04792nam a22005655i 4500 978-1-4842-9991-3 DE-He213 20251030110817.0 cr nn 008mamaa 231218s2024 xxu| s |||| 0|eng d 9781484299913 978-1-4842-9991-3 10.1007/978-1-4842-9991-3 doi QA76.76.C65 UMC bicssc COM010000 bisacsh UMC thema Silva, Vladimir. author. aut http://id.loc.gov/vocabulary/relators/aut 66171 Quantum Computing by Practice [electronic resource] : Python Programming in the Cloud with Qiskit and IBM-Q / by Vladimir Silva. 2nd ed. 2024. Berkeley, CA : Apress : Imprint: Apress, 2024. XXII, 403 p. 209 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 1. Quantum Fields – The Building Blocks of Reality -- 2. Richard Feynman, Demigod of Physics, Father of the Quantum Computer -- 3. Behold, the Qubit Revolution -- 4. Enter the IBM Quantum: A One of a Kind Platform for Quantum Computing in the Cloud -- 5. Mathematical Foundation: Time to Dust up that Linear Algebra -- 6. QISKit, Awesome SDK for Quantum Programming in Python- 7. Start Your Engines: From Quantum Random Numbers to Teleportation, pit stop at Super Dense Coding -- 8. Game Theory: With Quantum Mechanics Odds Are Always in Your Favor. -- 9 Quantum Advantage with Deutsch-Jozsa, Bernstein-Vazirani, and Simon's Algorithms -- 10. Unstructured Search and Integer Factorization with Grover and Shor. -- 11. Quantum in the Real World: Advanced Chemistry and Protein Folding. Learn to write algorithms and program in the new field of quantum computing. This second edition is updated to equip you with the latest knowledge and tools needed to be a complex problem-solver in this ever-evolving landscape. The book has expanded its coverage of current and future advancements and investments by IT companies in this emerging technology. Most chapters are thoroughly revised to incorporate the latest updates to IBM Quantum's systems and offerings, such as improved algorithms, integrating hardware advancements, software enhancements, bug fixes, and more. You’ll examine quantum computing in the cloud and run experiments there on a real quantum device. Along the way you’ll cover game theory with the Magic Square, an example of quantum pseudo-telepathy. You’ll also learn to write code using QISKit, Python SDK, and other APIs such as QASM and execute it against simulators (local or remote) or a real quantum computer. Then peek inside the inner workings of the Bell states for entanglement, Grover’s algorithm for linear search, Shor’s algorithm for integer factorization, and other algorithms in the fields of optimization, and more. Finally, you’ll learn the current quantum algorithms for entanglement, random number generation, linear search, integer factorization, and others. By the end of this book, you’ll understand how quantum computing provides massive parallelism and significant computational speedups over classical computers What You'll Learn Write algorithms that provide superior performance over their classical counterparts Create a quantum number generator: the quintessential coin flip with a quantum twist Examine the quantum algorithms in use today for random number generation, linear search, and more Discover quantum teleportation Handle the counterfeit coin problem, a classic puzzle Put your knowledge to the testwith more than 150 practice exercises . Compilers (Computer programs). 66172 Neural networks (Computer science) . 64231 Quantum computers. 65955 Big data. 57216 Python (Computer program language). 64608 Compilers and Interpreters. 66173 Mathematical Models of Cognitive Processes and Neural Networks. 65860 Quantum Computing. 64754 Big Data. 57216 Python. 47553 SpringerLink (Online service) Springer Nature eBook Printed edition: 9781484299906 Printed edition: 9781484299920 Printed edition: 9798868807329 https://doi.org/10.1007/978-1-4842-9991-3 ZDB-2-CWD ZDB-2-SXPC 56310 56310