Introduction

• Sofia Vallecorsa (CERN)
• Michele Grossi (CERN)

Introduction to Azure Quantum, QIO, QC paths

• Vincent Van Wingerden (Microsoft Azure )
• Leo Spit (Microsoft Azure)

During this session Leo and Vincent will give a broad and high level overview of the capabilities that Azure Quantum has to offer. They will walk you though the different types of hardware that are available on Azure and show how to leverage this in algorithms and code.

Break

How to optimize Q# code, resource estimation

• Mathias Soeken

Resource estimation is the task of evaluating the cost of a quantum program for current and future quantum computers. It's an important task for quantum engineers to anticipate the hardware requirements for solving those problems that are too complex for classical computers. In this talk, we show a typical resource estimation and verification workflow using Q# and the Quantum Development Kit. We use the table lookup operation as running example, which is an important building block in quantum algorithms for chemistry simulation or factorization.

Break

How to simulate and run quantum algorithms on Azure Quantum with Q# and Python

• Chris Granade (Microsoft Azure)
• Guen Prawiroatmodjo (Microsoft Azure)

Azure Quantum is Microsoft's cloud service for running Quantum Computing circuits in the cloud. In this talk, we will showcase the features and offers that we support today: Azure Quantum Notebooks, the Azure Credits Program, submitting Qiskit programs, using Q# with a Python host program and running circuits on different quantum hardware targets, including IonQ and Honeywell. Finally, we will talk about our roadmap for quantum coherent classical processing using the Quantum Intermediate Representation (QIR) and how this will change the way hybrid classical-quantum algorithms are implemented on near-term quantum hardware.

Q&A and discussion