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Today, Microsoft announced a significant quantum advancement and made our new Integrated Hybrid feature in Azure Quantum available to the public. Quantum computing is inherently hybrid. The key to unlocking impactful, commercial applications at scale will be deep integration between classical computing capabilities including HPC and AI with scal...

Want to pursue your interests in quantum computing? Start today and sign up for great winter learning opportunities with Azure Quantum.

In this blog post Hal Owens writes about his internship project at Microsoft Quantum - developing quantum programming assignments with Q# and bringing them to the classroom at Purdue.

λ-Q# is an idealized version of Q# aimed at providing it a formal language definition, placing the language on a solid mathematical foundation, and enabling further evolution of its design and type system.

This fall I taught "Introduction to quantum computing" at Northeastern University. In this post, I share my experience teaching it and describe the kinds of programming assignments the course offered.

Learn how to automate physical resource estimation jobs using the Azure Quantum Resource Estimator and the Azure Quantum Python library.

Q# Holiday Calendar is a yearly blogging event in which every day in December one awesome community member writes a blog post about Q# and/or Azure Quantum. Check out the previous years' blogs and join the 2022 edition!

In March we migrated the Quantum Development Kit to .NET 6.0 and added support for Visual Studio 2022. Learn more here in this post!

This blog post introduces the sparse simulator. Learn how it works and how it may help you with testing and debugging of quantum algorithms.

Here we introduce the new Q# lambda expressions language feature and give some examples of its usage.