Stefano Pirandola

TL;DR: In this paper, two bacteria (E coli and Salmonella) growing in a Luria Bertani broth and monitored by classical spectrophotometers were investigated and the superiority and limits of quantum resources in two basic tasks: (i) early detection of bacterial growth and (ii) early discrimination between two bacteria species.

TL;DR: In this paper, the authors consider the collective eavesdropping of the BB84 and six-state protocols and show how these symmetric collective attacks are sufficiently strong in order to minimize the Devetak-Winter rates.

TL;DR: In this article, it was shown that the rate of heat transfer between two quantum systems at different temperatures is directly proportional to the instantaneous rate of increase of diagonal/energetic discord between the systems.

Abstract: We consider quantum discrimination of bosonic loss based on both symmetric and asymmetric hypothesis testing. In both approaches, an entangled resource is able to outperform any classical strategy based on coherent-state transmitters in the regime of low photon numbers. In the symmetric case, we then consider the low energy detection of bacterial growth in culture media. Assuming an exponential growth law for the bacterial concentration and the Beer-Lambert law for the optical transmissivity of the sample, we find that the use of entanglement allows one to achieve a much faster detection of growth with respect to the use of coherent states. This performance is also studied by assuming an exponential photo-degradable model, where the concentration is reduced by increasing the number of photons irradiated over the sample. This investigation is then extended to the readout of classical information from suitably-designed photo-degradable optical memories.

TL;DR: In this paper, the authors consider the convergence properties of the Braunstein-Kimble protocol under various topologies (strong, uniform, and bounded-uniform) and show that the teleportation simulation of an arbitrary single-mode Gaussian channel is uniformly convergent to the channel if and only if its noise matrix has full rank.