Scaling quantum computing toward utility
Estimated completion time: 6 h 30 min
Learn best practices of how to leverage the potential of quantum computers with 100 or more qubits to solve real-world problems.
Learning path content
*Note: The completion times in the image above are approximate. Actual timing will vary based on your prior knowledge, experience, and other factors.
To follow the path, click on the resource links below, and complete them in order for the best possible learning experience:
| Order | Title and link | Type | Description |
| 1 | Quantum Computing in Practice | Course | This course focuses on today's quantum computers and how to use them to their full potential. It covers realistic potential use cases for quantum computing as well as best practices for running and experimenting with quantum processors having 100 or more qubits. You can earn an IBM® Credly badge after passing the course exam. |
| 2 | Qiskit Addons | Guide | Qiskit Addons are a collection of research capabilities for enabling algorithm discovery at utility scale. Read the documentation for each Addon and explore sample code on circuit cutting, sample-based quantum diagonalization, and more. |
| 3 | Solving Utility-Scale Quantum Optimization Problems | Tutorial | Learn how to implement the Quantum Approximate Optimization Algorithm (QAOA) – a hybrid (quantum-classical) iterative method – within the context of Qiskit patterns. You will first solve the Maximum-Cut (or Max-Cut) problem for a small graph and then learn how to execute it at utility scale in a real quantum computer. |
Who is this path intended for?
Ph.D. Students, professors, researchers, developers, research scientists, and other professionals working in fields such as computer science, physics, engineering, and mathematics wanting to develop expertise at applying utility-scale quantum computing to innovate and solve industry-related problems.
- Academics and researchers interested in learning how to leverage the full potential of quantum computers with quantum processors of 100 or more qubits to perform research on solving problems that current supercomputers can't manage, or introducing the next generation of students on these topics.
- Developers looking to improve their skills developing and implementing code and algorithms to solve real-world problems beyond classical programming paradigms using the latest processors of quantum computers.
- Industry professionals and innovation leaders working in sectors such as finance, healthcare, logistics, and cybersecurity, and others, who want to position their companies at a competitive edge by exploring useful quantum computing.
- Students: Undergraduate and graduate students interested in complementing their studies and pursuing a career in technical fields where they can help solve computational problems with utility-scale quantum computation.
- Hobbyists looking to dive deeper on the technical aspects surrounding the use of the latest quantum computers.
Prerequisites
Required:
- Basic proficiency coding in Qiskit with Python
- Foundational understanding of linear algebra (matrices, vectors, complex numbers)
- Foundational understanding of calculus (bachelor-level)
- Some experience with quantum mechanics or quantum information
To learn more
- Qiskit Quantum Seminar: A YouTube Qiskit Channel playlist that will allow you to stay updated with the quantum community's latest academic and research topics. Join every Friday at 12.00 pm EDT to join the live streaming, ask questions in the chat, and engage with a community of quantum enthusiasts.
Post-completion survey
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Next steps
- For a deep dive into the foundations of quantum information try the Understanding quantum information and computation learning path.
- Or to try a single course that explores variational quantum circuits, complete the Variational Algorithms Design course.
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