Michael de Oliveira

I am a Ph.D. student at the International Iberian Nanotechnology Laboratory and a member of the Edinburgh & Paris Quantum Virtual Lab, currently visiting the Computer Lab of Paris 6 (Lip6). My research focuses on quantum computation and information. I am especially interested in the distinctions between quantum and classical computations/processes.

Selected Publications

Quantum advantage in temporally flat measurement-based quantum computation. Measurement-based quantum computation does allow the execution of arbitrary quantum computation resorting “solely” to highly entangled quantum states and sequentially adapted measurements. However, adapting measurements is still of great difficulty or even impossible for most quantum computers and their physical platforms. Here we study the setting of computations realizable without this adaptive process. Identify a quantum over classical advantage for a specific decision problem concerning a very general class of circuits, generating a white-box separation.

Quantum Bayesian decision making. Generally, any definition of an intelligent agent imposes that it should be able to make decisions and actions independently. Therefore, intelligent agents are programmed such that they attempt to select optimal or suboptimal actions. For that, various models and computational techniques are employed. Here we combine a quantum mechanical representation of the agent’s knowledge with a non-trivial use of a quantum search algorithm to define a new algorithm for static decision-making processes.

Other pages

curriculum vitae

linkedin

google scholar

Contacts

michael.oliveira@inl.int