Shalev Ben-David: Thesis Defense: Quantum Speedups in Query Complexity Speaker: Shalev Ben-David Host: Scott Aaronson Date: Thursday, June 29, 2017 Time: 3:00 PM to 4:30 PM Refreshments Time: 2:45 PM Location: G575 Abstract: In this thesis, we study randomized and quantum algorithms in the query complexity model. We investigate when and by how much quantum algorithms provide a speedup over the best possible classical algorithm in the query complexity setting. We introduce a total Boolean function that exhibits a power 2.5 quantum speedup compared to the best possible randomized algorithm. In the process, we introduce the "cheat sheet" method for turning partial Boolean functions into total Boolean functions, and examine some of its other applications. We also study lower bound techniques for randomized algorithms. We introduce a measure called randomized sabotage complexity which lower bounds randomized query complexity and behaves well under compositions. This tool for controlling the randomized query complexity of composed functions combines nicely with the cheat sheet technique, which often features composed functions in its applications. Finally, we characterize the total Boolean functions that exhibit exponential quantum speedups when their domain is restricted to an arbitrarily chosen set. We show that such a "sculpting" of a quantum speedup is possible if and only if the original total function has many inputs with large certificate complexity. Along the way, we also show that functions defined on very small domains or that are very unbalanced can display at most a quadratic quantum speedup. Advisor: Scott Aaronson Committee Members: Aram Harrow and Ryan Williams Relevant URL: For more information please contact: Deborah Goodwin, 617.324.7303, <a href="mailto:dlehto@csail.mit.edu">dlehto@csail.mit.edu</a> _______________________________________________ qip mailing list qip(a)mit.edu http://mailman.mit.edu/mailman/listinfo/qip