Quantum Physics and Artificial Intelligence in the 21st Century PDF Download

Author: Jan Krikke
Publisher: Booksmango
ISBN: 9781641532051
Category :
Languages : en
Pages : 78

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Book Description
What happens when we look at two of the most important sciences of today, quantum physics and artificial intelligence, through Chinese eyes?We see that the Chinese developed an esthetic theory about space and time centuries before Albert Einstein developed Relativity Theory. We also understand why the Chinese world view inspired quantum mechanics pioneers Niels Bohr and Werner Heisenberg, psychoanalyst Carl Jung and the leading figures of the spiritually focused New Age movement.A fresh look at China's ancient world view can even help us understand why binary code inventor Gottfried Leibniz argued that the Chinese invented the first binary code. The Chinese used different symbols - broken and unbroken lines instead of 0 and 1 - but Leibniz claimed the underlying principle was the same. Leibniz is the "spiritual" father of AI and the first to propose the "mechanization" of thought.AI and quantum mechanics are confronted with similar questions: Is nature continuous or discrete, wave or particle, analog or digital? How will AI address this dichotomy? Can the Chinese world view shed light on this unresolved mystery?In the 21st century, China is likely to make its presence felt throughout the world. Understanding its ancient world view can help us anticipate this influence and it may show us the contours of the future of AI, arguably the last "hard" science humanity will ever need."This book contains fascinating stories largely unknown, a history of Western scientific ideas, an insightful interpretation of ancient Chinese culture, and mind-expanding connections between East and West, art and technology, past and future. A unique play of creative ideas!"Bill Kelly, Lecturer in Intercultural Communication, UCLA (ret.)

Author: Michio Kaku
Publisher: OUP Oxford
ISBN: 0191647330
Category : Science
Languages : en
Pages : 416

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Book Description
New in paperback, from the bestselling author of Hyperspace, this spellbinding book brings together the cutting-edge research of today's foremost scientists to explore the science of tomorrow. Michio Kaku describes the development of computers and artificial intelligence, reveals how the decoding of the genetic structure of DNA will allow us to alter and reshape our genetic inheritance, and observes how quantum physicists are perfecting new ways of harnessing the matter and energy of the Universe. Visions is an exhilarating adventure into the future of our planet and ourselves.

Author: Guido Fano
Publisher: Springer
ISBN: 3319587323
Category : Science
Languages : en
Pages : 283

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Book Description
This book is designed to make accessible to nonspecialists the still evolving concepts of quantum mechanics and the terminology in which these are expressed. The opening chapters summarize elementary concepts of twentieth century quantum mechanics and describe the mathematical methods employed in the field, with clear explanation of, for example, Hilbert space, complex variables, complex vector spaces and Dirac notation, and the Heisenberg uncertainty principle. After detailed discussion of the Schrödinger equation, subsequent chapters focus on isotropic vectors, used to construct spinors, and on conceptual problems associated with measurement, superposition, and decoherence in quantum systems. Here, due attention is paid to Bell’s inequality and the possible existence of hidden variables. Finally, progression toward quantum computation is examined in detail: if quantum computers can be made practicable, enormous enhancements in computing power, artificial intelligence, and secure communication will result. This book will be of interest to a wide readership seeking to understand modern quantum mechanics and its potential applications.

Author: Nicole Yunger Halpern
Publisher: JHU Press
ISBN: 1421443724
Category : Science
Languages : en
Pages : 305

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Book Description
"The science-fiction genre known as steampunk juxtaposes futuristic technologies with Victorian settings. This fantasy is becoming reality at the intersection of two scientific fields-twenty-first-century quantum physics and nineteenth-century thermodynamics, or the study of energy-in a discipline known as quantum steampunk"--

Author: Michio Kaku
Publisher: Doubleday
ISBN:
Category : Computers
Languages : en
Pages : 426

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Book Description
In a spellbinding narrative that skillfully weaves together cutting-edge research among today's foremost scientists, theoretical physicist Michio Kaku--author of the bestselling book "Hyperspace--presents a bold, exhilarating adventure into the science of tomorrow. In "Visions, Dr. Kaku examines in vivid detail how the three scientific revolutions that profoundly reshaped the twentieth century--the quantum, biogenetic, and computer revolutions--will transform the way we live in the twenty-first century. The fundamental elements of matter and life--the particles of the atom and the nucleus of the cell--have now been decoded, closing one of the great chapters of scientific history. But this is just the preface to an even more far-reaching scientific revolution, as we make the transition from being passive observers of the mysteries of nature to becoming masters of nature, able to manipulate matter, life, and intelligence to remold the world around us. In the first part of "Visions, Dr. Kaku discusses the cyber future, when millions of microprocessors are scattered throughout our environment; when the iron principle that has ruled the computer industry, Moore's Law, finally collapses, forcing scientists to adopt startling new designs like DNA computers and quantum computers; and when artificial intelligence systems finally arrive. In the next section, Dr. Kaku shows how the decoding of DNA will allow us to conquer devastating genetic diseases, defeat many cancers at the molecular level, synthesize new medicines using virtual reality, grow new organs, conquer aging and reshape our genetic inheritance. Finally, he explores how quantum physicists will perfect new ways toharness the cosmic energy of the universe--from molecular machines to supermagnets that may energize a second industrial revolution, to powerful fusion engines that one day may take us to the stars. What makes Michio Kaku's vision of the future of science so compelling and authoritative is that it is based on the groundbreaking research already underway at leading laboratories around the world. Weaving interviews with over 150 scientists--several of them Nobel laureates--into a rich, inspiring narrative, Dr. Kaku reveals the growing consensus among key scientists about how science will likely evolve through the early, middle, and late years of the twenty-first century. An intimate, thrilling tour through the next century of science, "Visions is a riveting, essential map to how scientists will reshape our future.

Author: Derek Abbott
Publisher: World Scientific
ISBN: 1848162677
Category : Science
Languages : en
Pages : 469

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Book Description
A quantum origin of life? -- Quantum mechanics and emergence -- Quantum coherence and the search for the first replicator -- Ultrafast quantum dynamics in photosynthesis -- Modelling quantum decoherence in biomolecules -- Molecular evolution -- Memory depends on the cytoskeleton, but is it quantum? -- Quantum metabolism and allometric scaling relations in biology -- Spectroscopy of the genetic code -- Towards understanding the origin of genetic languages -- Can arbitrary quantum systems undergo self-replication? -- A semi-quantum version of the game of life -- Evolutionary stability in quantum games -- Quantum transmemetic intelligence -- Dreams versus reality : plenary debate session on quantum computing -- Plenary debate: quantum effects in biology : trivial or not? -- Nontrivial quantum effects in biology : a skeptical physicists' view -- That's life! : the geometry of p electron clouds.

Author: Pethuru Raj
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3111342271
Category : Computers
Languages : en
Pages : 336

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Book Description
Quantum computing has shown a potential to tackle specific types of problems, especially those involving a daunting number of variables, at an exponentially faster rate compared to classical computers. This volume focuses on quantum variants of machine learning algorithms, such as quantum neural networks, quantum reinforcement learning, quantum principal component analysis, quantum support vectors, quantum Boltzmann machines, and many more.

Author: Kristof T. Schütt
Publisher: Springer Nature
ISBN: 3030402452
Category : Science
Languages : en
Pages : 473

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Book Description
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: Claudio Conti
Publisher: Springer Nature
ISBN: 3031442261
Category : Science
Languages : en
Pages : 393

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Book Description
This book presents a new way of thinking about quantum mechanics and machine learning by merging the two. Quantum mechanics and machine learning may seem theoretically disparate, but their link becomes clear through the density matrix operator which can be readily approximated by neural network models, permitting a formulation of quantum physics in which physical observables can be computed via neural networks. As well as demonstrating the natural affinity of quantum physics and machine learning, this viewpoint opens rich possibilities in terms of computation, efficient hardware, and scalability. One can also obtain trainable models to optimize applications and fine-tune theories, such as approximation of the ground state in many body systems, and boosting quantum circuits’ performance. The book begins with the introduction of programming tools and basic concepts of machine learning, with necessary background material from quantum mechanics and quantum information also provided. This enables the basic building blocks, neural network models for vacuum states, to be introduced. The highlights that follow include: non-classical state representations, with squeezers and beam splitters used to implement the primary layers for quantum computing; boson sampling with neural network models; an overview of available quantum computing platforms, their models, and their programming; and neural network models as a variational ansatz for many-body Hamiltonian ground states with applications to Ising machines and solitons. The book emphasizes coding, with many open source examples in Python and TensorFlow, while MATLAB and Mathematica routines clarify and validate proofs. This book is essential reading for graduate students and researchers who want to develop both the requisite physics and coding knowledge to understand the rich interplay of quantum mechanics and machine learning.

Author: Andreas Miroslaus Wichert
Publisher: World Scientific
ISBN: 9811224323
Category : Computers
Languages : en
Pages : 497

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Book Description
This unique compendium presents an introduction to problem solving, information theory, statistical machine learning, stochastic methods and quantum computation. It indicates how to apply quantum computation to problem solving, machine learning and quantum-like models to decision making — the core disciplines of artificial intelligence.Most of the chapters were rewritten and extensive new materials were updated. New topics include quantum machine learning, quantum-like Bayesian networks and mind in Everett many-worlds.