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Quantum computing by practice : python programming in the cloud with qiskit and IBM-Q

By:

Silva, Vladimir

Material type: Text

9781484299906

Subject(s):

DDC classification:

006.384 SIL-Q

Contents:

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 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. Advanced Algorithm: Unstructured Search and Integer Factorization with Grover and Shor

11. Quantum in the Real World: Advanced Chemistry and Protein Folding

Summary: 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.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Books	IIITD General Stacks	Computer Science and Engineering	006.384 SIL-Q (Browse shelf(Opens below))	Available		013332

Total holds: 0

Browsing IIITD shelves, Shelving location: General Stacks, Collection: Computer Science and Engineering Close shelf browser (Hides shelf browser)

Previous								Next
Previous	006.38 BER-Q Quantum computing for everyone	006.38 ZYG-F A first introduction to quantum computing and information	006.384 JOH-P Programming quantum computers : essential algorithms and code samples	006.384 SIL-Q Quantum computing by practice : python programming in the cloud with qiskit and IBM-Q	006.4 BIS-P Pattern recognition and machine learning	006.4 BIS-P Pattern recognition and machine learning	006.4 BIS-P Pattern recognition and machine learning	Next

Includes index

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 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. Advanced Algorithm: 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.

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