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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…
Effective 10/13/2023, we’re pleased to share that the Microsoft Quantum Inspired Optimization (QIO) solver is now available on GitHub under the MIT license in collaboration…
Azure Quantum is a platform for innovation. There’s no better place to experiment and unlock innovation today and prepare the quantum solutions of tomorrow. Last…
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…
Effective 10/13/2023, we’re pleased to share that the Microsoft Quantum Inspired Optimization (QIO) solver is now available on GitHub under the MIT license in collaboration…
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 ability for developers and systems integrators to experiment using real quantum hardware is opening up new avenues of quantum research.
Effective 10/13/2023, we’re pleased to share that the Microsoft Quantum Inspired Optimization (QIO) solver is now available on GitHub under the MIT license in collaboration…