Quantum Computing For The Brain
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Quantum Computing For The Brain
Quantum Computing for the Brain argues that the brain is the killer application for quantum computing. No other system is as complex, as multidimensional in time and space, as dynamic, as less well-understood, as of peak interest, and as in need of three-dimensional modeling as it functions in real-life, as the brain.Quantum computing has emerged as a platform suited to contemporary data processing needs, surpassing classical computing and supercomputing. This book shows how quantum computing's increased capacity to model classical data with quantum states and the ability to run more complex permutations of problems can be employed in neuroscience applications such as neural signaling and synaptic integration. State-of-the-art methods are discussed such as quantum machine learning, tensor networks, Born machines, quantum kernel learning, wavelet transforms, Rydberg atom arrays, ion traps, boson sampling, graph-theoretic models, quantum optical machine learning, neuromorphic architectures, spiking neural networks, quantum teleportation, and quantum walks.Quantum Computing for the Brain is a comprehensive one-stop resource for an improved understanding of the converging research frontiers of foundational physics, information theory, and neuroscience in the context of quantum computing.
Quantum Neural Computation
Author: Vladimir G. Ivancevic
language: en
Publisher: Springer Science & Business Media
Release Date: 2010-01-18
Quantum Neural Computation is a graduate–level monographic textbook. It presents a comprehensive introduction, both non-technical and technical, into modern quantum neural computation, the science behind the fiction movie Stealth. Classical computing systems perform classical computations (i.e., Boolean operations, such as AND, OR, NOT gates) using devices that can be described classically (e.g., MOSFETs). On the other hand, quantum computing systems perform classical computations using quantum devices (quantum dots), that is devices that can be described only using quantum mechanics. Any information transfer between such computing systems involves a state measurement. This book describes this information transfer at the edge of classical and quantum chaos and turbulence, where mysterious quantum-mechanical linearity meets even more mysterious brain’s nonlinear complexity, in order to perform a super–high–speed and error–free computations. This monograph describes a crossroad between quantum field theory, brain science and computational intelligence.
Quantum Computers, AI and Humans
The human brain is one of the most complex machines we know of. In this book, we will discover how the brain developed and what its functions are. We will find out the parts that make it up and how it controls our everyday lives. The complexity of the human brain has always challenged scientists and computer programmers the world over. They are trying to understand it better by creating something that will be intelligent with the use of non-biological materials-an artificial intelligence. We will look at its uses and how it compares to the human brain. The concept of quantum computers has been around for quite a while now and they are slowly becoming a reality. These extremely powerful machines use principles at the subatomic level to make calculations at astonishing speeds. Some have compared the brain to a quantum computer. In this book, we will find out how they are alike and if the brain truly is a quantum computer. What You'll learn: - Humans and Our Brain - The Development of Humans - The Human Brain - Major Parts of the Human Brain - Artificial Intelligence - Types of AI - The Uses of AI - The Future of AI - Humans and AI - Energy Efficiency - Quantum Computers - Quantum Computers and the Human Brain - What the Future Holds Subjects include: quantum computer, quantum computing, quantum computation, human brain, human evolution, human evolution and culture, artificial intelligence, business and economics, manufacturing processes, construction management, cryptography, machine learning, business and finance.