Bitcoin is starting to come into its own as a digital currency, but the blockchain technology behind it could prove to be much more significant. This book takes you beyond the currency ("Blockchain 1.0") and smart contracts ("Blockchain 2.0") to demonstrate how the blockchain is in position to become the fifth disruptive computing paradigm after mainframes, PCs, the Internet, and mobile/social networking.
Author Melanie Swan, Founder of the Institute for Blockchain Studies, explains that the blockchain is essentially a public ledger with potential as a worldwide, decentralized record for the registration, inventory, and transfer of all assets—not just finances, but property and intangible assets such as votes, software, health data, and ideas.
Topics include:
<ul>
<li>Concepts, features, and functionality of Bitcoin and the blockchain</li>
<li>Using the blockchain for automated tracking of all digital endeavors</li>
<li>Enabling censorship?resistant organizational models</li>
<li>Creating a decentralized digital repository to verify identity</li>
<li>Possibility of cheaper, more efficient services traditionally provided by nations</li>
<li>Blockchain for science: making better use of the data-mining network</li>
<li>Personal health record storage, including access to one’s own genomic data</li>
<li>Open access academic publishing on the blockchain</li>
</ul>
This book is part of an ongoing O’Reilly series. Mastering Bitcoin: Unlocking Digital Crypto-Currencies introduces Bitcoin and describes the technology behind Bitcoin and the blockchain. Blockchain: Blueprint for a New Economy considers theoretical, philosophical, and societal impact of cryptocurrencies and blockchain technologies.

Blockchain: Blueprint for a New Economy

Business & Money

Swan, Melanie

Economics

O'Reilly Media

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 Computing for the Brain (Between Science and Economics, 3)

Computers & Technology

Witte, Frank

Santos, Renato P Dos

Lebedev, Mikhail A

Computer Science

World Scientific Publishing Europe Ltd

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Books by Swan, Melanie