
Using Q# to estimate resources needed for quantum advantage in derivative pricing
By working with Q# implementation Goldman Sachs improves the accuracy and flexibility of resource estimates for quantum advantage in derivative pricing.
By working with Q# implementation Goldman Sachs improves the accuracy and flexibility of resource estimates for quantum advantage in derivative pricing.
In our efforts to innovate across every layer of the Azure Quantum stack, we are pleased to launch Azure Quantum for Educators: a one-stop resource…
Quantum computing is evolving quickly. There are many different qubit technologies and development tools vying for your consideration. It can be challenging to know where…
Vibrant ecosystems are a cornerstone of innovation for any emerging technology space. The field of quantum computing is no different. We’re excited to share several…
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…
It has been a year since Microsoft unveiled its vision for building a scalable quantum computer. The company is advancing toward that goal, with seven…
This week marks one year since Microsoft announced our bold vision of developing a scalable, full stack quantum computing solution. During that period, we have…
This July, the Microsoft Quantum team partnered with the University of Technology Sydney to welcome forty participants to the exciting world of quantum development using…
For those who want to explore quantum computing and learn the Q# programming language at their own pace, we have created the Quantum Katas -…
If you’re thinking about getting into quantum development, you probably have a few questions. What can you do with it? How different is quantum compared…
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…
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#…