Dec '21: paper "Parametrized quantum policies
for reinforcement learning" (published version, arXiv), the first to prove classical/quantum learning separations in reinforcement learning with classical environments
is published in NeurIPS '21.
Dec '21: paper "Parametrized quantum policies
for reinforcement learning" (published version, arXiv), the first to prove classical/quantum learning separations in reinforcement learning with classical environments
is published in NeurIPS '21.
Dec '21: paper "Reinforcement learning for optimization of variational quantum circuit architectures" (published version, arXiv), where reinforcement learning designs suitable circuits,
is published in NeurIPS '21.
Mar '21: paper "Experimental speed-up up in reinforcement learning agents" (published version, arXiv) done in
an international collaboration with a number of universities, institutes and companies is published in Nature.
Feb '19: paper "Active
learning machine learns to create new quantum experiments" (published version, arXiv) done in
collaboration with amazing colleagues at University of Innsbruck and
IQOQI and University of Vienna awarded the Proceedings of the National
Academy of Sciences Cozzarelli Prize.
Full list of publications (52 published + 11 pre-prints) can be downloaded here.
All my publications are available on arXiv, and scientometrics can be found on my google scholar pages.
You can download my (relatively recent) CV
here.