IBM-UChicago Collaboration Achieves Accurate Molecular Insights With LASSQD

Researchers from the IBM–University of Chicago Quantum Collaboration have developed LASSQD, a new computational framework that tackles molecular modeling by first breaking down complex systems into smaller fragments and then employing a quantum sampling technique. Published in the Proceedings of the National Academy of Sciences, the method demonstrates that even current “noisy” quantum computers, lacking full error-correction, can contribute to accurate molecular insights.

The team showed LASSQD achieves highly accurate results while using a smaller dimension space, potentially advancing research in areas like catalysis and energy. “This work demonstrates that current quantum hardware can already be integrated with established quantum chemistry methods,” said Prof. Laura Gagliardi, co-author of the research. LASSQD Method Combines Classical and Quantum Computing A computational framework developed by the University of Chicago Pritzker School of Molecular Engineering, the Department of Chemistry and IBM combines the power of classical and quantum computing to reveal insights into the complex electronic structures of molecules. Called LASSQD (localized active space sample-based quantum diagonalization), the method breaks down the longstanding challenge of accurately modeling molecules into smaller fragments, then employs a quantum sampling technique to solve them. This allows the hybrid algorithms to solve larger fragments. Researchers showed that, although the method produces approximate solutions in the fragments, its results remain highly accurate while using a smaller dimension space and can run on current “noisy” quantum computers, which do not yet have full error-correction.

The team demonstrated the method’s efficacy by applying it to iron-containing systems, including models of catalytic centers in metal-organic frameworks and the spin gap of iron porphyrin, a widely used industrial complex. These initial studies confirmed that the fragment-based calculations maintained a high degree of accuracy without necessitating a complete quantum treatment of the entire molecule. Joanna (Qiaohong) Wang, the UChicago PME graduate student and first author of the paper, clarified that while the results are approximate, “the accuracy is not compromised when you use this hybrid workflow.” The team is now focused on refining the method to further reduce computational demands, with the long-term goal of harnessing the full potential of quantum computing to unlock new insights into chemical behavior and ultimately solve these problems quantum-mechanically without such costs, according to Wang. This work demonstrates that current quantum hardware can already be integrated with established quantum chemistry methods. Although today’s devices are still limited, they can already play a useful role in hybrid computational workflows. Prof. Laura Gagliardi, co-author of the research Researchers are increasingly turning to hybrid classical-quantum approaches to model molecular ground states, a critical step in understanding chemical reactions and catalysis; the University of Chicago Pritzker School of Molecular Engineering and IBM have unveiled a new framework called LASSQD to address this challenge.

The team demonstrated that LASSQD can function effectively on existing “noisy” quantum computers, sidestepping the need for full error-correction capabilities, which are currently unavailable. This is a significant step toward practical application, as it allows researchers to utilize current hardware rather than waiting for future advancements. Co-author Prof. Laura Gagliardi stated that this research is a promising development in the field. Classically solving these problems still incurs huge computational costs, but quantum computing will eventually be able to solve these problems quantum-mechanically without such costs. Wang Source: https://pme.uchicago.edu/news-events/news/classical-and-quantum-computing-reveal-molecular-insights Stay currentSee today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals. Tags: The Quant The Quant possesses over two decades of experience in start-up ventures and financial arenas, brings a unique and insightful perspective to the quantum computing sector. This extensive background combines the agility and innovation typical of start-up environments with the rigor and analytical depth required in finance. Such a blend of skills is particularly valuable in understanding and navigating the complex, rapidly evolving landscape of quantum computing and quantum technology marketplaces. The quantum technology marketplace is burgeoning, with immense growth potential. This expansion is not just limited to the technology itself but extends to a wide array of applications in different industries, including finance, healthcare, logistics, and more. Latest Posts by The Quant: Graphene Junctions Sustain Josephson Effect Up To 6 Tesla July 14, 2026 MIT and Caltech Researchers Create Single Ion Achieving Quantum Error Correction (QEC) July 14, 2026 Imec and Diraq Fabricate First 8-Qubit Silicon Spin Array July 13, 2026