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arXiv 2022年

作者： Lewis, Laura Zhu, Daiwei Gheorghiu, Alexandru Noel, Crystal Katz, Or Harraz, Bahaa Wang, Qingfeng Risinger, Andrew Feng, Lei Biswas, Debopriyo Egan, Laird Vidick, Thomas Cetina, Marko Monroe, Christopher Institute for Quantum Information and Matter Department of Computing and Mathematical Sciences California Institute of Technology CA91125 United States Division of Physics Mathematics and Astronomy California Institute of Technology CA91125 United States Joint Quantum Institute Departments of Physics and Electrical and Computer Engineering University of Maryland College ParkMD20742 United States Joint Center for Quantum Information and Computer Science NIST University of Maryland College ParkMD20742 United States IonQ Inc. College ParkMD20740 United States Departments of Electrical and Computer Engineering University of Maryland College ParkMD20742 United States Institute for Theoretical Studies ETH Zürich CH 8001 Switzerland Duke Quantum Center Department of Physics Duke University DurhamNC27708 United States Department of Electrical and Computer Engineering Duke University DurhamNC27708 United States Chemical Physics Program Institute for Physical Science and Technology University of Maryland College ParkMD20742 United States

A test of quantumness is a protocol where a classical user issues challenges to a quantum device to determine if it exhibits non-classical behavior, under certain cryptographic assumptions. Recent attempts to implement such tests on current quantum computers rely on either interactive challenges with efficient verification, or non-interactive challenges with inefficient (exponential time) verification. In this paper, we execute an efficient non-interactive test of quantumness on an ion-trap quantum computer. Our results significantly exceed the bound for a classical device’s success. Copyright © 2022, The Authors. All rights reserved.

关键词： Qubits

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Antenna characterization for the HIRAX experiment

arXiv

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arXiv 2022年

作者： Kuhn, Emily R. Saliwanchik, Benjamin R.B. Bandura, Kevin Bianco, Michele Chiang, H. Cynthia Crichton, Devin Deng, Meiling Gaddam, Sindhu Gerodias, Kit Gumba, Austin Harris, Maile Moodley, Kavilan Mugundhan, V. Newburgh, Laura Peterson, Jeffrey Pieters, Elizabeth Polish, Anna R. Refregier, Alexandre Sampath, Ajith Santos, Mario G. Sengate, Onkabetse Sievers, Jonathan Smith, Ema Tyndall, Will Walters, Anthony Weltman, Amanda Wulf, Dallas Department of Physics Yale University New HavenCT United States Instrumentation Division Brookhaven National Laboratory UptonNY United States Department of Computer Science and Electrical Engineering Center for GravitationalWaves and Cosmology West Virginia University MorgantownWV United States Laboratoire d'Astrophysique Ecole Polytechnique Federale de Lausanne EPFL Observatoire de Sauverny Versoix Switzerland Department of Physics McGill University MontrealQC Canada Institute for Particle Physics and Astrophysics ETH Zurich Zurich Switzerland Perimeter Institute for Theoretical Physics WaterlooON Canada Dominion Radio Astrophysical Observatory KaledenBC Canada School of Mathematics Statistics and Computer Science UKZN Saudi Arabia Astrophysics Research Centre UKZN Saudi Arabia Dept of Physics Carnegie Mellon University PittsburghPA United States Department of Physics and Astronomy University of Western Cape Cape Town7535 South Africa School of Chemistry and Physics UKZN Saudi Arabia Department of Mathematics and Applied Mathematics University of Cape Town Saudi Arabia

The Hydrogen Intensity and Real-time Analysis eXperiment (HIRAX) aims to improve constraints on the dark energy equation of state through measurements of large-scale structure at high redshift (0.8 700MHz. Noise temperature measurements of the HIRAX feeds were performed in a custom apparatus built at Yale. In this system, identical loads, one cryogenic and the other at room temperature, are used to take a differential (Y-factor) measurement from which the noise of the system is inferred. Several measurement sets have been conducted using the system, involving CHIME feeds as well as four of the HIRAX active feeds. These measurements give the first noise temperature measurements of the HIRAX feed, revealing a ∼60K noise temperature (relative to 30K target) with 40K peak- to-peak frequency-dependent features, and provide the first demonstration of feed repeatability. Both findings inform current and future feed designs. © 2022, CC BY.

关键词： Equations of state

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A novel cascade heat integration configuration for electricity/freshwater/hydrogen outputs using SOFC-GT, multi-effect desalination, and PEM electrolysis using machine learning optimization

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Case studies in Thermal Engineering 2025年 72卷

作者： Zuo, Zhaoyang Wang, Junhua Samad, Sarminah Othman, Nashwan Adnan Almadhor, Ahmad Ghandour, Raymond Alsayer, Ibrahim A Abduvalieva, Dilsora Alkhalaf, Salem Babiker, Samah G. School of Mechanical Engineering Xijing University Shaanxi Xi'an710123 China School of Computer Science South China Business College Guangdong University of Foreign Studies Gangzhou Guangdong510545 China Department of Management College of Business Administration Princess Nourah Bint Abdulrahman University Riyadh 11671 Saudi Arabia Department of Computer Engineering College of Engineering Knowledge University Erbil44001 Iraq Department of Computer Engineering Al-Kitab University Altun Kupri Iraq Department of Computer Engineering and Networks College of Computer and Information Sciences Jouf University Saudi Arabia College of Engineering and Technology American University of the Middle East Egaila54200 Kuwait Department of Chemical and Materials Engineering Engineering College Northern Border University Arar91431 Saudi Arabia Department of Mathematics and Information Technologies Tashkent State Pedagogical University Bunyodkor avenue 27 Tashkent100070 Uzbekistan Department of Computer Engineering College of Computer Qassim University Buraydah Saudi Arabia Department of Electronic Physics Faculty of Applied Science Red Sea University Port Sudan Sudan

The current study presents an innovative integrated multi-generation system tailored for residential communities based on a novel cascade heat integration configuration. The proposed system is designed for scalability, making it adaptable for various residential communities, from small housing complexes to larger urban developments. Its modular architecture allows flexible integration with existing infrastructure, enabling widespread deployment in diverse geographic and economic conditions. Utilizing a real-Time machine learning framework, the system dynamically optimizes energy distribution and operational efficiency, making it feasible for large-scale implementation while maintaining economic viability and environmental benefits. Hence, a real-Time machine learning framework is implemented to optimize key operational parameters dynamically, ensuring efficient fuel utilization, energy distribution, and load balancing across the system. The ML model continuously processes sensor data to adjust SOFC current density, GT pressure ratio, and ORC steam pressure, maximizing exergy efficiency while minimizing operational costs and CO2 emissions. Additionally, it enhances system reliability through predictive maintenance and demand-based power allocation, enabling a more adaptive and cost-effective multi-generation process. Noteworthy outcomes highlight an exergy efficiency improvement from 48 % to 60 % and a power output increase from 6.1 MW to 11.6 MW. Additionally, the levelized cost of electricity is notably reduced from 8 to 3 cents/kWh. The system also provides extra benefits by generating freshwater and hydrogen, addressing various societal challenges. © 2025 The Authors.

关键词： Predictive maintenance

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Propagation of ion beam modes in a spin degenerate quantum magneto plasma in presence of ionic pressure anisotropy

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AIP Conference Proceedings 2023年第1期2819卷

作者： Manoj Kumar Deka Deepsikha Mahanta Apul Narayan Dev Jnanjyoti Sarma Sanjay K. Mishra Eeshankur Saikia Department of Applied Sciences Gauhati University Guwahati 781014 India Department of Mathematics Gauhati University Guwahati 781014 India Computer Science and Information Technology Siksha ‘O’ Anusandhan (Deemed to be University) Bhubaneswar 751030 India Department of Mathematics Radha Govinda Baruah College Guwahati 781025 India Planetary Sciences Division Physical Research LaboratoryAhmedabad 380009 India

The features of ion-acoustic shock wave propagating in a degenerate ion beam driven anisotropic plasma in the presence of polarization of up spin and down spin electron is studied including the effect of anisotropic viscosity. Using the reductive perturbation technique, a Zakharov-Kuznetsov(Z-K)-Burger equation is derived and the effect of different plasma parameters on the shock wave profile is studied from the steady state solution of Z-K-B equation. Under the suitable combination of physically admissible parameters, the existence conditions as well as nature of shock propagation in such plasma systems are examined. It is found that the influence of ion beams may produce four distinct modes of propagation apart from the inherent ion acoustic mode, namely, fast beam mode, slow beam mode, a coupled mode as well as an unstable mode. Like classical plasmas, the fast beam mode appears as compressive while the slow beam mode appears as rarefactive shock wave and within the real physical situation, the unstable mode fails to propagate as shock wave.

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On the initial value problem for a class of nonlinear biharmonic equation with time-fractional derivative

arXiv

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arXiv 2021年

作者： Nguyen, Anh Tuan Caraballo, Tomás Tuan, Nguyen Huy Division of Applied Mathematics Thu Dau Mot University Duong Province Binh Viet Nam Departamento de Ecuaciones Diferenciales y Análisis Numérico C/ Tarfia s/n Facultad de Matemáticas Universidad de Sevilla Sevilla41080 Spain Department of Mathematics and Computer Science University of Science Ho Chi Minh City Viet Nam Vietnam National University Ho Chi Minh City Viet Nam

In this work, we investigate the IVP for a time-fractional fourth-order equation with nonlinear source terms. More specifically, we consider the time-fractional biharmonic with exponential nonlinearity and the time-fractional Cahn-Hilliard equation. By using the Fourier transform concept, the generalized formula for the mild solution as well as the smoothing effects of resolvent operators are proved. For the IVP associated with the first one, by using the Orlicz space with the function Ξ(z) = e|z|p − 1 and some embeddings between it and the usual Lebesgue spaces, we prove that the solution is a global-in-time solution or it shall blow up in a finite time if the initial value is regular. In the case of singular initial data, the local-in-time/global-in-time existence and uniqueness are derived. Also, the regularity of the mild solution is investigated. For the IVP associated with the second one, some modifications to the generalized formula are made to deal with the nonlinear term. We also establish some important estimates for the derivatives of resolvent operators, they are the basis for using the Picard sequence to prove the local-in-time existence of the *** Codes 26A33, 33E12, 35B40, 35K30, 35K58 © 2021, CC BY.

关键词： Banach spaces

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Chinese Journal of Physics 2025年 93卷 649-649页

作者： Javaid Ali Muhammad Rafiq Nauman Ahmed Sultan Alqahtani Ilyas Khan Abha Singh Department of Mathematics GGCT Punjab Higher Education Department Lahore Pakistan Department of Mathematics Faculty of Sciences University of Central Punjab Lahore Pakistan Department of Computer Science and Mathematics Lebanese American University Beirut Lebanon Department of Mathematics and Statistics The University of Lahore Lahore Pakistan College of Engineering Mechanical Engineering Department King Khalid University Abha Saudi Arabia Department of Mathematics Saveetha School of Engineering SIMATS Chennai Tamil Nadu India Department of Mathematics College of Science Al-Zulfi Majmaah University Al-Majmaah 11952 Saudi Arabia Hourani Center for Applied Scientific Research Al-Ahliyya Amman University Amman Jordan Al-Ayen research center Al-Ayen University Iraq Department of Basic Sciences College of Sciences and Theoretical Studies Dammam-branch Saudi Electronic University Riyadh Saudi Arabia

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An enhanced Walrus Optimizer with opposition-based learning and mutation strategy for data clustering

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Array 2025年 26卷

作者： Abualigah, Laith Alomari, Saleh Ali Almomani, Mohammad H. Zitar, Raed Abu Migdady, Hazem Saleem, Kashif Smerat, Aseel Snasel, Vaclav Ezugwu, Absalom E. Computer Science Department Al al-Bayt University Mafraq25113 Jordan Faculty of Science and Information Technology Jadara University Irbid21110 Jordan Department of Mathematics Facility of Science The Hashemite University P.O box 330127 Zarqa13133 Jordan Faculty of Engineering and Computing Liwa College Abu Dhabi United Arab Emirates CSMIS Department Oman College of Management and Technology Barka320 Oman Department of Computer Science & Engineering College of Applied Studies & Community Service King Saud University Riyadh11362 Saudi Arabia Faculty of Educational Sciences Al-Ahliyya Amman University Amman19328 Jordan Computer Technologies Engineering Mazaya University College Nasiriyah Iraq Faculty of Electrical Engineering and Computer Science VŠB-Technical University of Ostrava Poruba-Ostrava 70800 Czech Republic Unit for Data Science and Computing North-West University 11 Hofman Street Potchefstroom2520 South Africa

Data clustering plays a crucial role in various domains, such as image processing, pattern recognition, and data mining. Traditional clustering techniques often suffer from limitations like sensitivity to initialization, poor convergence, and entrapment in local optima. To address these challenges, this paper proposes an Enhanced Walrus Optimizer (IWO) tailored for clustering tasks. The proposed IWO integrates two powerful strategies–Opposition-Based Learning (OBL) and Mutation Search Strategy (MSS)–to improve population diversity and prevent premature convergence, thereby enhancing both exploration and exploitation capabilities. These enhancements enable more accurate and stable identification of cluster centers. The effectiveness of IWO is validated through extensive experiments on multiple benchmark clustering datasets and compared against several state-of-the-art metaheuristic algorithms, including PSO, GWO, AOA, and others. The results demonstrate that IWO achieves better results, indicating improved compactness and separation of clusters. Statistical validation using p-values and ranking scores further confirms the superiority of the proposed method. These findings suggest that IWO offers a robust and flexible framework for solving complex clustering problems. Future work will explore hybrid deep learning-integrated models and parallel implementations to enhance scalability. © 2025

关键词： Swarm intelligence

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Quantum spectral methods for differential equations

arXiv

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arXiv 2019年

作者： Childs, Andrew M. Liu, Jin-Peng Joint Center for Quantum Information and Computer Science Department of Computer Science Institute for Advanced Computer Studies Applied Mathematics Statistics and Scientific Computation

Recently developed quantum algorithms address computational challenges in numerical analysis by performing linear algebra in Hilbert space. Such algorithms can produce a quantum state proportional to the solution of a d-dimensional system of linear equations or linear differential equations with complexity poly(log d). While several of these algorithms approximate the solution to within o with complexity poly(log(1/o)), no such algorithm was previously known for differential equations with time-dependent coefficients. Here we develop a quantum algorithm for linear ordinary differential equations based on so-called spectral methods, an alternative to finite difference methods that approximates the solution globally. Using this approach, we give a quantum algorithm for time-dependent initial and boundary value problems with complexity poly(log d, log(1/o)). Copyright © 2019, The Authors. All rights reserved.

关键词： Quantum theory

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P193 Fatigued patients with Inflammatory Bowel Disease exhibit distinct systemic antibody epitope repertoires

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Journal of Crohn's and Colitis 2024年第SUPPLEMENT_1期18卷 i502–i503页

作者： Griesbaum, M G Vogl, T Andreu-Sánchez, S Klompus, S Kalka, I N Leviatan, S van Dullemen, H M Visschedijk, M C Festen, E A M Faber, K N Dijkstra, G Weinberger, A Segal, E Weersma, R K Bourgonje, A R University Medical Center Groningen Department of Gastroenterology and Hepatology Groningen The Netherlands Medical University of Vienna Center for Cancer Research Vienna Austria University Medical Center Groningen Department of Genetics Groningen The Netherlands Weizmann Institute of Science Department of Computer Science and Applied Mathematics and Department of Molecular Cell Biology Rehovot Israel Icahn School of Medicine at Mount Sinai The Henry D. Janowitz Division of Gastroenterology- Department of Medicine New York United States

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Leveraging randomized compiling for the quantum imaginary-time-evolution algorithm

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Physical Review Research 2022年第3期4卷 033140-033140页

作者： Jean-Loup Ville Alexis Morvan Akel Hashim Ravi K. Naik Marie Lu Bradley Mitchell John-Mark Kreikebaum Kevin P. O'Brien Joel J. Wallman Ian Hincks Joseph Emerson Ethan Smith Ed Younis Costin Iancu David I. Santiago Irfan Siddiqi Quantum Nanoelectronics Laboratory Dept. of Physics 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 02139 USA Inst. for Quantum Computing and Dept. of Applied Mathematics University of Waterloo Waterloo Ontario Canada N2L 3G1 Quantum Benchmark Inc. Kitchener Ontario Canada N2H 5G5

Recent progress in noisy intermediate-scale quantum (NISQ) hardware shows that quantum devices may be able to tackle complex problems even without error correction. However, coherent errors due to the increased complexity of these devices is an outstanding issue. They can accumulate through a circuit, making their impact on algorithms hard to predict and mitigate. Iterative algorithms like quantum imaginary time evolution are susceptible to these errors. This article presents the combination of both noise tailoring using randomized compiling and error mitigation with purification. We also show that cycle benchmarking gives an estimate of the reliability of the purification. We apply this method to the quantum imaginary time evolution of a transverse field Ising model and report an energy estimation error and a ground-state infidelity both below 1%. Our methodology is general and can be used for other algorithms and platforms. We show how combining noise tailoring and error mitigation will push forward the performance of NISQ devices.

关键词： Measurement-based quantum computing Quantum algorithms Quantum benchmarking Quantum computation Quantum control Quantum information processing Quantum simulation

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