Quantinuum’s Post

Today, Microsoft announced two new purpose-built capabilities in Azure Quantum Elements that will further increase the productivity and accessibility of chemistry and materials science research—Generative Chemistry and Accelerated DFT. This was done in collaboration with Quantinuum leveraging their H1-2 quantum hardware. In the coming months, they will introduce advanced logical qubit capabilities from Microsoft and Quantinuum to the private preview of Azure Quantum Elements. This not only starts to demonstrate convergence of AI and Quantum but has the potential to disrupt drug discovery and have a huge positive impact on humanity. #quantumtechnology #quantumchemistry #AI #serendipitycapitalportfolio

https://lnkd.in/exCyAx77 #GenerativeAI helps bring to light a much larger portion of the estimated 10^60 possible combinations of atoms so that scientists are presented with novel candidates that are likely to serve the intended purpose. #AzureQuantum team at Microsoft is announcing #GenerativeChemistry—an upcoming capability that has the potential to greatly simplify this process and help scientists quickly discover and design new compounds with desired properties, thus increasing the productivity of product innovation. #DensityFunctionalTheory #DFT is one of the most popular methods in computational chemistry due to its efficiency and accuracy in modeling quantum-mechanical properties. It allows researchers to simulate and study the electronic structures of atoms, molecules, and nanoparticles as well as surfaces and interfaces, thus predicting properties such as dielectric constant, ionization potential, and polarizability. Scientists can then tailor those properties to optimize them for specific applications. Although DFT is highly valuable for research and product design, most DFT codes need to be run directly by the user in HPC clusters, which can be a difficult undertaking. Additionally, DFT—when run on traditional HPC hardware—requires substantial compute power and becomes constrained as the molecules being studied or designed increase in complexity and size. To simplify and improve this process, Azure Quantum and Microsoft Research designed and launched #AcceleratedDFT, a code used to simulate the electronic structure of molecules. Accelerated DFT can determine the properties of molecules with thousands of atoms in a matter of hours. It performs substantially faster than other DFT codes and offers a 20-fold average increase in speed compared to PySCF, a widely used open-source DFT code.

Generative Chemistry and Accelerated DFT ?

To help scientists explore more of that vast search space, Microsoft has announced Azure Quantum Elements. It is a new system that aims to accelerate chemical and materials science today through the scale of Azure High Performance Computing (HPC) and the speed of AI. #microsoft  #information #business  #management #business #tech #cloudcomputing #ai

Quantum compute, HPC and AI combine for sustainability Microsoft and Pacific Northwest National Laboratory join forces to accelerate scientific discovery for energy storage solutions. This multi-year collaboration marks the start of an exciting new journey that will bring the power of AI to many aspects of scientific research. Together, the teams have been able to discover and synthesize a new material for resource-efficient batteries in less than nine months. https://lnkd.in/epUVHGeb

An excellent overview by Paul Smith Goodson of Moor Insight on Azure Quantum Elements and how we accelerate discovery in materials science using cloud-scale HPC and AI. Well worth the read.

Microsoft announces two powerful new capabilities in Azure Quantum Elements: Generative Chemistry and Accelerated DFT. This exciting introduction will improve productivity in scientific research by making discoveries faster and easier. https://lnkd.in/ebhdt7r8

AI is set to change sustainability outcomes in a way that we have not experienced before. Read about how the Microsoft Quantum team in collaboration with scientists at PNNL, are testing a new battery material that was found in a matter of weeks, not years using AI. The new battery material came out of a collaboration using Microsoft’s Azure Quantum Elements to winnow 32 million potential inorganic materials to 18 promising candidates that could be used in battery development in just 80 hours. More importantly, this work breaks ground for a new way of speeding up solutions for urgent sustainability, pharmaceutical and other challenges while giving a glimpse of the advances that will become possible with quantum computing. #aiforsustainability #microsoft #sustainabilityinaction #innovation

🔋 #BatteryTechnology Updates: The collaboration between #Microsoft and the Pacific Northwest National Laboratory (PNNL) has demonstrated how the combination of advanced AI and next-generation cloud computing is accelerating the pace of scientific discovery, particularly in the field of #battery chemistry and materials science. The use of AI and high-performance computing has enabled scientists to identify new #batterymaterials in a matter of weeks instead of years. 🔎 The collaboration between Microsoft and PNNL is focused on finding new #batterymaterial candidates, but the AI tools can be applied to any kind of materials research. In the case of #batteryresearch, the AI system quickly suggested 32 million different candidate materials, which were filtered down to 23. 👉 The cooperation discovered a new solid-state electrolyte material that reduces #lithium concentration by up to 70% while demonstrating stability and safety. The speed at which the material was identified is the main highlight of the collaboration, showcasing the potential of AI and HPC in scientific discovery. Source: https://lnkd.in/eQAdFHJU #battery #batteries #batterytechnology #batteryscience #energystorage #renewableenergy #sustainableenergy #lithiumbattery #lithiumionbattery #lithiumion #lithium #electricvehicle #ev #batterysafety #batteryresearch

The growing number of #AI use cases show that AI can augment classical computing capabilities. Artificial intelligence can also enhance the capabilities of quantum computing, and IBM is paving the way for artificial intelligence to complement the development of quantum computing. IBM combines both technologies to improve quantum computing and accelerate its deployment. The company is integrating its AI technology (#watsonx, Granite models) with #Qiskit software to improve ease of use of #SDK tools and #OpenQASM3 (open quantum assembly language) to generate digital agents capable of providing developer support and quantum code assistance. To learn more, follow the link below https://lnkd.in/dYMVeQ3Q Piotr Biskupski, Tomasz Stopa, Slawomir Kumka #IBMQuantum, #GenAI,