Foundations of quantum programming /

Quantum computers promise dramatic advantages in processing speed over currently available computer systems. Quantum computing offers great promise in a wide variety of computing and scientific research, including Quantum cryptography, machine learning, computational biology, renewable energy, compu...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Ying, Mingsheng (Συγγραφέας)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:Αγγλικά
Έκδοση: Cambridge, MA : Morgan Kaufmann, an imprint of Elsevier, [2024]
Έκδοση:Second edition.
Θέματα:
Διαθέσιμο Online:ScienceDirect
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082 0 4 |a 006.3/843  |2 23/eng/20240506  |1 https://id.oclc.org/worldcat/ddc/E3tKBPJrPpgBtkCt3C7MRWVMmB 
100 1 |a Ying, Mingsheng,  |e author. 
245 1 0 |a Foundations of quantum programming /  |c Mingsheng Ying. 
250 |a Second edition. 
264 1 |a Cambridge, MA :  |b Morgan Kaufmann, an imprint of Elsevier,  |c [2024] 
300 |a 1 online resource (400 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
520 |a Quantum computers promise dramatic advantages in processing speed over currently available computer systems. Quantum computing offers great promise in a wide variety of computing and scientific research, including Quantum cryptography, machine learning, computational biology, renewable energy, computer-aided drug design, generative chemistry, and any scientific or enterprise application that requires computation speed or reach beyond the limits of current conventional computer systems. Foundations of Quantum Programming, Second Edition discusses how programming methodologies and technologies developed for current computers can be extended for quantum computers, along with new programming methodologies and technologies that can effectively exploit the unique power of quantum computing. The Second Edition includes two new chapters describing programming models and methodologies for parallel and distributed quantum computers. The author has also included two new chapters to introduce Quantum Machine Learning and its programming models - parameterized and differential quantum programming. In addition, the First Edition's preliminaries chapter has been split into three chapters, with two sections for quantum Turing machines and random access stored program machines added to give the reader a more complete picture of quantum computational models. Finally, several other new techniques are introduced in the Second Edition, including invariants of quantum programs and their generation algorithms, and abstract interpretation of quantum programs. 
588 |a Description based on online resource; title from digital title page (viewed on June 24, 2024). 
650 0 |a Quantum computers. 
650 0 |a Programming languages (Electronic computers) 
650 6 |a Ordinateurs quantiques.  |0 (CaQQLa)201-0314161 
650 7 |a Programming languages (Electronic computers)  |2 fast  |0 (OCoLC)fst01078704 
650 7 |a Quantum computers  |2 fast  |0 (OCoLC)fst01085095 
856 4 0 |3 ScienceDirect  |u https://www.sciencedirect.com/science/book/9780443159428