activity
20212026
most citedLearning feedback control strategies for quantum metrology

52 citations · 57 across the 5 of their papers we have counts for

collaborators

5 papers

physics.chem-ph2026

Data-Efficient Active Learning Discovery of Transition Metal Photosensitizers for Type I Photodynamic Therapy

Alessio Fallani, Pi A. B. Haase, Julianne F. F. Eckert +4

Transition-metal complexes (TMCs) are promising photosensitizers for Type~I photodynamic therapy (PDT), where electron-transfer processes can generate reactive oxygen species under…

cs.LG2024

Pretraining Graph Transformers with Atom-in-a-Molecule Quantum Properties for Improved ADMET Modeling

Alessio Fallani, Ramil Nugmanov, Jose Arjona-Medina +3

We evaluate the impact of pretraining Graph Transformer architectures on atom-level quantum-mechanical features for the modeling of absorption, distribution, metabolism, excretion,…

physics.chem-ph2023★ 3 cited

Enabling Inverse Design in Chemical Compound Space: Mapping Quantum Properties to Structures for Small Organic Molecules

Alessio Fallani, Leonardo Medrano Sandonas, Alexandre Tkatchenko

Computer-driven molecular design combines the principles of chemistry, physics, and artificial intelligence to identify novel chemical compounds and materials with desired properti…

quant-ph2023★ 2 cited

Modeling Non-Covalent Interatomic Interactions on a Photonic Quantum Computer

Matthieu Sarkis, Alessio Fallani, Alexandre Tkatchenko

Non-covalent interactions are a key ingredient to determine the structure, stability, and dynamics of materials, molecules, and biological complexes. However, accurately capturing…

quant-ph2021★ 52 cited

Learning feedback control strategies for quantum metrology

Alessio Fallani, Matteo A. C. Rossi, Dario Tamascelli +1

We consider the problem of frequency estimation for a single bosonic field evolving under a squeezing Hamiltonian and continuously monitored via homodyne detection. In particular,…