YoVDO

Recent Algorithmic Primitives - Linear Combination of Unitaries and Quantum Signal Processing

Offered By: Simons Institute via YouTube

Tags

Hamiltonian Simulation Courses

Course Description

Overview

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

Related Courses

Quantum Information Science II: Advanced quantum algorithms and information theory
Massachusetts Institute of Technology via edX
Quantum Algorithms for Hamiltonian Simulation - Quantum Colloquium
Simons Institute via YouTube
Quantum Algorithms - An Overview of Techniques
Simons Institute via YouTube
Quantum Algorithms - From Far to Near Future
Fields Institute via YouTube
Quantum Simulation - IPAM at UCLA
Institute for Pure & Applied Mathematics (IPAM) via YouTube