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Achieving Provably Effective Quantum Algorithms for Extensive Machine Learning Models

Achieving Provably Effective Quantum Algorithms for Extensiv...

Computational Intelligence for Security, Communication and Sustainable Development (CISCSD), International Conference on

作者： N. Satheesh Rashmi Dixit S. Venkataramana S. Anthoniraj Bala Gurivi Reddy Vemi Reddy Jitendra Singh Department of Artificial Intelligence Jain (Deemed-to-be University) Bangalore Karnataka India Department of Computer Science and Engineering Walchand Institute ofTechnology Solapur Maharashtra India Department of Information Technology S.R.K.R.Engineering College Bhimavaram AndhraPradesh India School of Computer Science and Engineering Jain (Deemed-to-be University) Ramanagara India Department of Physics New Middle East International School Riyadh Saudi Arabia Department of Computer Science and Engineering Faculty of Engineering and Technology SRM Institute of Science and Technology Delhi - NCR Ghaziabad Uttar Pradesh India

ISBN: (数字)9798350365405

ISBN: (纸本)9798350365412

Massive machine learning models are cutting edge artificial intelligence technologies, but they have significant computational costs, power requirements, and tuning time constraints. We demonstrate in this work that verifiable well-organized solutions for nonspecific (stochastic) ramp succession procedures may be possible with fault-tolerant quantum computing. We demonstrate that comparable procedures are effective for (stochastic) ramp succession, the main machine learning procedure, based on previous efficient quantum algorithms for dissipative differential equations. We yardstick pictures of large machine learning models with between 7 million and 103 million restrictions in real-world scenarios. It has been observed that in the scarce keeping fit setting, a substantial enrichment can occur during the initial learning phase following model pruning. This finding provides impetus for a sparse parameter download and re-upload strategy. It is evident from our work that most large-scale, state-of-the-art machine-learning problems may benefit from the use of fault-tolerant quantum algorithms.

关键词： Fault tolerance Machine learning algorithms Quantum algorithm Computational modeling Fault tolerant systems Stochastic processes Machine learning Mathematical models Time factors Tuning

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Enhancement and anisotropy of electron Landé factor due to spin-orbit interaction in semiconductor nanowires

arXiv

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arXiv 2023年

作者： Czarnecki, Julian Bertoni, Andrea Goldoni, Guido Wójcik, Pawel AGH University of Krakow Faculty of Physics and Applied Computer Science al. A. Mickiewicza 30 Krakow30-059 Poland CNR-NANO S3 Istituto Nanoscienze Via Campi 213/a Modena41125 Italy Department of Physics Informatics and Mathematics University of Modena and Reggio Emilia via Campi 213/a Modena41125 Italy

We investigate the effective Landé factor in semiconductor nanowires with strong Rashba spin-orbit coupling. Using the k · p theory and the envelope function approach we derive a conduction band Hamiltonian where g∗ is explicitly related to the spin-orbit coupling contants αR. Our model includes orbital effects from the Rashba spin-orbit term, leading to a significant enhancement of the effective Landé factor which is naturally anisotropic. For nanowires based on the low-gap, high spin-orbit coupled material InSb, we investigate the anisotropy of the effective Landé factor with respect to the magnetic field direction, exposing a twofold symmetry for the bottom gate architecture. The anisotropy results from the competition between the localization of the envelope function and the spin polarization of the electronic state, both determined by the magnetic field direction. Copyright © 2023, The Authors. All rights reserved.

关键词： Anisotropy

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A new Wilson line-based classical action for gluodynamics

arXiv

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arXiv 2021年

作者： Kakkad, Hiren Kotko, Piotr Stasto, Anna AGH University Of Science and Technology Faculty of Physics and Applied Computer Science Mickiewicza 30 Krakow30-059 Poland The Pennsylvania State University Physics Department 104 Davey Lab University ParkPA16802 United States

We develop a new classical action that in addition to MHV vertices contains also NkMHV vertices, where 1 ≤ k ≤ n − 4 with n the number of external legs. The lowest order vertex is the four-point MHV vertex – there is no three point vertex and thus the amplitude calculation involves fewer vertices than in the CSW method and, obviously, considerably fewer than in the standard Yang-Mills action. The action is obtained by a canonical transformation of the Yang-Mills action in the light-cone gauge, where the field transformations are based on the Wilson line functionals. Copyright © 2021, The Authors. All rights reserved.

关键词： Quantum theory

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Deep learning-based segmentation of breast masses using convolutional neural networks 12

Deep learning-based segmentation of breast masses using conv...

引用

12th International Conference on Mathematical Modeling in Physical sciences, IC-MSQUARE 2023

作者： Anghelache Nastase, I.-N. Moldovanu, S. Moraru, L. The Modelling & Simulation Laboratory Dunarea de Jos University of Galati 47 Domneasca Street Galati800008 Romania Emil Racovita Theoretical Highschool 12-14 Regiment 11 Siret Street Galati800332 Romania Department of Computer Science and Information Technology Faculty of Automation Computers Electrical Engineering and Electronics Dunarea de Jos University of Galati 47 Domneasca Street Galati800008 Romania Department of Chemistry Physics & Environment Faculty of Sciences and Environment Dunarea de Jos University of Galati 47 Domneasca Street Galati800008 Romania

Automatic breast tumor segmentation based on convolutional neural networks (CNNs) is significant for the diagnosis and monitoring of breast cancers. CNNs have become an important method for early diagnosis of breast cancer and, thus, can help decrease the mortality rate. In order to assist medical professionals in breast cancer investigation a computerized system based on two encoder-decoder architectures for breast tumor segmentation has been developed. Two pre-trained DeepLabV3+ and U-Net models are proposed. The encoder generates a high-dimensional feature vector while the decoder analyses the low-resolution feature vector provided by the encoder and generates a semantic segmentation mask. Semantic segmentation based on deep learning techniques can overcome the limitations of traditional algorithms. To assess the efficiency of breast ultrasound image segmentation, we compare the segmentation results provided by CNNs against the Local Graph Cut technique (a semi-automatic segmentation method) in the Image Segmenter application. The output segmentation results have been evaluated by using the Dice similarity coefficient that compares the ground truth images provided by the specialists against the predicted segmentation results provided by the CNNs and Local Graph Cut algorithm. The proposed approach is validated on 780 breast ultrasonographic images of the BUSI public database of which 437 are benign and 210 are malignant. The BUSI database provides classification (benign or malignant) labels for ground truth in binary mask images. The average Dice scores computed between the ground truth images against CNNs were as follows: 0.9360 (malignant) and 0.9325 (benign) for the DeepLabV3+ architecture and of 0.6251 (malignant) and 0.6252 (benign) for the U-Net, respectively. When the segmentation results provided by CNNs were compared with the Local Graph Cut segmented images, the Dice scores were 0.9377 (malignant) and 0.9204 (benign) for DeepLabV3+ architecture and 0.61

关键词： Graphic methods

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Microstructure of Rapidly Solidified Al45cr7 and Al45v7 Intermetallic Alloys for Catalytic Applications

SSRN

引用

SSRN 2022年

作者： Zięba, Amelia Stan-Glowińska, Katarzyna Rogal, Lukasz Czaja, Pawel Przewoźnik, Janusz Chulist, Robert Duraczyńska, Dorota Lityńska-Dobrzyńska, Lidia Reymonta 25 Krakow30-059 Poland AGH University of Science and Technology Faculty of Physics and Applied Computer Science Department of Solid State Physics Al. Mickiewicza 30 Krakow30-059 Poland The Jerzy Haber Institute of Catalysis and Surface Chemistry Polish Academy of Sciences Niezapominajek 8 Krakow30-239 Poland

Alloys with the nominal compositions of Al-13.5 at.% Cr and Al-13.5 at.% V, corresponding to the Al45Cr7 and Al45V7 intermetallic compounds were produced by the melt spinning technique. The obtained ribbons in the form of fragmented brittle flakes were 20-70 µm in thickness and about 5 mm in width. The microstructure and phase composition of the as-spun and heat-treated (100 hours at 600 °C) ribbons were examined by X-ray diffraction, scanning and transmission electron microscopy. In the as-spun state, both ribbons showed a multiphase microstructure. In addition to the Al45Cr7 phase in the Al-Cr alloy and the Al3 V phase in the Al-V alloy, they contained α(Al) solid solution and an icosahedral quasicrystal. The heat-treated alloys were almost single-phase and contained a stable monoclinic phases: Al45Cr7 or Al45V7. The as-spun and heat-treated alloys were used as catalysts for the phenylacetylene hydrogenation reaction. Prior to the catalytic tests, the ribbons were pulverized and sieved to select the powder fraction below 32 µm. All tested materials ensured high activity, above 80% and a high activity rate. The homogenized powders showed slightly better performance than those in the as-spun state. The obtained results open a new area of intermetallic catalysts previously not considered in the case of hydrogenation reactions. © 2022, The Authors. All rights reserved.

关键词： Aluminum alloys

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Inverse Ising techniques to infer underlying mechanisms from data

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Chinese physics B 2020年第8期29卷 1-23页

作者： Hong-Li Zeng Erik Aurell School of Science New Energy Technology Engineering Laboratory of Jiangsu ProvinceNanjing University of Posts and TelecommunicationsNanjing 210023China Nordita Royal Institute of Technologyand Stockholm UniversitySE-10691 StockholmSweden KTH-Royal Institute of Technology AlbaNova University CenterSE-10691 StockholmSweden Faculty of Physics Astronomy and Applied Computer ScienceJagiellonian University30-348 KrakowPoland

As a problem in data science the inverse Ising(or Potts)problem is to infer the parameters of a Gibbs-Boltzmann distributions of an Ising(or Potts)model from samples drawn from that *** algorithmic and computational interest stems from the fact that this inference task cannot be carried out efficiently by the maximum likelihood criterion,since the normalizing constant of the distribution(the partition function)cannot be calculated exactly and *** practical interest on the other hand flows from several outstanding applications,of which the most well known has been predicting spatial contacts in protein structures from tables of homologous protein *** applications to date have been to data that has been produced by a dynamical process which,as far as it is known,cannot be expected to satisfy detailed *** is therefore no a priori reason to expect the distribution to be of the Gibbs-Boltzmann type,and no a priori reason to expect that inverse Ising(or Potts)techniques should yield useful *** this review we discuss two types of problems where progress nevertheless can be *** find that depending on model parameters there are phases where,in fact,the distribution is close to Gibbs-Boltzmann distribution,a non-equilibrium nature of the under-lying dynamics *** also discuss the relation between inferred Ising model parameters and parameters of the underlying dynamics.

关键词： inverse Ising problem kinetic Ising model statistical genetics fitness reconstruction

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Local-photon model of the momentum of light

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Physical Review A 2025年第2期111卷 023703-023703页

作者： Gabriel Waite Daniel Hodgson Ben Lang Varghese Alapatt Almut Beige The School of Physics and Astronomy University of Leeds Leeds LS2 9JT United Kingdom Centre for Quantum Computation and Communication Technology and Centre for Quantum Software and Information School of Computer Science Faculty of Engineering and Information TechnologyUniversity of Technology Sydney NSW 2007 Australia The School of Physics and Astronomy University of Nottingham Nottingham NG7 2RD United Kingdom Instituto de Ciencia Molecular (ICMol) Universidad de Valencia E-46980 Paterna Valencia Spain

Recently we introduced a local photon approach for modeling the quantized electromagnetic field in position space. Using this approach, we define the momentum of light in this paper as in quantum mechanics as the generator for spatial translation. Afterward, we analyze the momentum dynamics of photonic wave packets which transition from air into a denser dielectric medium. Our analysis shines new light onto the Abraham-Minkowski controversy, which highlights the intricacies involved in the characterization of the momentum of the electromagnetic field. Although our results align with Minkowski's theory and with the definition of the canonical momentum of light in quantum electrodynamics, there are also some crucial differences.

关键词： Momentum

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CPW-fed Monopole Antenna with 3.5/5.5 GHz Band-Notched Characteristics for Ultrawideband Applications

CPW-fed Monopole Antenna with 3.5/5.5 GHz Band-Notched Chara...

引用

International Symposium on Antennas and Propagation (ISAP)

作者： Nipont Tangthong Pichet Moeikham Patchadaporn Sangpet Atthakorn Jamnien Prayoot Akkaraekthalin Nonchanutt Chudpooti Deparment of Electronics and Telecommunication Engineering Faculty of Engineering Rajamangala University of Technology Thanyaburi Pathum Thani Thailand Deparment of Electrical Engineering Faculty of Engineering Rajamangala University of Technology Lanna Chiang Rai Chiang Rai Thailand KMUTNB Techno Park King Mongkut’s University of Technology North Bangkok Bangkok Thailand Deparment of Electrical and Computer Engineering Faculty of Engineering King Mongkut’s University of Technology North Bangkok Bangkok Thailand Deparment of Industrial Physics and Medical Instrumentation Faculty of Applied Science King Mongkut’s University of Technology North Bangkok Bangkok Thailand

ISBN: (数字)9798350364774

ISBN: (纸本)9798350364781

This research presents a printed ultrawideband monopole antenna designed with notches at the 3.5 GHz and 5.5 GHz frequency bands. The antenna incorporates a 50-Ω Coplanar Waveguide (CPW) feed, featuring a gradual central line and ground plane. To notch unwanted frequencies at 3.5 GHz and 5.5 GHz, an inverted triangle slot and an inverted U-shaped slot are integrated into the monopole patch. Operating across a frequency range of 2.62-12 GHz, the proposed antenna supports the UWB system while excluding the 3.22-3.62 GHz and 5.14-5.62 GHz bands. The lengths of the inverted triangle and U-shaped slots correspond to quarter and half wavelengths at 3.5 GHz and 5.5 GHz, respectively. The prototype has been fully developed and tested, showing its effectiveness in reducing Electromagnetic Interference (EMI) in WLAN/WiMAX bands.

关键词： Antenna measurements Wireless communication Slot antennas Electromagnetic interference Prototypes Ultra wideband antennas Frequency measurement Coplanar waveguides Planar waveguides Antenna radiation patterns

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Pulsar timing array observations as possible hints for nonsingular cosmology

arXiv

引用

arXiv 2023年

作者： Zhu, Mian Ye, Gen Cai, Yong School of Physics and Microelectronics Zhengzhou University Henan Zhengzhou450001 China Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University Krakow30-348 Poland Institute Lorentz Leiden University PO Box 9506 Leiden2300 RA Netherlands

Recent pulsar timing array (PTA) experiments have reported strong evidence of the stochastic gravitational wave background (SGWB). If interpreted as primordial gravitational waves (GWs), the signal favors a strongly blue-tilted spectrum. Consequently, the nonsingular cosmology, which is able to predict a strongly blue-tilted GW spectrum with nT 2 on certain scales, offers a potential explanation for the observed SGWB signal. In this paper, we present a Genesis-inflation model capable of explaining the SGWB signal observed by the PTA collaborations while also overcoming the initial singularity problem associated with the inflationary cosmology. Furthermore, our model predicts distinctive features in the SGWB spectrum, which might be examined by forthcoming space-based gravitational wave experiments. © 2023, CC BY.

关键词： Gravity waves

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Modeling the Diffusion Coefficient of Charge Carriers in Batteries Using the Randles-Sevcik Equation

SSRN

引用

SSRN 2024年

作者： Abd El-Latif, Eman I. Alahmadi, M. Kebede, Mesfin Abayneh Phasha, Maje Hameed, Talaat A. Khairy, Yasmin Ali, H. Elhosiny Sheha, Eslam Department of Mathematics and Computer Science Faculty of Science Benha University 13518 Egypt Chemistry Department College of Science Taibah University P.O. Box 344 Madinah Saudi Arabia Institute for Nanotechnology and Water Sustainability College of Science Engineering and Technology University of South Africa Johannesburg1710 South Africa Mintek Advanced Materials Division Randburg Johannesburg South Africa Solid-State Physics Department Physics Research Institute National Research Centre 33 ElBohouth St. Dokki Giza12622 Egypt King Khalid University P.O. Box 9004 Abha61413 Saudi Arabia Department of Physics Faculty of Science King Khalid University P.O. Box 9004 Abha61413 Saudi Arabia Physics Department Faculty of Science Benha University Benha13518 Egypt

Nowadays, the battery is the primary power source for electrifying the transport sector transition and bridging the gap in renewable energy intermittency. Furthermore, optimizing the electrochemical performance of the battery prevents its chemical aging, which can be verified by tuning the kinetic and diffusion parameters of the electrodes and electrolyte/electrode interface. This paper focuses on predicting the diffusion parameters of metal batteries that are currently not experimentally realized in laboratory conditions. Firstly, we used diffusion equations to analyze the relation between the diffusion coefficient and Warburg factor for the monovalent and multivalent batteries to predict the theoretical values of the diffusion coefficient at different temperatures. Secondly, the relationship between the charge transfer resistance and the Warburg factor has been analyzed to predict the speculative behavior and calculate the fitting parameters. Finally, the modelled Randles-Sevcik equation indicated the relationship between peak current and the scan rate at different diffusion coefficients. Compared to the existing algorithms available for battery modeling, this research is the first of its kind. © 2024, The Authors. All rights reserved.

关键词： Metal ions

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