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Naive lattice fermion without doublers

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arXiv 2021年

作者： Guo, Xingyu Ma, Chen-Te Zhang, Hui 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 Asia Pacific Center for Theoretical Physics Pohang University of Science and Technology Gyeongsangbuk-do Pohang37673 Korea Republic of School of Physics and Telecommunication Engineering South China Normal University Guangdong Guangzhou510006 China The Laboratory for Quantum Gravity and Strings Department of Mathematics and Applied Mathematics University of Cape Town Private Bag Rondebosch7700 South Africa

We discuss the naive lattice fermion without the issue of doublers. A local lattice massless fermion action with chiral symmetry and hermiticity cannot avoid the doubling problem from the Nielsen-Ninomiya theorem. Here we adopt the forward finite-difference deforming the γ5-hermiticity but preserving the continuum chiral-symmetry. The lattice momentum is not hermitian without the continuum limit now. We demonstrate that there is no doubling issue from an exact solution. The propagator only has one pole in the first-order accuracy. Therefore, it is hard to know the avoiding due to the non-hermiticity. For the second-order, the lattice propagator has two poles as before. This case also does not suffer from the doubling problem. Hence separating the forward derivative from the backward one evades the doublers under the field theory limit. Simultaneously, it is equivalent to breaking the hermiticity. In the end, we discuss the topological charge and also demonstrate the numerical implementation of the Hybrid Monte Carlo. Copyright © 2021, The Authors. All rights reserved.

关键词： Poles

Toward the end-to-end optimization of particle physics instruments with differentiable programming

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Reviews in Physics 2023年 10卷

作者： Dorigo, Tommaso Giammanco, Andrea Vischia, Pietro Aehle, Max Bawaj, Mateusz Boldyrev, Alexey de Castro Manzano, Pablo Derkach, Denis Donini, Julien Edelen, Auralee Fanzago, Federica Gauger, Nicolas R. Glaser, Christian Baydin, Atılım G. Heinrich, Lukas Keidel, Ralf Kieseler, Jan Krause, Claudius Lagrange, Maxime Lamparth, Max Layer, Lukas Maier, Gernot Nardi, Federico Pettersen, Helge E.S. Ramos, Alberto Ratnikov, Fedor Röhrich, Dieter de Austri, Roberto Ruiz del Árbol, Pablo Martínez Ruiz Savchenko, Oleg Simpson, Nathan Strong, Giles C. Taliercio, Angela Tosi, Mia Ustyuzhanin, Andrey Zaraket, Haitham MODE Collaboration Istituto Nazionale di Fisica Nucleare Sezione di Padova Italy Université catholique de Louvain Belgium Chair for Scientific Computing Technische Universität Kaiserslautern Germany Università di Perugia and INFN Sezione di Perugia Italy HSE University Russia Université Clermont Auvergne Laboratoire de Physique de Clermont CNRS/IN2P3 France SLAC National Accelerator Laboratory United States Department of Physics and Astronomy Uppsala University Sweden Department of Computer Science University of Oxford United Kingdom Physik-Department Technische Universität München Germany Center for Technology and Transfer University of Applied Sciences Worms Germany CERN Switzerland NHETC Department of Physics and Astronomy Rutgers University United States Università di Napoli "Federico II" Italy Germany Università degli Studi di Padova Italy Department of Oncology and Medical Physics Haukeland University Hospital Norway Instituto de Física Corpuscular UV-CSIC Spain Department of Physics and Technology University of Bergen Norway Instituto de Física de Cantabria UC-CSIC Spain Lund University Sweden Multi-Disciplinary Physics Laboratory Optics and Fiber Optics Group Faculty of Sciences Lebanese University Lebanon the World Constructor University Bremen gGmbH Campus Ring 1 Bremen 28759 Germany

The full optimization of the design and operation of instruments whose functioning relies on the interaction of radiation with matter is a super-human task, due to the large dimensionality of the space of possible choices for geometry, detection technology, materials, data-acquisition, and information-extraction techniques, and the interdependence of the related parameters. On the other hand, massive potential gains in performance over standard, "experience-driven" layouts are in principle within our reach if an objective function fully aligned with the final goals of the instrument is maximized through a systematic search of the configuration space. The stochastic nature of the involved quantum processes make the modeling of these systems an intractable problem from a classical statistics point of view, yet the construction of a fully differentiable pipeline and the use of deep learning techniques may allow the simultaneous optimization of all design parameters. In this white paper, we lay down our plans for the design of a modular and versatile modeling tool for the end-to-end optimization of complex instruments for particle physics experiments as well as industrial and medical applications that share the detection of radiation as their basic ingredient. We consider a selected set of use cases to highlight the specific needs of different applications. © 2023 The Author(s)

关键词： Astrophysics

Randomized Compiling for Scalable Quantum computing on a Noisy Superconducting Quantum Processor

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Physical Review X 2021年第4期11卷 041039-041039页

作者： Akel Hashim Ravi K. Naik Alexis Morvan Jean-Loup Ville Bradley Mitchell John Mark Kreikebaum Marc Davis Ethan Smith Costin Iancu Kevin P. O’Brien Ian Hincks Joel J. Wallman Joseph Emerson Irfan Siddiqi Quantum Nanoelectronics Laboratory Department of Physics University of California at Berkeley Berkeley California 94720 USA Graduate Group in Applied Science and Technology University of California at Berkeley Berkeley California 94720 USA Computational Research Division Lawrence Berkeley National Lab Berkeley California 94720 USA Materials Sciences Division Lawrence Berkeley National Lab Berkeley California 94720 USA Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge Massachusetts 02142 USA Quantum Benchmark Inc. Kitchener Ontario N2H 5G5 Canada Keysight Technologies Canada Kanata Ontario K2K 2W5 Canada Institute for Quantum Computing and Department of Applied Mathematics University of Waterloo Waterloo Ontario N2L 3G1 Canada

The successful implementation of algorithms on quantum processors relies on the accurate control of quantum bits (qubits) to perform logic gate operations. In this era of noisy intermediate-scale quantum (NISQ) computing, systematic miscalibrations, drift, and crosstalk in the control of qubits can lead to a coherent form of error that has no classical analog. Coherent errors severely limit the performance of quantum algorithms in an unpredictable manner, and mitigating their impact is necessary for realizing reliable quantum computations. Moreover, the average error rates measured by randomized benchmarking and related protocols are not sensitive to the full impact of coherent errors and therefore do not reliably predict the global performance of quantum algorithms, leaving us unprepared to validate the accuracy of future large-scale quantum computations. Randomized compiling is a protocol designed to overcome these performance limitations by converting coherent errors into stochastic noise, dramatically reducing unpredictable errors in quantum algorithms and enabling accurate predictions of algorithmic performance from error rates measured via cycle benchmarking. In this work, we demonstrate significant performance gains under randomized compiling for the four-qubit quantum Fourier transform algorithm and for random circuits of variable depth on a superconducting quantum processor. Additionally, we accurately predict algorithm performance using experimentally measured error rates. Our results demonstrate that randomized compiling can be utilized to leverage and predict the capabilities of modern-day noisy quantum processors, paving the way forward for scalable quantum computing.

关键词： Quantum algorithms Quantum benchmarking Quantum control Quantum information with solid state qubits

Advanced numerical modeling for nonlinear responses of sandwich multiphase composite plates with viscoelastic damping core

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Advances in Engineering Software 2025年 208卷

作者： Ho-Nam Vu Duy-Khuong Ly Umut Topal Tan Nguyen T. Nguyen-Thoi Faculty of Civil Engineering School of Technology Van Lang University Ho Chi Minh City Viet Nam Laboratory for Computational Mechanics Institute for Computational Science and Artificial Intelligence Van Lang University Ho Chi Minh City Viet Nam Department of Civil Engineering Faculty of Technology Karadeniz Technical University Trabzon Turkey Smart Computing in Civil Engineering Research Group Faculty of Civil Engineering Ton Duc Thang University Ho Chi Minh City Vietnam Laboratory for Applied and Industrial Mathematics Institute for Computational Science and Artificial Intelligence Van Lang University Ho Chi Minh City Viet Nam Faculty of Mechanical-Electrical and Computer Engineering School of Technology Van Lang University Ho Chi Minh City Viet Nam

This study introduces an advanced numerical model for the nonlinear dynamic analysis of sandwich multiphase composite plates composed of carbon nanotubes (CNT), carbon fibers, and epoxy, featuring a viscoelastic core modeled using the Golla–Hughes–McTavish (GHM) method. The proposed framework uniquely combines the Cell-Based Smoothed Discrete Shear Gap Method (CS-DSG3) with the sinusoidal–zigzag shear deformation theory, pioneering their integration to improve layerwise modeling and viscoelastic damping analysis. The sinusoidal–zigzag theory effectively captures the continuous in-plane displacement distributions, yielding superior predictions of the layered structure’s mechanical response compared to classical theories. By incorporating the von Kármán displacement–strain relationship, the model effectively captures the passive damped dynamic behavior of viscoelastic core plate under large deformations. The Newmark time integration scheme and Picard’s methods are employed to efficiently solve the resulting nonlinear equations of motion at each time step. Validation against benchmark studies demonstrates the model’s accuracy and reliability in capturing the complex dynamic responses of laminated systems. A comprehensive parametric investigation further explores the impact of material properties, including the volume fractions and configurations of CNTs and carbon fibers, on the nonlinear dynamic behavior. These advancements position the model as a computationally efficient and high-fidelity tool for analyzing the nonlinear dynamics of complex laminated composite structures.

关键词： Carbon nanotubes (CNT) Cell-Based Smoothed Discrete Shear Gap Method Laminated multiphase composite plates Nonlinear dynamic analysis Sinusoidal–zigzag theory Viscoelastic core

Quantum Optimization of Maximum Independent Set using Rydberg Atom Arrays

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arXiv 2022年

作者： Ebadi, Sepehr Keesling, A. Cain, M. Wang, T.T. Levine, H. Bluvstein, D. Semeghini, G. Omran, A. Liu, J.-G. Samajdar, R. Luo, X.-Z. Nash, B. Gao, X. Barak, B. Farhi, E. Sachdev, S. Gemelke, N. Zhou, L. Choi, S. Pichler, H. Wang, S.-T. Greiner, M. Vuletić, V. Lukin, M.D. Department of Physics Harvard University CambridgeMA02138 United States QuEra Computing Inc. BostonMA02135 United States Department of Physics and Astronomy University of Waterloo WaterlooN2L 3G1 Canada Perimeter Institute for Theoretical Physics WaterlooONN2L 2Y5 Canada School of Engineering and Applied Science Harvard University CambridgeMA02138 United States Google Quantum AI VeniceCA90291 United States Center for Theoretical Physics Massachusetts Institute of Technology CambridgeMA02139 United States School of Natural Sciences Institute for Advanced Study PrincetonNJ08540 United States Walter Burke Institute for Theoretical Physics California Institute of Technology PasadenaCA91125 United States Institute for Theoretical Physics University of Innsbruck InnsbruckA-6020 Austria Institute for Quantum Optics and Quantum Information Austrian Academy of Sciences InnsbruckA-6020 Austria Department of Physics and Research Laboratory of Electronics Massachusetts Institute of Technology CambridgeMA02139 United States AWS Center for Quantum Computing PasadenaCA91125 United States

Realizing quantum speedup for practically relevant, computationally hard problems is a central challenge in quantum information science. Using Rydberg atom arrays with up to 289 qubits in two spatial dimensions, we experimentally investigate quantum algorithms for solving the Maximum Independent Set problem. We use a hardware-efficient encoding associated with Rydberg blockade, realize closed-loop optimization to test several variational algorithms, and subsequently apply them to systematically explore a class of graphs with programmable connectivity. We find the problem hardness is controlled by the solution degeneracy and number of local minima, and experimentally benchmark the quantum algorithm’s performance against classical simulated annealing. On the hardest graphs, we observe a superlinear quantum speedup in finding exact solutions in the deep circuit regime and analyze its origins. Copyright © 2022, The Authors. All rights reserved.

关键词： Benchmarking

Non-Locality6=Quantum Entanglement

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arXiv 2021年

作者： Guo, Xingyu Ma, Chen-Te Guangdong Provincial Key Laboratory of Nuclear Science Institute of Quantum Matter South China Normal University Guangdong Guangzhou510006 China Guangdong-Hong Kong Joint Laboratory of Quantum Matter Southern Nuclear Science Computing Center South China Normal University Guangdong Guangzhou510006 China Asia Pacific Center for Theoretical Physics Pohang University of Science and Technology Gyeongsangbuk-do Pohang37673 Korea Republic of School of Physics and Telecommunication Engineering South China Normal University Guangdong Guangzhou510006 China The Laboratory for Quantum Gravity and Strings Department of Mathematics and Applied Mathematics University of Cape Town Private Bag Rondebosch7700 South Africa

The unique entanglement measure is concurrence in a 2-qubit pure state. The maximum violation of Bell’s inequality is monotonically increasing for this quantity. Therefore, people expect that pure state entanglement is relevant to the non-locality. For justification, we extend the study to three qubits. We consider all possible 3-qubit operators with a symmetric permutation. When only considering one entanglement measure, the numerical result contradicts expectation. Therefore, we conclude "Non-Locality6=Quantum Entanglement". We propose the generalized R-matrix or correlation matrix for the new diagnosis of Quantum Entanglement. We then demonstrate the evidence by restoring the monotonically increasing result. Copyright © 2021, The Authors. All rights reserved.

关键词： Quantum entanglement

Agriculture-Ecosystem Observation Station(AEOS)Dataset Covering Black Earth Area in Northeast of China(V2.0)

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全球变化数据仓储（中英文）

全球变化数据仓储（中英文） 2023年第2期 1-3页

作者： FU Jingying LIAO Xiaoyong JIANG Dong LENG Guoyong LIANG Aizhen AO Man CHEN Haihua ZOU Wenxiu HUANG Yingxin LIU Huanjun ZHANG Lili ZHU Xiaoguang CHEN Cunhua HOU Ruixing GUAN Yixin LIN Gang LI Cheng LU Xinchun HU Juan QI Li WANG Yiang ZHANG Xudong WANG Peng CHI Dexiang LEI Zhigang LUO Sheng LIU Zichen ZHANG Dapeng LI Huapeng LIU Dongfang LI Xiang GAO Qiang YAN Shi LI Quanbiao GAO Liyao HE Dongshu Institute of Geographic Sciences and Natural Resource Research Chinese Academy of SciencesBeijing 100101China Northeast Institute of geography and Agroecology Chinese Academy of SciencesChangchun 130102China Northeast Institute of geography and Agroecology Chinese Academy of SciencesChangchun 130102China Lishu County People's Government Lishu 136500JilinChina Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China Northeast Institute of geography and AGgroecology Chinese Academy of SciencesHarbin 150081China Institute of Applied Ecology Chinese Academy of SciencesShenyang 110016China Beijing Tian Hang Hua Chuang Technology Co. Ltd.Beijing 100085China Panshi City Agriculture and Rural Affairs Bureau Panshi 132300JilinChina Institute of Geographic Sciences and Natural Resource Research Chinese Academy of SciencesBeijing 100101China Qiqihar City Agriculture and Rural Affairs Bureau Qiqihar 161000HeilongjiangChina Engineering Laboratory of intelligent agricultural machinery and equipment Chinese Academy of SciencesBeijing 100086China Lishu Academy of Agricultural Sciences Lishu 136500JilinChina Yi'an County Agriculture and Rural Affairs Bureau Qiqihar 161500HeilongjiangChina Agricultural Technology Extension Center of Yi'an County Qiqihar 161500HeilongjiangChina Lanjia Rice Planting Cooperative in Panshi City Panshi 132300JilinChina

This dataset is an updated version(Version 2.0)of Agriculture-Ecosystem Observation Station(AEOS)Dataset Covering Black Earth Area in Northeast of China(Since 2021)().The updated contents include:(1)The number of observation stations has increased from 27 to *** increased observation stations are located in Shuangyashan and Suihua(Heilongjiang Province),Changchun and Songyuan(Jilin Province),Tieling(Liaoning Province).The observation stations cover the four provinces and regions in Northeast of China and seven black soil demonstration areas of the Chinese Academy of Sciences.(2)The time range of observation data has been extended from May 19,2022 to December 31,*** DOI of this dataset is 10.3974/geodb.2022.06.08.V2,which was only updated the version part of the original version registration *** dataset includes:(1)geo-location of the 32 observation stations in the black earth area;(2)climate and soil observation data,including air temperature,air pressure,relative humidity,wind speed,luminance,precipitation,soil temperature,soil moisture,etc.(3)the video images of typical crop growth *** dataset is archived ***,.xlsx,*** data formats,and consists of 50 data files with data size of 48.5 MB(Compressed into one single file with 48 MB).The dataset will be updated quarterly.

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Detecting the maximum likelihood transition path from data of stochastic dynamic systemsI

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arXiv 2020年

作者： Dai, Min Gao, Ting Lu, Yubin Zheng, Yayun Duan, Jinqiao School of Mathematics and Statistics Center for Mathematical Science Huazhong University of Science and Technology Wuhan430074 China Twitter 1335 Market St #900 San FranciscoCA94103 United States Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan430074 China Department of Applied Mathematics College of Computing Illinois Institute of Technology ChicagoIL60616 United States

In recent years, the discovery of complex dynamic systems in various fields through data-driven methods has attracted widespread attention. This method has played the role of data and has become an advantageous tool for us to study complex phenomena. In this work, we propose a framework for detecting the dynamic behavior, such as the maximum likelihood transition path, of stochastic dynamic systems from data. For the stochastic dynamic system, we need to use the Kramers-Moyal formula to convert it into a deterministic form for processing, then use the extended SINDy method to obtain the parameters of stochastic dynamic systems, and finally calculate the maximum likelihood transition path. We give two examples of stochastic dynamical systems driven by additive and multiplicative Gaussian noise, and demonstrate the validity of the method by reproducing the known dynamical system behavior. Copyright © 2020, The Authors. All rights reserved.

关键词： Maximum likelihood

Dual-responsive nanogels with high drug loading for enhanced tumor targeting and treatment

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Chinese Chemical Letters 2024年

作者： Haotian Shi Yuchao Luo Song Zhang Meijun Zhao Chaoyong Liu Qing Pei Helei Wang Qiong Dai Zhigang Xie Bin Xu Wenjing Tian State Key Laboratory of Supramolecular Structure and Materials College of Chemistry Jilin University Changchun 130012 China Beijing Advanced Innovation Center for Soft Matter Science and Engineering College of Life Science and Technology Beijing University of Chemical Technology Beijing 100029 China School of Mechanical Science and Aerospace Engineering Jilin University Changchun 130022 China Research Center for Life Science Computing Zhejiang Lab Hangzhou 311100 China State Key Laboratory of Polymer Physics and Chemistry Changchun Institute of Applied Chemistry Chinese Academy of Sciences Changchun 130022 China Gastric and Intestinal Department General Surgery Center First Hospital of Jilin University Changchun 130021 China

Nanomedicine holds considerable promise for advancing cancer therapy, however, effective delivery of drugs to solid tumors remains a challenge due to rapid systemic clearance and inefficient cellular uptake. Herein, we have developed a novel charge-reversible nanogel to deliver paclitaxel (PTX) dimers (DPP) with enhanced stability and targeting precision. The nanogels exhibit a dynamic charge-reversal mechanism responsive to the acidic tumor microenvironment (TME), optimizing the cellular uptake of prodrugs. In the high glutathione (GSH) conditions within cancer cells, the disulfide bonds in the DPP are cleaved, resulting in the intracellular release of active PTX and reduced drug toxicity to normal cells. In vivo pharmacokinetic studies revealed an extended plasma elimination half-life for the charge-reversible nanocarriers, and antitumor efficacy studies demonstrated superior tumor suppression with minimal systemic toxicity. This research underscores the potential of integrating charge-reversal and responsive release mechanisms into one nanocarrier system, balancing the long circulation and high tumor cell internalization capacity of the nanocarrier, and providing a promising strategy for targeted delivery of nanomedicine.

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