QV Studio – Validate 2026 – Sanjeet

We are currently working towards harnessing the power of quantum computing in addition to the classical computing methods to characterize the battery materials. With ever-increasing demand for sustainable materials, quantum computing can help us to model the molecular interactions in these materials with unprecedented accuracy and thus accelerate the design of novel materials which finds application in more efficient and durable batteries. Physically designing and performing experiments on molecules is both slow and expensive and hence quantum computation and other allied simulation techniques becomes the need of the hour. We tend to assist the material industry by giving a firsthand knowledge of the material property, the undergoing chemistry between the different chemicals present in the system for example how lithium compounds react with the electrolyte and electrodes present in the battery. In this way we can be involved with our industrial partners in expediting the process of selection of new materials, modelling the key chemical phenomena, mapping and enhancing the desired properties. Currently, our focus is on the lithium-ion batteries, and sodium-ion batteries. However, the quantum algorithm and solver we are working on transcends to solving and successful modelling of the material properties in general.

Faculty Supervisor:

Armand Soldera

Student:

Partner:

QV Studio

Discipline:

Engineering

Sector:

Public administration

University:

Université de Sherbrooke

Program: