Chalmers And Lund University Test Quantum Protein Folding

Researchers from Chalmers University of Technology and Lund University are testing the limits of current quantum hardware by applying variational quantum algorithms to protein design.

Official response and confirmed impact

Their work focuses on optimizing sequences to minimize energy in a target structure, the first of these two steps, rather than attempting full protein folding computations on noisy intermediate-scale quantum (NISQ) devices.

The team compared problem-informed quantum circuits with the hardware-efficient ansatz, achieving a significant success probability (≥0.2) in most instances when running the latter on quantum hardware at Jülich Supercomputing Centre with parameters from simulations.

This approach acknowledges the constraints of existing technology while exploring practical applications for quantum computing in biomolecular design.

This work diverges from full protein folding computations by concentrating on the sequence optimization task, a less computationally intensive process suitable for current quantum hardware limitations.

The approach splits the protein design problem into two distinct phases; the first, addressed in this study, focuses on energy minimization, while the second verifies whether the resulting sequences achieve the intended structure.

Incident under investigation

The team’s investigation centers on noisy intermediate-scale quantum (NISQ) devices, moving beyond theoretical simulations to practical implementation.