Overview
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore recent algorithmic primitives in quantum computation with a focus on Linear Combination of Unitaries (LCU) and Quantum Signal Processing (QSP) in this 45-minute lecture by Robin Kothari from Microsoft Research. Delve into probabilistic implementations, classical repetition, and oblivious amplitude amplification (OAA) as foundational concepts. Examine the LCU method and its application to Hamiltonian simulation, along with other practical uses. Investigate eigenvalue transformation and the process of setting up the "Signal" in quantum systems. Gain insights into the challenges and advancements in quantum computation, concluding with a comprehensive recap of these cutting-edge algorithmic techniques.
Syllabus
Intro
This talk: Focus on algorithmic techniques
Probabilistic implementations
Classical repetition
Oblivious amplitude amplification (OAA)
A linear combination of unitaries
Linear combination of unitaries (LCU method)
Application to Hamiltonian simulation
Other applications
Eigenvalue transformation
Setting up the "Signal"
Quantum signal processing (QSP)
Recap
Taught by
Simons Institute