Q# Blog

This spring, we partnered with Quantum Coalition to offer a challenge at QRISE 2024 – a six-week-long event aiming to get students started doing research projects in areas of interest in quantum computing industry. Meet the challenge winners and learn about their projects! The post Resource Estimation Challenge at QRISE 2024: Recap appeared first on Q# Blog.

Some quantum computers can do more than execute a static sequence of gates. The most advanced ones can perform mid-circuit measurements, conditionally execute gates, perform real-time classical computations and re-use qubits. If you want to experiment with these state-of-the-art capabilities, we have good news for you. The Azure Quantum Development Kit now supports running hybrid The post Integrated Hybrid Support in the Azure Quantum Development Kit appeared first on Q# Blog.

Introduction This blog post highlights a recent collaboration between Microsoft and Alice & Bob, a French startup whose goal is to build a fault-tolerant quantum computer by leveraging a superconducting qubit called a cat qubit. In this collaboration, Alice & Bob uses the new extensibility mechanisms of Microsoft’s Resource Estimator to obtain resource estimates for The post Evaluating cat qubits for fault-tolerant quantum computing using Azure Quantum Resource Estimator appeared first on Q# Blog.

If you’ve been exploring quantum programming using Q#, you may have been thinking, “This language is great and so easy to use! But what about visual learners?” I’m a software engineer in the Azure Quantum Development Kit team, and I’m very excited to share a new feature I’ve been working on: circuit visualization in Q#. The post Circuit Diagrams with Q# appeared first on Q# Blog.

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 (one per objective), The post Exploring space-time tradeoffs with Azure Quantum Resource Estimator appeared first on Q# Blog.

We are excited to announce that following its initial release the Azure Quantum Resource Estimator is now open-source. It has been integrated with the Modern QDK making it run up to 100x faster, and running across PC, Mac, Linux or from your web browser. Try it now. Why is resource estimation relevant today? Quantum computing The post Design Fault Tolerant Quantum Computing applications with the open-source Resource Estimator appeared first on Q# Blog.

Today we are excited to announce the 1.0 release of the Azure Quantum Development Kit, which we often refer to simply as “the QDK”. As outlined in an earlier blog post, this is a significant re-write over the prior QDK with an emphasis on speed, simplicity, and a delightful experience. Review that post for the The post Announcing v1.0 of the Azure Quantum Development Kit appeared first on Q# Blog.

We announce Microsoft Quantum research internships for summer 2024 and share some completed intern projects from this summer. The post Interning at Microsoft Quantum – 2024 appeared first on Q# Blog.

As an industry, we are all collectively committed to bringing scaled quantum computing to fruition. Understanding what it will take to reach this goal is crucial not just for measuring industry progress, but also for developing a robust strategy to build a quantum machine and a quantum-ready community. That’s why in June 2023, we offered The post Defining logical qubits: Criteria for Resilient Quantum Computation appeared first on Q# Blog.

We’re excited to release the Resource Estimation and Cryptography interactive experience in Azure Quantum. This experience offers a deep dive into the potential implications of fault-tolerant quantum computing on common cryptographic systems. Thanks to the power of the Azure Quantum Resource Estimator, we can provide estimates of the number of qubits required and expected runtime The post Calculating resource estimates for cryptanalysis appeared first on Q# Blog.