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Author : Bobbi DePorter
Publisher : Random House of Canada
Page : 355 pages
File Size : 42,6 Mb
Release : 1992
Category : Education
ISBN : 0440504279
Identifies different learning styles and offers strategies for increasing learning potential and improving memory skills
Author : John Parks Le Tellier
Publisher : Corwin Press
Page : 233 pages
File Size : 42,6 Mb
Release : 2006-10-27
Category : Education
ISBN : 9781483362243
Using evidence-based strategies, this inspiring handbook provides principals and teachers with a catalog of practiced "moves," or actions that upgrade performance, create durable motivation, and renew energy levels.
Author : Conrad P. Pritscher
Publisher : BRILL
Page : 224 pages
File Size : 42,8 Mb
Release : 2021-11-08
Category : Philosophy
ISBN : 9789004494077
This book shows quantum learning is the resource that unites parts into wholes and then wholes into continually larger wholes. Just as quantum computers can regard sub-atomic particles as a wave and as particles, quantum learning can understand learners as simultaneously nondual (whole) and dual (part). The study includes a reconsideration of clarity in expression and thought
Author : Peter Wittek
Publisher : Academic Press
Page : 176 pages
File Size : 53,5 Mb
Release : 2014-09-10
Category : Computers
ISBN : 9780128010990
Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the applied research on machine learning. Paring down the complexity of the disciplines involved, it focuses on providing a synthesis that explains the most important machine learning algorithms in a quantum framework. Theoretical advances in quantum computing are hard to follow for computer scientists, and sometimes even for researchers involved in the field. The lack of a step-by-step guide hampers the broader understanding of this emergent interdisciplinary body of research. Quantum Machine Learning sets the scene for a deeper understanding of the subject for readers of different backgrounds. The author has carefully constructed a clear comparison of classical learning algorithms and their quantum counterparts, thus making differences in computational complexity and learning performance apparent. This book synthesizes of a broad array of research into a manageable and concise presentation, with practical examples and applications. Bridges the gap between abstract developments in quantum computing with the applied research on machine learning Provides the theoretical minimum of machine learning, quantum mechanics, and quantum computing Gives step-by-step guidance to a broader understanding of this emergent interdisciplinary body of research
Author : Conrad P. Pritscher
Publisher : Rodopi
Page : 220 pages
File Size : 41,9 Mb
Release : 2001
Category : Education
ISBN : 9042013877
This book shows quantum learning is the resource that unites parts into wholes and then wholes into continually larger wholes. Just as quantum computers can regard sub-atomic particles as a wave and as particles, quantum learning can understand learners as simultaneously nondual (whole) and dual (part). The study includes a reconsideration of clarity in expression and thought
Author : Maria Schuld,Francesco Petruccione
Publisher : Springer
Page : 293 pages
File Size : 47,5 Mb
Release : 2018-08-30
Category : Science
ISBN : 9783319964249
Quantum machine learning investigates how quantum computers can be used for data-driven prediction and decision making. The books summarises and conceptualises ideas of this relatively young discipline for an audience of computer scientists and physicists from a graduate level upwards. It aims at providing a starting point for those new to the field, showcasing a toy example of a quantum machine learning algorithm and providing a detailed introduction of the two parent disciplines. For more advanced readers, the book discusses topics such as data encoding into quantum states, quantum algorithms and routines for inference and optimisation, as well as the construction and analysis of genuine ``quantum learning models''. A special focus lies on supervised learning, and applications for near-term quantum devices.
Author : Maria Schuld,Francesco Petruccione
Publisher : Springer Nature
Page : 321 pages
File Size : 45,7 Mb
Release : 2021-10-17
Category : Science
ISBN : 9783030830984
This book offers an introduction into quantum machine learning research, covering approaches that range from "near-term" to fault-tolerant quantum machine learning algorithms, and from theoretical to practical techniques that help us understand how quantum computers can learn from data. Among the topics discussed are parameterized quantum circuits, hybrid optimization, data encoding, quantum feature maps and kernel methods, quantum learning theory, as well as quantum neural networks. The book aims at an audience of computer scientists and physicists at the graduate level onwards. The second edition extends the material beyond supervised learning and puts a special focus on the developments in near-term quantum machine learning seen over the past few years.
Author : Barbara K. Given,Bobbi DePorter,Dee Conradie
Publisher : Unknown
Page : 128 pages
File Size : 42,8 Mb
Release : 2015-01-20
Category : Electronic
ISBN : 0986300500
Author : Khang, Alex
Publisher : IGI Global
Page : 510 pages
File Size : 43,8 Mb
Release : 2024-01-31
Category : Science
ISBN : 9798369311691
In a world driven by technology and data, classical computing faces limitations in tackling complex challenges like climate modeling and financial risk assessment. These barriers impede our aspirations to revolutionize industries and solve intricate real-world problems. To bridge this gap, we must embrace quantum computing. Edited by Alex Khang PH, Principles and Applications of Quantum Computing is a transformative solution to this challenge. It delves into the interdisciplinary realms of computer science, physics, and mathematics, unveiling the incredible potential of quantum computing, which outperforms supercomputers by 158 million times. This technology, rooted in quantum mechanics, offers solutions to global problems and opens new frontiers in AI, cybersecurity, finance, drug development, and more. By engaging with this book, you become a pioneer in the quantum revolution, contributing to reshaping the limits of what's achievable in our digital age.
Author : Daniel, A.,Arvindhan, M.,Bellam, Kiranmai,Krishnaraj, N.
Publisher : IGI Global
Page : 251 pages
File Size : 49,8 Mb
Release : 2023-09-12
Category : Mathematics
ISBN : 9781668475379
In the swiftly evolving realm of technology, the challenge of classical computing's constraints in handling intricate problems has become pronounced. While classical computers excel in many areas, they struggle with complex issues in cryptography, optimization, and molecular simulation. Addressing these escalating challenges requires a disruptive solution to push the boundaries of computation and innovation. Principles and Applications of Quantum Computing Using Essential Math, authored by A. Daniel, M. Arvindhan, Kiranmai Bellam, and N. Krishnaraj. This guide pioneers the transformative potential of quantum computing by seamlessly blending rigorous mathematics with quantum theory. It equips scholars, researchers, and aspiring technologists with insights to grasp and harness quantum computing's capabilities. By delving into quantum gates, algorithms, and error correction techniques, the book demystifies quantum computing, inviting exploration of quantum machine learning, cryptography, and the dynamic interplay between classical and quantum computing. As the quantum landscape expands, this book acts as a vital companion, navigating readers through the converging realms of industry, academia, and innovation. Principles and Applications of Quantum Computing Using Essential Math arrives as a timely answer to the limitations of classical computing, providing scholars with an essential roadmap to navigate the quantum technology landscape. With its clear explanations, practical applications, and forward-looking perspectives, this book serves as an indispensable tool for unraveling quantum computing's mysteries and driving innovation into uncharted domains.
Author : Kristof T. Schütt,Stefan Chmiela,O. Anatole von Lilienfeld,Alexandre Tkatchenko,Koji Tsuda,Klaus-Robert Müller
Publisher : Springer Nature
Page : 473 pages
File Size : 54,6 Mb
Release : 2020-06-03
Category : Science
ISBN : 9783030402457
Designing molecules and materials with desired properties is an important prerequisite for advancing technology in our modern societies. This requires both the ability to calculate accurate microscopic properties, such as energies, forces and electrostatic multipoles of specific configurations, as well as efficient sampling of potential energy surfaces to obtain corresponding macroscopic properties. Tools that can provide this are accurate first-principles calculations rooted in quantum mechanics, and statistical mechanics, respectively. Unfortunately, they come at a high computational cost that prohibits calculations for large systems and long time-scales, thus presenting a severe bottleneck both for searching the vast chemical compound space and the stupendously many dynamical configurations that a molecule can assume. To overcome this challenge, recently there have been increased efforts to accelerate quantum simulations with machine learning (ML). This emerging interdisciplinary community encompasses chemists, material scientists, physicists, mathematicians and computer scientists, joining forces to contribute to the exciting hot topic of progressing machine learning and AI for molecules and materials. The book that has emerged from a series of workshops provides a snapshot of this rapidly developing field. It contains tutorial material explaining the relevant foundations needed in chemistry, physics as well as machine learning to give an easy starting point for interested readers. In addition, a number of research papers defining the current state-of-the-art are included. The book has five parts (Fundamentals, Incorporating Prior Knowledge, Deep Learning of Atomistic Representations, Atomistic Simulations and Discovery and Design), each prefaced by editorial commentary that puts the respective parts into a broader scientific context.
Author : Narantsetseg Dorjgotov
Publisher : Springer Nature
Page : 232 pages
File Size : 45,9 Mb
Release : 2023-02-10
Category : Education
ISBN : 9782494069411
This is an open access book. The Mongolian National University of Education has successfully organized the "Quality Assurance in higher education" International Conference for 16 consecutive years since 2016. The scope of this conference grows year to year, increasing in quality and participants. Furthermore, in 2018, the conference website was launched (www.qahe.msue.edu.mn) and started partnering with sponsor organizations. A total of 33 papers will be discussed at the plenary and three sessions of this conference named "Education Quality Policy and Implementation," "Innovation of Teaching and Learning Technology and Contemporary Trends," and "Teaching and Learning Technology Implementations and Outcomes." There are five poster presentations. The research volume on high education quality and its relevant disciplines has increased. We hope that the conference will contribute experiences and knowledge about policymaking and research worldwide.
Author : Santanu Ganguly
Publisher : Apress
Page : 551 pages
File Size : 48,8 Mb
Release : 2021-08-11
Category : Computers
ISBN : 1484270975
Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and research. The first three chapters offer insights into the combination of the science of quantum mechanics and the techniques of machine learning, where concepts of classical information technology meet the power of physics. Subsequent chapters follow a systematic deep dive into various quantum machine learning algorithms, quantum optimization, applications of advanced QML algorithms (quantum k-means, quantum k-medians, quantum neural networks, etc.), qubit state preparation for specific QML algorithms, inference, polynomial Hamiltonian simulation, and more, finishing with advanced and up-to-date research areas such as quantum walks, QML via Tensor Networks, and QBoost. Hands-on exercises from open source libraries regularly used today in industry and research are included, such as Qiskit, Rigetti's Forest, D-Wave's dOcean, Google's Cirq and brand new TensorFlow Quantum, and Xanadu's PennyLane, accompanied by guided implementation instructions. Wherever applicable, the book also shares various options of accessing quantum computing and machine learning ecosystems as may be relevant to specific algorithms. The book offers a hands-on approach to the field of QML using updated libraries and algorithms in this emerging field. You will benefit from the concrete examples and understanding of tools and concepts for building intelligent systems boosted by the quantum computing ecosystem. This work leverages the author’s active research in the field and is accompanied by a constantly updated website for the book which provides all of the code examples. What You will Learn Understand and explore quantum computing and quantum machine learning, and their application in science and industry Explore various data training models utilizing quantum machine learning algorithms and Python libraries Get hands-on and familiar with applied quantum computing, including freely available cloud-based access Be familiar with techniques for training and scaling quantum neural networks Gain insight into the application of practical code examples without needing to acquire excessive machine learning theory or take a quantum mechanics deep dive Who This Book Is For Data scientists, machine learning professionals, and researchers
Author : Naufal Ishartono,Yasir Sidiq
Publisher : Springer Nature
Page : 379 pages
File Size : 43,7 Mb
Release : 2023-02-10
Category : Education
ISBN : 9782494069718
This is an open access book. Education is an effort to educate people, through education the quality of human life becomes better, and it is captured and realized by all Muhammadiyah universities in Indonesia, especially from the Faculty of Teacher Training and Education Science. The problem that occurs is the need for a lot of innovation related to the implementation of learning in the classroom so that the learning process becomes more enjoyable. Thus, students will be more eager to learn and their academic achievement will be better, which of course has implications for the quality of education which is also better. Therefore, the Association of Muhammadiyah Higher Education Teaching Institutions (ALPTK-PTM) in collaboration with Universitas Muhammadiyah Sorong (UNAMIN) dan Universitas Pendidikan Muhammadiyah Sorong (UNIMUDA) as the local committee initiated the holding of The 7th Progressive and Fun Education International Conference (The 7th Profunedu) which was held on 8-9 September 2022. The conference invited eight invited speakers from international speakers and Indonesian speakers. In addition, the conference was also attended by 115 participants and presenters with 107 papers listed. The 7th Profunedu this time collaborated with the Atlantis Press in the paper publication process. From 107 papers listed, 30 papers were selected to be published by Atlantis Press as publishing partners in this conference.
Author : Recky Harold Elby Sendouw,Theodorus Pangalila,Sjamsi Pasandaran,Vivi P. Rantung
Publisher : Springer Nature
Page : 2046 pages
File Size : 43,8 Mb
Release : 2023-01-24
Category : Political Science
ISBN : 9782494069350
This is an open access book. The Unima International Conference on Social Sciences and Humanity (UNICSSH) 2022 was conducted on October, 11th – 13th 2022, at The Grand Kawanua International City, Manado, North Sulawesi, Indonesia. In 2022, Universitas Negeri Manado will host the Indonesian National Education Convention (KONASPI) X. Konaspi is a routine activity of the PPTKN which is held once every four years. The fourth industrial revolution (4.0) is marked by technological advances and supported by artificial intelligence that creates opportunities and challenges for the education system. University and vocational school graduates are facing a world transformed by technology which in turn is transforming the workplace from task-based to human-centered characteristics. Certain skills such as critical thinking, emotional intelligence, problem-solving, cognitive flexibility, and knowledge production are required. To answer this demand, the education system must put revolutionary innovation on its agenda. Scholars, researchers, and practitioners are invited to share ideas, research results, and best practices about education, science, and technology now and in the future at an international conference held by Universitas Negeri Manado as part of the Indonesian National Education Convention (KONASPI). As part of KONASPI X activities, Universitas Negeri Manado is holding the 2022 International Conference on Education, Social Science, and Humanities (ICESSHum). The topics in this international conference are Education, Law, Politics and Social Sciences, Economics, Public Administration, and Humanities. Through these themes, it is expected to involve many professionals who have indirect roles in related fields. To enrich this event, the committee invites all national and international participants (including academics, researchers, professionals, and other relevant stakeholders) to send research papers or review papers to be presented at the conference.