The first paper is in Physical Review D journals.aps.org/prd/abstract... and the second in the Journal of Artificial Intelligence doi.org/10.1016/j.ar....

Double feature alert 🚨 My two papers “Harvesting contextuality from the vacuum” and “Multi-excitation projective simulation with a many-body physics-inspired inductive bias” were both accepted and published! They are both open access so check them out if you are interested; links below.

Harvesting Contextuality from the Vacuum Quantum contextuality is the notion that certain measurement scenarios do not admit a global description of their statistics and has been implicated as the source of quantum advantage in a number of q...

Check out my most recent preprint: “Harvesting Contextuality from the Vacuum.” In it I show that relativistic Unruh-DeWitt qutrits can extract quantum contextuality from the vacuum of a quantum field while being part of a qubit-qutrit system that also harvests entanglement!

arxiv.org/abs/2508.11773

Recently my colleague and I were interviewed by a journalist at New Scientist who wrote the piece below on our latest paper “Universal Quantum Computer from Relativistic Motion.” Check it out if you are interested, as well as our paper in Physical Review Letters: journals.aps.org/prl/abstract...

We can build quantum computers using the rules of special relativity

Machine learning helped researchers describe a new kind of quantum computer that harnesses the odd effects of Einstein’s special relativity – and it could also lead to new insights into the quantum realm