In this session, we will cover several features of the Qiskit open source development kit that will help you to be more productive and improve performance when programming quantum computers. This will include the Qiskit Runtime feature to run hybrid quantum-classical algorithms more efficiently. We will also cover the new Qiskit Runtime Service available in the IBM Cloud.

In this session, we will cover several features of the Qiskit open source development kit that will help you to be more productive and improve performance when programming quantum computers. This will include the Qiskit Runtime feature to run hybrid quantum-classical algorithms more efficiently. We will also cover the new Qiskit Runtime Service available in the IBM Cloud.

Part 3 of an 11-session Quantum Series running from January to June. Presented by Sean Wagner (IBM). This topic is repeated at two different times to accommodate various time zones and is posted simultaneously in multiple meetup groups worldwide. The session is not prerequisite for other sessions and is not recorded. Registration is recommended via Webex.

Esta sesión será en español. Acerca de esta sesión: En esta última charla del ciclo, veremos la introducción a Microsoft Azure Quantum Development Kit (QDK), la configuración del entorno de programación con VS Code, la exploración del entorno, la creación de un entorno de trabajo de Azure Quantum y nuestros primeros programas cuánticos con ejemplos base. Se presentarán Q# y su integración con Python y Qiskit, así como Quantum Katas para seguir la ruta de aprendizaje.

In this hands-on workshop, you will learn the fundamentals of programming a quantum computer. We will use the IBM Quantum platform to create quantum circuits both visually using the Circuit Composer and with Python code using the open source Qiskit framework. You will have the opportunity to run your circuits using quantum simulators and on real quantum computers in the IBM Cloud. Attendees should sign-up for a free account on the IBM Quantum platform beforehand at https://quantum-computing.ibm.com to best experience this hands-on session. Part of the 11-session Quantum Series (January–June).

Hands-on workshop to learn the fundamentals of programming a quantum computer using the IBM Quantum platform. We will use Circuit Composer to create quantum circuits visually and Python code with Qiskit. Attendees will run circuits on simulators and on real quantum computers in the IBM Cloud.

We will provide an introduction and overview of quantum computing and IBM Quantum. This will include a discussion on the motivation for quantum computing and how quantum computers work.

Next, we will examine the types of problems to which quantum computing might be applied. The development roadmap will be presented. The IBM Quantum platform, which provides the tooling and interfaces for programming IBM quantum computers, will be introduced.

Finally, we will highlight the IBM Quantum ecosystem which includes the IBM Quantum Network and the Qiskit community. After this session you should be empowered with the knowledge and resources you need to begin your quantum computing journey.

Introduction and overview of quantum computing and IBM Quantum. Includes motivation for quantum computing and how quantum computers work. Discusses the types of problems quantum computing might be applied to, the development roadmap, the IBM Quantum platform (tooling and interfaces), and the IBM Quantum ecosystem (IBM Quantum Network and the Qiskit community).

Overview of features of Qiskit and the IBM Quantum platform, including error mitigation and suppression techniques, circuit knitting methods, and a demonstration of a quantum chemistry calculation using Qiskit Nature.

In this session, we will examine features of Qiskit and the IBM Quantum platform that will help realize quantum advantage. The talk covers error mitigation and suppression techniques to improve results on current hardware, circuit knitting methods to perform large quantum calculations with fewer qubits, and a demonstration of a quantum chemistry calculation using Qiskit Nature.