Quantum contextuality
Recently, quantum contextuality has been explored as a potential tool for quantum computing. In 2013, Robert Raussendorf showed that in general, any Mermin-like, inequality-free proof for quantum contextuality (such as the Kochen-Specker theorem) can be turned into a measurement-based quantum computation. More formally, "under quite natural assumptions for multi-qubit systems, MBQCs (measurement based quantum computations) which compute a non-linear Boolean function with sufficiently high success probability are contextual." Then in 2014, Mark Howard, et. al. showed that applying contextuality to magic state distillation (MSD) provides a means for arriving at universal, fault-tolerant quantum computing. MSD is a process by which a single qubit's polarization is increased along one of several "magic" directions and its state is considered "magic" once its polarization reaches a certain level. In particular, the group proved that states are non-contextual if and only if they cannot be used as inputs for magic state distillation. This provides a selection criteria for proper input states needed in MSD, and by extension aids in the efficient creation of magic states that, when coupled with fault-tolerant operators, allows for universal quantum computing. In both cases, contextuality has a potential advantage over other quantum computational techniques since contextuality itself can be thought of as a theory of information that is built directly into quantum mechanics. Comparatively, more traditional quantum phenomena such as entanglement and interference use delicate physical states which are incredibly susceptible to noise and very difficult to manipulate experimentally.
Florian Neukart
His research continues to attract considerable public international attention and earned him numerous speaking invitations on both conferences and more private venues. He was one of the first researchers to propose and implement quantum neural networks. He is a pioneer in applied quantum computing and among the first ones to solve real-world problems of society and environment by means of quantum computing. He was the first one to have introduced practical quantum computing in academic education worldwide. He currently works as Principal Scientist at Volkswagen Group of America and visiting scientist and lecturer in the field of quantum computing at the University of Leiden. He was named by the IEEE Computer Society as one of the leading experts in predictive analytics. Neukart was awarded by the Science Park Austria for his work in biologically-inspired artificial intelligence software.