December 2024
Intermediate to advanced
494 pages
8h 28m
English
book
Quantum Machine Learning and Optimisation in Finance - Second Edition
by Antoine Jacquier, Oleksiy Kondratyev
Content preview from Quantum Machine Learning and Optimisation in Finance - Second Edition
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Chapter 2 Adiabatic Quantum Computing
Search algorithms are among the most important and fundamental algorithms in computer science, the most basic example being that of finding one special item among a list of N items. Classical algorithms are known to solve this problem in time proportional to the problem size, N, which becomes highly untractable when the latter grows large. In 1996, Grover [124] devised a quantum algorithm to solve such search problems with a quadratic speedup, with the obvious caveat that quantum computers did not exist at the time. Soon after, Farhi, Goldstone, Gutmann, and Sipser [98] recast the Grover problem as a satisfiability problem in the context of quantum computation by adiabatic evolution.
Another class of problems ...
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