Rigetti’s Quantum Cloud Services (QCS™), a platform to explore hybrid quantum-classical workflows on superconducting quantum processors, is now available on demand through Azure Quantum. Read more
Since it was introduced in February, the Azure Quantum Credits program has attracted applicants ranging from enterprise innovators and solution partners to academic researchers and student explorers. It has been exciting to see the diversity of proposals submitted – featuring the use of quantum hardware accessible through Azure Quantum to investigate novel use cases, experiment Read more
The latest version of our Quantum Development Kit now is available. It offers a new quantum chemistry library to advance computational chemistry research, an improved developer experience, and new Q# language capabilities. Read more
For those who want to explore quantum computing and learn the Q# programming language at their own pace, we have created the Quantum Katas – an open source project containing a series of programming exercises that provide immediate feedback as you progress. Read more
Whether you’re new to quantum development or you’ve got experience and want to see how your skills are improving, you won’t want to miss the Summer 2018 Q# Coding Contest, provided in collaboration with Codeforces.com. Read more
The latest update to the Microsoft Quantum Development Kit includes an enhanced debugging experience and faster simulations, as well as several contributions from the Q# community. Read more
To gain a broader understanding of quantum computing, check out this comprehensive overview from Microsoft Quantum Architect Dave Wecker. You’ll learn how quantum computing is different from classical computing, the types of problems a quantum computer can solve, and what makes topological qubits so unique. Read more
While a variety of quantum systems exist today, many are unable to scale to solve some of the world’s most challenging problems. Explaining the real-world obstacles of building a quantum system that scales, this post explores how Microsoft addresses these challenges through a topological qubit. Read more
In our quest for topological quantum computing with Majorana zero modes, one missing piece is the efficient, high-quality creation of magic states to perform the π/8 (or “T” gate). Our new paper, Magic State Distillation with Low Space Overhead and Optimal Asymptotic Input Count, provides a family of solutions to this need, allowing for a wide range Read more
A major hurdle for quantum algorithms for linear systems of equations, and for quantum simulation algorithms, is the difficulty to find simple circuits for arithmetic. Prior approaches typically led to a large overhead in terms of quantum memory, required operations, or implementation error. By leveraging recent advances in reversible logic synthesis, Martin Roetteler and Read more
QCoDeS is an open source data acquisition framework that was created by distilling the homegrown solutions used in Station Q’s experimental labs, and infused with all the best practices from the open source software world. It includes a simple syntax to define complex sweeps over n-dimensional parameter space, all the machinery required to visualize Read more
In this paper, published in Physical Review A, we show how to greatly improve success at solving Constraint Satisfaction Problems on a quantum computer by using a learned schedule, instead of the standard linear ramps. The technique actually improves as the problem gets larger and more difficult, allowing classical machines to learn optimizations that Read more
