics and Chemistry Laboratory Jiangyou 621908 Sichuan People's Republic of China State Key Laboratory of High Performance Computing College of Computer National University of Defense Technology Changsha 410073 People's Republic of China Beijing Institute for Advanced Study National University of Defense Technology Beijing 100020 People's Republic of China Institute of Materials China Academy of Engineering Physics Mianyang 621700 Sichuan People's Republic of China College of Advanced Interdisciplinary Studies National University of Defense Technology Changsha 410073 People's Republic of China National Innovation Institute of Defense Technology Academy of Military Sciences PLA China Beijing 100010 People's Republic of China Beijing Academy of Quantum Information Sciences Beijing 100193 People's Republic of China

Mg3Bi2 has been proved to be a semimetal with topological surface states (referred to as a topological semimetal, TSM) in the presence of spin-orbit coupling (SOC), and predicted to be a type-II nodal line semimetal (NSM) in the absence of SOC. It is possible to tune the effective SOC in Mg3Bi2 by substituting the heavy Bi atom with lighter atoms, such as Sb or As, which results in topological phase transitions. Here in our work we investigate the evolution of the transport properties and band structures of Mg3Bi2 by doping different concentrations of Sb through molecular beam epitaxy. Our results demonstrate the existence of phase transitions of TSM to trivial semimetal (SM) and SM to trivial insulator, with Sb concentration x at x1≈0.44–0.64 and x2≈1.39, respectively. Further theoretical calculations give values of x1≈0.523 and x2≈1.10, which agrees well with our experimental results. And all these results are concluded into a Mg3Bi2−xSbx phase diagram. Our work will stimulate more explorations to the possibilities of the realization of type-II NSM in Mg3Bi2 by various elements substitution.

关键词： Surface states Topological materials Topological phase transition Weak antilocalization Angle-resolved photoemission spectroscopy

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