activity
20152017
most citedMachine learning \& artificial intelligence in the quantum domain

43 citations · 67 across the 3 of their papers we have counts for

collaborators

7 papers

quant-ph201743 cited

Machine learning \& artificial intelligence in the quantum domain

Vedran Dunjko, Hans J. Briegel

Quantum information technologies, and intelligent learning systems, are both emergent technologies that will likely have a transforming impact on our society. The respective underl…

cs.RO201715 cited

Skill Learning by Autonomous Robotic Playing using Active Learning and Creativity

Simon Hangl, Vedran Dunjko, Hans J. Briegel +1

We treat the problem of autonomous acquisition of manipulation skills where problem-solving strategies are initially available only for a narrow range of situations. We propose to…

quant-ph2017

Long-range big quantum-data transmission

M. Zwerger, A. Pirker, V. Dunjko +2

We introduce an alternative type of quantum repeater for long-range quantum communication with improved scaling with the distance. We show that by employing hashing, a deterministi…

quant-ph2016

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…

cs.AI2016

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…

quant-ph20159 cited

On optimising quantum communication in verifiable quantum computing

Theodoros Kapourniotis, Vedran Dunjko, Elham Kashefi

In the absence of any efficient classical schemes for verifying a universal quantum computer, the importance of limiting the required quantum resources for this task has been highl…