Article
Optics
Lennart Maximilian Seifert, Konstantin Beyer, Kimmo Luoma, Walter T. Strunz
Summary: This study experimentally investigates quantum steering of an open quantum system by measurements on its environment using contemporary quantum computers. Different measurement strategies and state tomography techniques are employed to successfully observe the presence of quantum steering and compare the performance qualities and noise levels of different quantum devices.
Article
Physics, Multidisciplinary
Conrad Strydom, Mark Tame
Summary: We propose and demonstrate an interleaved randomised benchmarking protocol for measurement-based quantum computers, which can estimate the fidelity of any single-qubit measurement-based gate. We tested the protocol on IBM superconducting quantum processors, successfully estimating the fidelities of Hadamard and T gates and detecting noise variations in different gate implementations.
Article
Quantum Science & Technology
Alexander Geng, Ali Moghiseh, Claudia Redenbach, Katja Schladitz
Summary: The rapid growth in the amount of data to be processed in image processing poses a challenge for efficient processing, potentially pushing even supercomputers to their limits. Quantum image processing shows promise in encoding images using fewer qubits than classical pixels. However, there is a lack of practical experiments and challenges in converting classical data to quantum states and interpreting the measurements. This paper investigates these practical questions, focusing on the feasibility of flexible representation of quantum images (FRQI) and explores the limits of image size in the current noisy intermediate-scale quantum era.
QUANTUM INFORMATION PROCESSING
(2023)
Article
Computer Science, Hardware & Architecture
Omid Assare, Rajesh K. Gupta
Summary: This study proposes a framework for estimating the number of timing errors experienced by an application running on a timing-speculative processor. It combines a gate-level dynamic timing analysis engine and an architecture-level execution-driven simulator based on a path activation model to estimate the likelihood of an instruction experiencing a timing error. The total number of timing errors is estimated using applied statistics laws. Experimental results demonstrate the significant impact of the combination of running application and input data on performance, highlighting the importance of application-specific analysis for evaluating timing-speculative processors.
IEEE TRANSACTIONS ON COMPUTERS
(2022)
Article
Clinical Neurology
Sinja Vogt, Felix Kleefeld, Corinna Preusse, Gabriele Arendt, Stefan Bieneck, Anna Brunn, Martina Deckert, Benjamin Englert, Hans-Hilmar Goebel, Anja Masuhr, Eva Neuen-Jacob, Cornelia Kornblum, Jens Reimann, Federica Montagnese, Benedikt Schoser, Werner Stenzel, Katrin Hahn
Summary: This study compared the clinical, histopathological, and transcriptomic characteristics of sporadic inclusion body myositis (sIBM) and HIV-associated IBM (HIV-IBM). The presence of KLRG1(+) cells was found to differentiate sIBM from HIV-IBM, suggesting a longer disease duration and T-cell stimulation in sIBM.
JOURNAL OF NEUROLOGY
(2023)
Article
Geriatrics & Gerontology
Gulistan Bahat, C. Kilic, S. Eris, M. A. Karan
Summary: The study compared the associations of low muscle power and sarcopenia with functional and performance measures. Results showed that low muscle power was related to disability measures, while muscle weakness was only related to disability in IADL. Low muscle power was more closely related to performance measures.
JOURNAL OF NUTRITION HEALTH & AGING
(2021)
Article
Multidisciplinary Sciences
Zihao Yuan, Ayse K. Coskun
Summary: This article introduces a deep learning-based cooling design optimization flow to address the heat dissipation issues caused by ultra-high chip power densities. The flow can rapidly and accurately determine the optimal cooling solution and parameters for a given chip.
Article
Multidisciplinary Sciences
Eric J. Zhang, Srikanth Srinivasan, Neereja Sundaresan, Daniela F. Bogorin, Yves Martin, Jared B. Hertzberg, John Timmerwilke, Emily J. Pritchett, Jeng-Bang Yau, Cindy Wang, William Landers, Eric P. Lewandowski, Adinath Narasgond, Sami Rosenblatt, George A. Keefe, Isaac Lauer, Mary Beth Rothwell, Douglas T. McClure, Oliver E. Dial, Jason S. Orcutt, Markus Brink, Jerry M. Chow
Summary: Scaling the number of qubits while maintaining high-fidelity quantum gates is a challenge in quantum computing. Laser annealing is used to selectively tune the frequency of transmon qubits in fixed-frequency architectures. Statistical analysis shows high precision and no measurable impact on qubit coherence. The tuned processor exhibits good gate error statistics, indicating potential for high-yield scaling beyond 1000 qubits.
Article
Materials Science, Paper & Wood
Hannes Orelma, Vesa Kunnari, Akio Yamamoto, Mikko Valkonen, Lauri Rautkari, Antti Korpela
Summary: This study investigated the coating of birch veneers with mechano-enzymatically manufactured microfibrillated cellulose (meMFC) to improve their mechanical strength and functionality. The coating process produced uniform layers on the veneer surface, significantly smoothening it. Pre-treatments such as sanding or using a primer enhanced the adhesion between meMFC and veneers. The meMFC coating slightly improved the transverse tensile strength of the veneers, and also introduced a thermochromic functionality that controlled their warming when exposed to solar radiation.
Article
Computer Science, Information Systems
Rosie Cane, Daryus Chandra, Soon Xin Ng, Lajos Hanzo
Summary: Experiments conducted on IBM Quantum devices using [4, 2, 2]-encoded gate sequences showed that gate sequences larger than 10 gates can be considered fault-tolerant, although not all circuits met the tolerance criterion. Some circuits exhibited high error rates that could not be mitigated through classical post-selection. The dominant gate errors were found to not be accurately represented by the popular Pauli error model, and the fault tolerance criterion is best assessed when circuits are restricted to low-dimensional output states.
Article
Mathematics
Mikhail Zymbler, Yana Kraeva
Summary: Currently, discovering subsequence anomalies in time series remains a popular research problem. The discord concept is considered one of the best approaches for this task. The MERLIN algorithm has recently been introduced to discover time series discords, but its parallelization could improve performance. In this article, we introduce PALMAD, a novel parallelization scheme for GPU, which outperforms parallel analogs in discovering anomalies.
Article
Multidisciplinary Sciences
Ahmed M. Mohamed, Nada Mubark, Saad Zagloul
Summary: This paper aims to evaluate the behavior of shared hierarchical memory systems by modeling their response time analytically. The proposed model considers the interdependence between different memory layers and differentiates between the memory response time and memory system time. It also evaluates the effect of memory hierarchy on the variance of the memory access time, as a large variance can significantly impact the performance of multicore processors.
SCIENTIFIC REPORTS
(2023)
Article
Computer Science, Hardware & Architecture
Sergey Malkovsky, Aleksei A. Sorokin, Georgiy Tsoy, Sergey P. Korolev, Sergey Smagin, Vadim A. Kondrashev
Summary: Fast Fourier transform is widely used in scientific and engineering fields, especially in speech and image recognition, signal analysis, and material modeling. Research on the efficiency of discrete Fourier transform computation on new hybrid computing systems has been conducted, providing conclusions on performance and recommendations for optimal operation of mathematical libraries.
JOURNAL OF SUPERCOMPUTING
(2021)
Article
Engineering, Electrical & Electronic
Huanliang Zheng, Yuhao Guo, Xingyu Yang, Shanlin Xiao, Zhiyi Yu
Summary: A novel SNN processor design is proposed in this brief, which achieves a balance between cost and performance, reducing memory utilization while improving inference speed and accuracy.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2021)
Article
Food Science & Technology
Estifanos Kassahun, Solomon Tibebu, Seblewongel Chaka, Yoktan Seifu, Meseret Wubetu
Summary: The manufacturing sector is crucial for the economic transformation of developing countries like Ethiopia. This study focuses on the utilization prospects, health, and environmental performance of Afro-food processing industries. The data collected from industry-level respondents in Ethiopia reveal variations in utilization rates and efficiency in cereal processing and edible oil processing. From a health and environmental perspective, some companies have quality control laboratories and solid waste disposal systems.
INTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY
(2023)