Quantum Computing (eBook)

The Transformative Technology of the Qubit Revolution

Brian Clegg (Autor)

eBook Download: EPUB

2021 | 1. Auflage
178 Seiten
Icon Books Ltd (Verlag)
978-1-78578-708-9 (ISBN)

Infos

The ultimate non-technical guide to the fast-developing world of quantum computing  Computer technology has improved exponentially over the last 50 years. But the headroom for bigger and better electronic solutions is running out. Our best hope is to engage the power of quantum physics.  'Quantum algorithms' had already been written long before hardware was built. These would enable, for example, a quantum computer to exponentially speed up an information search, or to crack the mathematical trick behind internet security. However, making a quantum computer is incredibly difficult. Despite hundreds of laboratories around the world working on them, we are only just seeing them come close to 'supremacy' where they can outperform a traditional computer.  In this approachable introduction, Brian Clegg explains algorithms and their quantum counterparts, explores the physical building blocks and quantum weirdness necessary to make a quantum computer, and uncovers the capabilities of the current generation of machines.

Brian Clegg is a popular science writer whose Dice World and A Brief History of Infinity were both longlisted for the Royal Society Prize for Science Books. He has written for publications including Nature, The Times and BBC Focus.

Produkt-Details

• Erscheint lt. Verlag: 6.5.2021
• Reihe/Serie: Hot Science
• Reihe/Serie: Hot Science
• Reihe/Serie: Hot Science
• Verlagsort: London
• Sprache: englisch
• Themenwelt: Sachbuch/Ratgeber ► Natur / Technik
• Themenwelt: Naturwissenschaften ► Physik / Astronomie ► Quantenphysik
• Themenwelt: Naturwissenschaften ► Physik / Astronomie ► Theoretische Physik
• Schlagworte: Applied • Blockchain • blockchain, applied, mathematics, practical, for everyone, QUANTUM COMPUTING, COMPUTER SCIENCE • Computer Science • for everyone • Mathematics • Practical • Quantum Computing
• ISBN-10: 1-78578-708-X / 178578708X
• ISBN-13: 978-1-78578-708-9 / 9781785787089