Understanding and predicting how electrons move inside atoms, molecules or materials is essential for the development of clean-energy technologies, photovoltaic devices, efficient catalysts, and emerging quantum technologies. Many of these processes happen on attosecond to femtosecond timescales and require theoretical tools that can describe fast, correlated electronic motion accurately and at a feasible computational cost.
Today, the most widely used method for electronic-structure simulations is Density Functional Theory (DFT), and its time-dependent extension (TDDFT). While highly successful, standard approximations often fail in situations where electronic motion is strongly correlated—such as molecular dissociation, charge transfer, ionization, and relaxation of electronically excited states. In these scenarios, key features of the exact Kohn–Sham potential, such as peaks and steps, are essential for a correct description but are not captured by existing approximations.
The QT-DFT project set out to address these long-standing challenges by combining insights from two powerful theoretical frameworks:
Exact Factorization, which provides a rigorous way to separate parts of a many-electron wavefunction and identify the potentials that govern electronic dynamics; and
Trajectory-based quantum algorithms, originally developed for electron–nuclear coupled motion, adapted here to the purely electronic problem.
The project pursued three overarching objectives:
(O1) Develop a new density-functional approximation able to capture peaks and steps in the Kohn–Sham potential during bond breaking.
(O2) Explore, for the first time, the electronic vector potential arising from the factorization of complex electronic wavefunctions, a quantity expected to play an essential role in excited-state dynamics.
(O3) Extend a state-of-the-art mixed quantum–classical algorithm so that it can be applied directly to electrons, opening a new pathway to simulate ultrafast purely electronic processes.
By improving our ability to simulate excited-state phenomena central to photochemistry, attosecond spectroscopy, and quantum materials, the project contributes to EU priorities in sustainable energy, advanced materials, and next-generation digital technologies.