462 citations · 4.5k across the 108 of their papers we have counts for
5 papers · 1 filter
Quantum-enhanced machine learning
Vedran Dunjko, Jacob M. Taylor, Hans J. Briegel
The emerging field of quantum machine learning has the potential to substantially aid in the problems and scope of artificial intelligence. This is only enhanced by recent successe…
Flexible resources for quantum metrology
Nicolai Friis, Davide Orsucci, Michalis Skotiniotis +4
Quantum metrology offers a quadratic advantage over classical approaches to parameter estimation problems by utilizing entanglement and nonclassicality. However, the hurdle of actu…
Entanglement generation secure against general attacks
Alexander Pirker, Vedran Dunjko, Wolfgang Dür +1
We present a security proof for establishing private entanglement by means of recurrence-type entanglement distillation protocols over noisy quantum channels. We consider protocols…
Blind quantum computing with two almost identical states
Vedran Dunjko, Elham Kashefi
The question of whether a fully classical client can delegate a quantum computation to an untrusted quantum server while fully maintaining privacy (blindness) is one of the big ope…
Meta-learning within Projective Simulation
Adi Makmal, Alexey A. Melnikov, Vedran Dunjko +1
Learning models of artificial intelligence can nowadays perform very well on a large variety of tasks. However, in practice different task environments are best handled by differen…