PNNL News
Leading Innovative Projects in Cloud and Quantum Technologies: PNNL and Microsoft Usher in a New Era of Scientific Computing
A major change in scientific computing is being led by the Department of Energy’s Pacific Northwest National Laboratory (PNNL), in partnership with Microsoft and other top national labs and universities. The Transferring Exascale Computational Chemistry to Cloud Computing Environment and Emerging Hardware Technologies (TEC4) project, which is democratising access to cloud computing resources, and a focused effort to unleash the potential of quantum computing for complex chemical problems are two important initiatives at the forefront of this transformation. A new paradigm for scientific computing is being ushered in by these initiatives, which aim to provide strong, flexible, and sustainable answers to some of the most difficult scientific problems facing humanity.
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A Flexible Addition to High-Performance Computing: Cloud Computing
The TEC4 effort, spearheaded by Karol Kowalski, a computational chemist at PNNL, shows how cloud computing can offer a flexible addition to the robust, established leading computing capabilities. Kowalski said, “This is a completely new paradigm for scientific computing,” emphasising the potential to combine cloud computing resources with software as a service. The project’s main goal is to move computationally demanding algorithms to the cloud. These algorithms are usually used to assess novel compounds for a range of commercial applications.
One of the main results of this study is a blueprint for creating a sustainable scientific computing environment that can change with the times. It was published in a peer-reviewed journal. According to the team’s results, advanced computational chemistry procedures can be finished in days as opposed to months because to cloud computing’s exceptional speed and adaptability.
Microsoft’s contribution is essential to this development, especially through Azure Quantum Elements. Microsoft product leader Nathan Baker confirmed that the company’s objective is to “empower the scientific community to accelerate scientific discovery,” viewing this partnership as a prime illustration of how computational chemistry may be advanced by contemporary AI and High-Performance Computing (HPC) capabilities.
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The TEC4 program tackles the pressing need for effective problem-solving, especially when it comes to sustainable energy concerns. The team has examined intricate molecular dynamics issues, including the degradation of the persistent environmental contaminant perfluorooctanoic acid (PFOA), by utilising Microsoft Azure and advanced processes. This paper serves as an example of how practical environmental cleanup techniques can be informed by computational chemistry.
A flexible cloud computing infrastructure that can meet a variety of computational needs is what PNNL envisions. “We envision an ecosystem of use cases from low-tier to high-tier jobs that took advantage of GPU-based computing now being used extensively for artificial intelligence and machine learning applications,” says Kowalski, describing this future condition. The goal is to bundle software with compute access and allow customers to access many tiers of compute resources, paying only for what is required.
In addition, new courses are being provided at universities in partnership with PNNL to train a new generation of scientists skilled in these tools and to create a community of creators and users. The DOE Office of Science, Basic Energy Sciences program provides the majority of the financing for the TEC4 project, with additional funds coming from internal investments at PNNL and the Department of Defence.
Quantum Computing: Tackling the Most Complex Chemical Frontiers
At the same time, PNNL is leading the way in applying quantum computing to practical scientific issues, working with Microsoft and other industry leaders to address issues like which challenging quantum chemistry problems are best suited for quantum solutions and how to interpret the results.
Experts in quantum computing and quantum chemistry recently convened an international workshop, co-organized by PNNL and Microsoft, to identify useful applications for quantum computers in the upcoming three to five years. “Success in this era will likely hinge on algorithm design and workflows, and importantly, fostering co-design between quantum algorithm developers, chemistry domain experts, and hardware engineers,” stressed Bo Peng, PNNL computational scientist and workshop co-organizer.
The idea that algorithms that provide an exponential advantage over classical computing will yield the most powerful uses of quantum computing was emphasised by Nathan Baker of Microsoft.
Additionally, he emphasised how quantum computing is inherently hybrid, combining artificial intelligence, high-performance computing, and the dependable functioning of qubits. Determining which problems actually require a quantum computer and which are appropriate for high-performance computing systems is a crucial difficulty.
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Focussing on how quantum computations might significantly advance our understanding of intricate chemical processes and open the door to predictions in fields like fusion energy and effective chemical conversions, the idea of “quantum utility” was at the centre of the conversations. Several important topics and obstacles for immediate success were identified by the workshop:
- Co-design is essential for meaningful advancement, necessitating cooperation between end users, hardware designers, and software developers.
- Setting industrial standards for quantum usefulness is essential, with an emphasis on experimental validation.
- It’s critical to train a cross-functional workforce through programs like postdoctoral exchanges and industry/academic/national lab co-fellowships.
- Tiered workflows that combine AI and traditional HPC will speed up quantum computing by focussing costly quantum resources on issues where traditional approaches fall short.
Peng was optimistic that “realistic quantum chemical simulations utilising conventional processors comprising 25 to 100 logical qubits” may be accomplished in the next years with this attitude of cooperation.
A Unified Vision for Future Science
PNNL’s strength in computational chemistry and dedication to furthering scientific discoveries are demonstrated by the TEC4 initiative and the quantum computing initiatives. These initiatives are part of a larger movement to build a strong, flexible, and cooperative scientific computing ecosystem.
Another important player is the PNNL Computational and Theoretical Chemistry Institute (CTCI), which develops next-generation molecular modelling capabilities by combining computer science, quantum computing, chemistry software development, new datasets, and data science tools like artificial intelligence (AI) and machine learning.
In addition to tackling pressing issues and spurring innovation for a sustainable future, PNNL and its partners are paving the way for previously unheard-of advances in science and engineering by democratizing access to sophisticated computer resources and strategically utilising cutting-edge technology.
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