The arrival of the first practical quantum computers is now predicted within two years, prompting leaders at the Department of Energy’s Pacific Northwest National Laboratory to focus on maximizing their scientific impact. During a recent workshop organized by PNNL’s QuAADS initiative, director Karol Kowalski challenged attendees to develop scalable algorithms capable of functioning across diverse quantum systems to address real-world problems. Associate Director Bindu Nair relayed that DOE Undersecretary for Science Dario Gil stated, “we are at an inflection point in computing and because of that we are going to be able to do science in ways that have never been done before.” The workshop aimed to define the parameters necessary to make a quantum computer useful for demonstrably advancing quantum chemistry.
PNNL’s QuAADS Initiative Drives Quantum Computing for Chemistry
This timeline is driving PNNL’s Quantum Algorithms and Architecture for Domain Science (QuAADS) initiative, which recently hosted a workshop bringing together key figures in the field to strategize for impactful applications. The workshop underscored the urgency of moving beyond theoretical potential and demonstrating tangible benefits for complex chemistry and materials science challenges. Bindu Nair, Associate Director of DOE’s Office of Science Basic Energy Sciences program, highlighted the substantial investment made by the Department of Energy through the National Quantum Initiative and its Quantum Centers, noting the field is now ready to deliver on that investment. Discussions revealed a consensus on the necessity of exceeding 100 logical qubits to unlock meaningful quantum utility, as emphasized by Kowalski, who is also a Laboratory Fellow at PNNL.
He stressed the importance of selecting problems that are both intellectually stimulating and intractable for classical computers, alongside the critical role of experimental validation to corroborate quantum simulations. The integration of artificial intelligence as a tool to accelerate quantum computing was also a prominent theme, with Marwa Farag of NVIDIA discussing the use of AI models to design improved quantum algorithms for modeling chemical systems. Kowalski summarized the workshop’s outcomes, noting that a formal report will be published in a peer-reviewed journal, building on the success of a similar report from the inaugural workshop. Marvin Warner, PNNL’s Chief Scientist for Quantum, affirmed that this workshop demonstrates PNNL’s commitment to support DOE’s goal of elevating quantum computing into a trusted, mission-relevant tool to advance science.
The charge to you,” she added, “is to come up with what the parameters need to be to make a quantum computer useful to this community so that you can demonstrate something useful in quantum chemistry.”
