![](https://ccweb.imgix.net/https%3A%2F%2Fwww.classcentral.com%2Fimages%2Ficon-black-friday.png?auto=format&ixlib=php-4.1.0&s=fe56b83c82babb2f8fce47a2aed2f85d)
Overview
![](https://ccweb.imgix.net/https%3A%2F%2Fwww.classcentral.com%2Fimages%2Ficon-black-friday.png?auto=format&ixlib=php-4.1.0&s=fe56b83c82babb2f8fce47a2aed2f85d)
This course on Quantum Algorithms for Hamiltonian Simulation aims to provide a high-level overview of key strategies used in modern Hamiltonian simulation algorithms. The course covers topics such as quantum dynamics, Trotter Suzuki simulations, specific examples like Pauli-Hamiltonian, and interaction picture simulations. By the end of the course, learners will understand how to optimize simulations for chemistry and quantum electrodynamics in quantum systems. The intended audience for this course includes individuals interested in quantum computing, quantum algorithms, and simulation techniques.
Syllabus
Intro
Why Quantum Simulation?
Quantum Dynamics
Trotter Suzuki Simulations
What is a simple simulation?
Specific Example: Pauli-Hamiltonian
Specific Example: Adding Unitary Matrices
Interaction Picture Simulation
Reflection Operations
Cost of Simulations
Trotter: The Schwinger Model
Interaction Picture: Simulation in Planewave Dual Basis
Qubitization: Chemistry
Taught by
Simons Institute