A New Quantum Computing Method Developed in Russia Is to Underpin Future IT Technologies
Researchers at Moscow State University have developed a new approach to analyzing quantum effects in nanostructures, laying a mathematical and computational foundation for next-generation digital technologies.
The new work by Russian scientists sits at the intersection of physics, computational modeling, and information technology. Researchers from the Faculty of Computational Mathematics and Cybernetics at Moscow State University have proposed a method based on mesoscopic theory and the discrete sources method. It makes it possible to model the behavior of electromagnetic fields in nanostructures while accounting for subtle quantum effects such as spatial nonlocality, electron cloud splitting, and Landau damping in pairs of gold nanoparticles. Traditional approaches to calculating these phenomena require vast computing resources and time, while the new method enables more accurate and efficient simulations.
Electrodynamics and Nanomaterials for Biosensors
The discrete sources method allows researchers to solve complex electrodynamics problems in nanostructures, taking into account both bulk and surface quantum effects. This is critical for accurately describing how light interacts with nanomaterials and, as a result, for designing devices that are sensitive to such interactions.
IT Systems in Medicine
The practical significance of this research extends well beyond fundamental physics. The ability to more precisely model the behavior of nanostructures opens new possibilities for nanobiosensors — devices that use light and quantum effects to detect biomolecules and disease markers. Such sensors could become part of digital medical diagnostic platforms, integrated with data-processing IT systems and artificial intelligence to interpret results in real time.
Digital Science
Beyond medical applications, methods for analyzing quantum effects are also essential for the development of nanophotonics, where computer modeling helps create miniature lasers, optical components, and sensors that exploit the quantum properties of light and matter. These fields are closely tied to IT tools — algorithms, simulators, and high-performance computing — that form the backbone of digital science and engineering.
In this sense, the proposed methodology illustrates how fundamental science underpins the development of new technologies.
