1 edition of From quantum computing to intelligence found in the catalog.
From quantum computing to intelligence
Includes bibliographical references and index.
|LC Classifications||QA76.889 .Z35 2011|
|The Physical Object|
|LC Control Number||2011016751|
The landscape of quantum computing and artificial intelligence is and should remain a collaboration. Companies, including giants like Google, have been investing heavily in the realm of quantum computing and AI for years. In quantum computing, a quantum bit is a unit of quantum information—like a classical bit. Where classical bits hold a single binary value such as a 0 or 1, a qubit can hold both values at the same time. When multiple qubits act coherently, they can process multiple options simultaneously.
Quantum Computing: Progress and Prospects provides an introduction to the field, including the unique characteristics and constraints of the technology, and assesses the feasibility and implications of creating a functional quantum computer capable of addressing real-world problems. This report considers hardware and software requirements. It’s not often you can put nuclear weapons, terrorism and climate change on the same list as quantum computing, artificial intelligence and the Internet of Things, but the U.S. government.
2 P. Kaye, R. Laflamme, and M. Mosca, , An Introduction to Quantum Computing, Oxford University Press, Oxford, UK. 3 In the field of quantum computing, and throughout this report, computers that process information according to classical File Size: 5MB. Big data is one of the areas in which the marriage of artificial intelligence and quantum computers shines. Powerful quantum processors would be able to handle massive data sets, and artificial intelligence could analyze big data on a granular level. Researchers are already using artificial intelligence to analyze large data sets.
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This book traces the roots of intelligence down to quantum physics, and in particular, to quantum natural computing. The concept of intelligence is formalised in such a way that it can be referred to both human and robots, and therefore, this book is focused on a phenomenology of intelligent behaviour, in general, regardless of its biological or physical by: 5.
This book traces the roots of intelligence down to quantum physics, and in particular, to quantum natural computing. The concept of intelligence is formalised in such a way that it can be referred to both human and robots, and therefore, this book is focused on a phenomenology of intelligent behaviour, in general, regardless of its biological or physical s: 0.
Quantum Computing for Computer Scientists takes readers on a tour of the multidisciplinary field of quantum com, more than two hundred exercises with solutions, and programming Written in an accessible yet rigorous fashion, this book employs ideas and techniques familiar to every student of computer by: Let’s talk about the quantum computing books you’ve recommended, which you’ve ranked in order of difficulty.
The first one on the list is Computing with Quantum Cats, which is by the British science writer John ’s written a number of popular science books, including In Search of Schrodinger’s this is a quantum computing book with no math at all.
Keep in mind that this book was written inand that quantum computing has come a long way since it was written. Overall, I enjoyed reading this book, and I think most people would. With that in mind I give this book my highest by: 1. Quantum Computing since Democritus takes readers on a tour through some of the deepest ideas of maths, computer science and physics.
Full of insights, arguments and philosophical perspectives, the book covers an amazing array of topics. Beginning in antiquity with Democritus, it progresses through logic and set theory, computability and complexity theory, quantum computing, cryptography, the Author: Przemek Chojecki.
Quantum computing is a beautiful fusion of quantum physics and computer science, incorporating some of the most stunning ideas from twentieth-century physics into an entirely new way of thinking about computation.
In this book, Chris Bernhardt offers an introduction to quantum computing that is accessible to anyone who is comfortable with high Cited by: 3.
With its careful development of concepts and thorough explanations, the book makes quantum computing accessible to students and professionals in mathematics, computer science, and engineering. A reader with no prior knowledge of quantum physics (but with sufficient knowledge of linear algebra) will be able to gain a fluent understanding by Cited by: QUANTUM COMPUTING Jozef Gruska quantum measurement has the effect of ‘‘magnifying’’ This book is addressed to this need.
There has long been a tradition in computing to look into the natural world for inspi- Quantum computing is a very new, fascinating, promising and puzzling scientiﬁc ad. A great introduction to the exciting new world of quantum computing.
William Wheeler Learn Quantum Computing with Python and Q# demystifies quantum computing. Using Python and the new quantum programming language Q#, you’ll build your own quantum simulator and apply quantum programming techniques to real-world examples including cryptography and chemical : $ quantum computing.
Quantum mechanics is a mathematical language, much like calculus. Just as classical physics uses calculus to explain nature, quantum physics uses quantum mechanics to explain nature. Just as classical computers can be thought of in boolean algebra terms, quantum computers are reasoned about with quantum Size: KB.
This book is for researchers and students of computational intelligence as well as for engineers interested in designing quantum algorithms in the circuit representation. The content of this book is presented as a set of design methods of quantum circuits with the focus on evolutionary algorithm; however some heuristic algborithms asFile Size: KB.
In this book, Chris Bernhardt offers an introduction to quantum computing that is accessible to anyone who is comfortable with high school mathematics.
He explains qubits, entanglement, quantum teleportation, quantum algorithms, and other quantum-related.
The ability to perform mathematical operations more efficiently might improve drug discovery and artificial intelligence. While quantum computing will not Author: Jon R. Lindsay. Introduction to Quantum Information Marina von Steinkirch KSV’s book, [KSV02], address to this question in a very solid way.
First of all, in a quantum computer, it’s possible to model an arbitrary quantum system 13 The Reality of a Quantum Computer How Quantum Computers Will Revolutionise Artificial Intelligence, Machine Learning And Big Data.
We produce exabytes of data every day. That’s equivalent toLibraries of Congress or the content of 5 million laptops. Every minute of every day billion global internet users continue to feed the data banks with 9, pins on Pinterest,tweets, million Facebook likes.
An accessible introduction to an exciting new area in computation, explaining such topics as qubits, entanglement, and quantum teleportation for the general reader. Quantum computing is a beautiful fusion of quantum physics and computer science, incorporating some of the most stunning ideas from twentieth-century physics into an entirely new way of thinking about computation.
In this book. Traces the roots of intelligence down to quantum physics, and in particular, to quantum natural computing. The concept of intelligence is formalised in such a way that it can be referred to both human and robots, and therefore, this book is focused on a phenomenology of intelligent behaviour, regardless of its biological or physical origin.
Summary: Quantum computing is already being used in deep learning and promises dramatic reductions in processing time and resource utilization to train even the most complex models.
Here are a few things you need to know. So far in this series of articles on Quantum computing we showed that Quantum is in fact commercially available today and being used operationally. I would start with Quantum Computing since Democritus by Scott Aaronson.
It's a relatively light book that will teach you the basics of theoretical computer science, quantum mechanics and other topics in a fun and intuitive way, without going into.
The book discusses how quantum computing can be used in the five phases of Artificial Intelligence; namely Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI), Artificial Consciousness, Artificial Super-Intelligence (ASI) and Compassionate Artificial Super-Intelligence .Quantum computation is the eld that investigates the computational power and other prop-erties of computers based on quantum-mechanical principles.
An important objective is to nd quantum algorithms that are signi cantly faster than any classical algorithm solving the same Size: 1MB.There are three approaches to quantum computing: Quantum Annealing (QA), Adiabatic quantum computation (AQC) and Gate-based quantum computing (GQC).
Here, we will focus mostly on quantum annealing implementation of the algorithms. In the book Quantum Computing algorithms for Artificial Intelligence these approaches are discussed in details.