IBM-Led Team Models 12,635-Atom Protein Complexes With Quantum Hardware, Expanding Scale 40-Fold
Updated
Updated · Chemistry World · May 18
IBM-Led Team Models 12,635-Atom Protein Complexes With Quantum Hardware, Expanding Scale 40-Fold
3 articles · Updated · Chemistry World · May 18
Two protein-ligand complexes containing up to 12,635 atoms were simulated with quantum hardware in a preprint, marking the largest biologically meaningful structures yet modeled this way.
A hybrid workflow made that possible: classical supercomputers split the proteins into fragments, IBM’s 156-qubit processors computed quantum behavior for those pieces, and classical systems reassembled the full models.
The team said the method handled systems about 40 times larger than quantum computers could manage six months ago and improved accuracy in a key workflow step by up to 210 times; it also included solvent explicitly for the first time.
Independent expert Lynn Kamerlin called the workflow impressive for cutting computational cost and breaking the 12,000-atom barrier, but said comparisons with experimental benchmarks are still needed to judge its value for drug discovery.
The work targets a central bottleneck in drug design—accurately modeling how small molecules bind to proteins—and the researchers said the same approach could extend to structural biology and materials science.
Now that the 12,000-atom barrier is broken, what is the next major hurdle for quantum-powered biological simulations?
Can advanced AI on classical hardware match the accuracy of this new quantum-hybrid method for drug discovery?
How will this quantum supercomputing power become accessible to the broader scientific community beyond major institutions?
Quantum Leap: Hybrid Quantum-Classical Computing Simulates 12,635-Atom Protein Complex, Transforming Drug Discovery
Overview
In May 2026, scientists from Cleveland Clinic, RIKEN, and IBM achieved a major breakthrough by successfully simulating protein complexes with up to 12,635 atoms using a combination of quantum hardware and supercomputers. This accomplishment marks a significant leap forward in scientific discovery, pushing the boundaries of how we understand complex biological systems. The scale of this simulation highlights the power of integrating cutting-edge quantum technology with traditional high-performance computing. As a result, the focus in quantum computing is shifting from technical benchmarks to real-world impact, opening new possibilities for drug discovery and materials science.