Learning in quantum control: High-dimensional global optimization for noisy quantum dynamics
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.12.087
Abstract: Abstract Quantum control is valuable for various quantum technologies such as high-fidelity gates for universal quantum computing, adaptive quantum-enhanced metrology, and ultra-cold atom manipulation. Although supervised machine learning and reinforcement learning are widely used for… read more here.
Keywords: noisy; quantum; greedy algorithms; quantum control ... See more keywords
Greedy algorithms for diffuse optical tomography reconstruction
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DOI: 10.1016/j.optcom.2017.09.056
Abstract: Abstract Diffuse optical tomography (DOT) is a noninvasive imaging modality that reconstructs the optical parameters of a highly scattering medium. However, the inverse problem of DOT is ill-posed and highly nonlinear due to the zig-zag… read more here.
Keywords: greedy algorithms; diffuse optical; matching pursuit; optical tomography ... See more keywords
Concurrently Wireless Charging Sensor Networks with Efficient Scheduling
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2016.2624731
Abstract: Wireless charging technology is considered as a promising solution to address the energy limitation problem for wireless sensor networks (WSNs). In scenarios where the deployed chargers are static, we generally require a number of chargers… read more here.
Keywords: greedy algorithms; charging sensor; sensor networks; sensor ... See more keywords