Live Online Classes in Design, Coding & AI — Small Classes, Free Retakes
Free courses from frontend to fullstack and AI
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Explore the intricacies of quantum query complexity in this comprehensive lecture from Carnegie Mellon University's Quantum Computation course. Delve into the query complexity model, cost model, and their significance in quantum computing. Examine the notation changes and access methods to input in quantum systems. Analyze various examples, including decision problems, Simon's problem, and collision detection. Investigate lower bounds and element distinctness in quantum algorithms. Gain valuable insights from Professor Ryan O'Donnell's expert instruction in this 81-minute session, part of the Fall 2018 CMU course 15-859BB.
Syllabus
Introduction
Query Complexity Model
Cost Model
Why study this model
Simple model
Changing notation
Access to the input
Examples
Decision problems
Notation
Decisions
Simon
Collision
Lower Flower
Element Distinctness
Taught by
Ryan O'Donnell