Breakthrough quantum method slashes simulation complexity by fivefold

Breakthrough quantum method slashes simulation complexity by fivefold

Janet Carey
Janet Carey
1 Min.
Researchers Model Quantum Systems with New, Efficient Qc-Heom Algorithm

Breakthrough quantum method slashes simulation complexity by fivefold

Researchers at the Tata Institute of Fundamental Research have developed a new computational method for modelling complex quantum systems. The approach, called quantum-classical hierarchical equations of motion (QC-HEOM), promises greater accuracy and efficiency in simulations. The QC-HEOM method introduces a hierarchical structure using auxiliary quantum influence functionals. This allows it to separate thermal fluctuations from residual quantum memory without relying on complex mathematical expansions. By employing the ensemble-averaged classical path approximation, the method truncates the hierarchy at a lower level, cutting the number of auxiliary objects needed for simulations.

A key achievement is a five-fold reduction in the auxiliary objects required for open quantum system simulations. The method has been tested on the seven-site Fenna, Matthews, Olson (FMO) complex, a benchmark for evaluating accuracy in quantum energy transfer models. It also incorporates realistic, anharmonic environments, which are essential for studying many physical and chemical systems. The QC-HEOM approach enables efficient and precise modelling of energy and information transfer in complex quantum systems. Future work will aim to refine the method and expand its use to even more intricate systems. This advancement could significantly impact research in quantum physics and chemistry.