Contents/conteúdo

Quantum Computation and Information Seminar   RSS

06/07/2016, 10:00 — 11:00 — Room P3.10, Mathematics Building
, University of the Basque Country

From Quantum Memristors to Neuromorphic Quantum Computing

Technology based on memristors, resistors with memory whose resistance depends on the hist ory of the crossing charges, has lately enhanced the classical paradigm of computation with neuromorphic architectures. However, in contrast to the known quantized models of passive circuit elements, such as inductors, capacitors or resistors, the design and realization of a quantum memristor was still missing. Here, we introduce the concept of a quantum memristor as a quantum dissipative device, whose decoherence mechanism is controlled by a continuous-measurement feedback scheme, which accounts for the memory. Indeed, we provide numerical simulations showing that memory effects actually persist in the quantum regime. Our quantization method, specifically designed for superconducting circuits, may be extended to other quantum platforms, allowing for memristor-type constructions in different quantum technologies. The proposed quantum memristor is then, in the framework of quantum biomimetics, a building block for quantum neural network, quantum machine learning, quantum simul ations of non-Markovian systems and, in the long term, neuromorphic quantum computation.

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Supported by: Phys-Info (IT), SQIG (IT), CeFEMA and CAMGSD, with funding from FCT, FEDER and EU FP7, specifically through the Doctoral Programme in the Physics and Mathematics of Information (DP-PMI), FCT strategic projects PEst-OE/EEI/LA0008/2013 and UID/EEA/50008/2013, IT project QuSim, project CRUP-CPU CQVibes, the FP7 Coordination Action QUTE-EUROPE (600788), and the FP7 projects Landauer (GA 318287) and PAPETS (323901).

Instituto de TelecomunicaçõesCAMGSDFCT7th Framework Programme