Practical Introduction to Quantum Computing
20th September 2022, 09.30 – 16.30, London
Applications Closed 25th August 2022, 17.00
Workshop: A Practical Introduction to Quantum Computing
Quantum computers offer a new paradigm for tackling important problems in physics and other scientific disciplines. The promise of quantum advantage and large-scale general purpose processors may be years away, but hybrid algorithms using Noisy Intermediate-Scale Quantum (NISQ) computers can already provide a computational advantage for solving real-world problems in the fields of quantum chemistry, material science, cryptography, data science, and biology.
Description
DiRAC has partnered with Atos, the Global Information Technology Service, to offer our users the opportunity to learn and experiment with Quantum Computers. The Atos Quantum Learning Machine (Atos QLM) framework provides high-power simulators that allow researchers to rapidly iterate on the design of their algorithms and analyse their performance while simulating the noise and constraints of real quantum architectures.and get ready for the Quantum Revolution.
Using the Atos myQLM Python package, this workshop will introduce the fundamentals of quantum computing through talks and hands-on worked examples from particle physics and astrophysics quantum machine learning, and teach you how to design, create, and execute a quantum circuit. Over the course of the day you’ll develop the skills and knowledge needed to engage with this exciting emerging field and begin leveraging the power of quantum algorithms to solve problems in your own field.
A draft agenda can be found here.
Location
The Workshop will be hosted at The Wellcome Institute, 183 Euston Road, London, NW1 2BE
Places for this workshop are limited and the Application Form can be found below. Successful Applicants will be notified on the 26th August and asked to run a simple myQLM code prior to the workshop.
Please contact Richard Regan, DiRAC’s Training Manager (richard.regan@durham.ac.uk) for more information
