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To take full advantage of an Interactive Hybrid architecture, many popular algorithms such as the Variational Quantum Eigensolver (VQE) and the Quantum Approximate Optimization Algorithm (QAOA) require tight integration between the cloud provider and the quantum hardware manufacturer.    Today, Azure Quantum is introducing sessions, ...

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 blog post illustrates how CI/CD-pipelines can be built for hybrid quantum apps with tools from the Quantum Development Kit (QDK), GitHub Actions and various Azure services. These cover the full app lifecycle: from app building, automated testing, resource estimating up to provisioning the target environment and deployment of the app.

In this blog post, I would like to talk about a feature that is especially interesting when it comes to new ways for you to incorporate your own ideas and vision into our tools: Custom compilation steps, which allow you to extend and customize the Q# compilation process.

With our April release coming out, you may have noticed some major changes. This is therefore a good time to recap the language features we have introduced over the last couple of months, elaborate a little bit on the newest changes, and peek into what is coming next.