Q# Blog

Quantum Development

Exploring space-time tradeoffs with Azure Quantum Resource Estimator

Introduction We are delighted to present a new experience for exploring space-time tradeoffs recently added to the Azure Quantum Resource Estimator. Available both as Azure Quantum Development Kit (VS Code extension) and a Python package, it adds a new dimension to estimates. Resource estimation doesn't just yield a single group of numbers...

Azure Quantum Integrated Hybrid unlocks algorithmic primitives

To build a quantum supercomputer that can solve the world’s hardest and most complex problems in chemistry and materials science, several key ingredients need to come together. First, today’s foundational-level quantum machines need to be scaled up to a size of at least one million stable and controllable qubits. These are the table stakes...

Introducing the Azure Quantum Development Kit Preview

100x faster, 100x smaller, and it runs in the browser! The Azure Quantum team is excited to announce the initial preview of the new Azure Quantum Development Kit (or QDK for short). This has been entirely rebuilt using a new codebase on a new technology stack, and this blog post outlines the why, the how, and some of the benefits of doing so...

Blueprint to organize a quantum computing workshop

For many people, learning a new skill is easiest when it's a shared experience. Quantum computing workshops offer an interactive, structured and co-operative forum to jump start your quantum learning. But how do organize such an event? The Azure Quantum team frequently receives questions on how to organize quantum computing workshops, so ...

Shorter quantum circuits

To solve some of the world’s most challenging problems in chemistry and materials science will require scaling up a quantum computer to a million qubits and beyond [BMTS+ 2022]. Microsoft has taken a more challenging, but what we believe to be a more promising path towards scaled quantum computing and designed our machine using ...