Dennis Lucarelli

TL;DR: A class of synchronization protocols for dense, large-scale sensor networks is presented that converge to a synchronized state based on the local communication topology of the sensor network only, thereby lifting the all-to-all communication requirement implicit in [5, 6].

TL;DR: A new approach to decentralized adaptive scheduling is presented, using recent results on the control of consensus variables in graphs with nearest-neighbour communication topologies to choose task timings to be the consensus variable in the system.

TL;DR: D discrete prolate spheroidal sequences are exploited to synthesize provably optimal narrowband controls ideally suited to spectral estimation of a qubit’s noisy environment, and classical multitaper techniques for spectral analysis can be ported to the quantum domain and combined with Bayesian estimation tools to experimentally reconstruct complex noise spectra.

TL;DR: In this article, a gradient ascent method for optimal quantum control synthesis is presented that employs a gradient derived with respect to the coefficients of a functional basis expansion of the control, restricting the space of allowable controls to weighted sums of the Slepian sequences efficiently parametrizes the control in terms of bandwidth, resolution and pulse duration.

TL;DR: In this paper, the authors reviewed fundamental results on controllability of a quantum system subject to external fields against the background of recent ideas and advances in two seemingly disparate endeavours: (i) laser control of chemical reactions and (ii) quantum computation.