Showing results for 2021 - Q# Blog

Here we introduce the Q# Formatter, a tool to help keep your Q# code up to date with the latest Q# syntax.

This blog offers you a quantum logical puzzle: you are given the outline of a simple quantum circuit and a set of clues about it, and you have to complete the circuit based on the clues.

Estimating the resources and visualizing execution traces of Q# programs are useful tasks. The trace simulator from the QDK and quantum-viz.js Javascript library help to perform those. In this blog post, we customize the trace simulator to output a circuit with hierarchy and resource information to be displayed with quantum-viz.js. The flame ...

Quantum applications are typically of hybrid nature: there is always a classical component that submits and monitors the quantum jobs at runtime. This blog shows how Azure Functions can be used to integrate quantum components written in Q# via APIs into classical applications in a serverless model.

A look back at the fourth year of Q#.

Learn about Microsoft's "Most Valued Professional" MVP program, how quantum MVPs are contributing to and helping build a vibrant quantum computing community today, and how you can become one!

This blog post shows how DevOps practices need to adapt when software includes both classical and quantum components, resulting in a repeatable, high-quality process for building, deploying, and monitoring hybrid quantum software.

In this blog post I show how to analyze and optimize a quantum Sudoku solver written in Q# using resources estimation tools from Quantum Development Kit.

This post is written as part of the Q# Advent Calendar 2021. Happy Holidays! If you’ve taken a stab at quantum programming, you’ll probably have heard of “hybrid quantum-classical computing”. Not to be confused with hybrid cloud or hybrid computers, hybrid quantum-classical computing is a popular topic among quantum computing aficionados ...

Q# and the Quantum Development Kit make it easy to write and run quantum programs using Python, .NET, or even Jupyter notebooks. This post shows how you can use the same infrastructure to embed Q# in your favorite languages and platforms, including Julia, Lua, and PowerShell.