Participants will learn the basics of how to formulate and solve quantum chemistry and combinatorial optimization problems using Qiskit. The presentations will assume little to no prior knowledge of quantum computation. The examples will be provided of how problems can be solved using the VQE (Variational Quantum Eigensover) and QAOA (Quantum Approximate Optimization Algorithm) approaches. The tutorial will be interactive and will use Jupyter notebooks to explain step by step how to formulate problems for VQE and QAOA. We will provide step-by-step instructions on how to solve the problems from the ground up with as little hidden complexity as possible. These easily customizable code snippets will allow attendees to skip straight to adapting it to their problems as well as to applying their own research.
Participants will also learn how to use Argonne-developed quantum simulator QTensor, the SeQUeNCe quantum network simulator, and Atos simulator myQLM.
The recommended way to run the hands-on Jupyter notebooks is using IBM Quantum Experience web interface.
Mobile notebooks will be available from github in advance of the workshop.
- There is no fee to attend the Fourth Quantum Computing Tutorial, however space is limited and registration is required by June 7, 2021. Please contact us for late registration consideration.
- Registration is limited to only students, postdocs, and staff members from Chicago Quantum Exchange organizations.
To REGISTER, click on the REGISTER button at the right of the page and enter passcode: quantumcomputing2021.