Complementary relation of quantum coherence and quantum correlations in multiple measurements.

Quantum coherence and quantum correlations lie in the center of quantum information science, since they both are considered as fundamental reasons for significant features of quantum mechanics different from classical mechanics. We present a group of complementary relations for quantum coherence and quantum correlations; specifically, we focus on thermal discord and conditional information in scenarios of multiple measurements. We show that the summation of quantum coherence quantified in different bases has a lower bound, resulting from entropic uncertainty relations with multiple measurements. Similar results are also obtained for thermal discord and for post-measurement conditional information with multiple measurements in a multipartite system. These results indicate the general applications of the uncertainty principle to various concepts of quantum information.

Investigating disordered many-body system with entanglement in momentum space.

We study the entanglement in momentum space of the ground state of a disordered one-dimensional fermion lattice model with attractive interaction. We observe two components in the entanglement spectrum, one of which is related to paired-fermion entanglement and contributes to the long-range correlation in position space. The vanishing point of it indicates the localization phenomenon in the ground state of this model. Additionally, by method of entanglement spectrum, we provide a new evidence to show the transition of two phases induced by interaction, and find that this phase transition is not influenced by the disorder. Our result show key characteristics in entanglement for different phases in the system, and provide a novel perspective to understand localization phenomena.

Expected number of quantum channels in quantum networks.

Quantum communication between nodes in quantum networks plays an important role in quantum information processing. Here, we proposed the use of the expected number of quantum channels as a measure of the efficiency of quantum communication for quantum networks. This measure quantified the amount of quantum information that can be teleported between nodes in a quantum network, which differs from classical case in that the quantum channels will be consumed if teleportation is performed. We further demonstrated that the expected number of quantum channels represents local correlations depicted by effective circles. Significantly, capacity of quantum communication of quantum networks quantified by ENQC is independent of distance for the communicating nodes, if the effective circles of communication nodes are not overlapped. The expected number of quantum channels can be enhanced through transformations of the lattice configurations of quantum networks via entanglement swapping. Our results can shed lights on the study of quantum communication in quantum networks.

Fitting magnetic field gradient with Heisenberg-scaling accuracy.

The linear function is possibly the simplest and the most used relation appearing in various areas of our world. A linear relation can be generally determined by the least square linear fitting (LSLF) method using several measured quantities depending on variables. This happens for such as detecting the gradient of a magnetic field. Here, we propose a quantum fitting scheme to estimate the magnetic field gradient with N-atom spins preparing in W state. Our scheme combines the quantum multi-parameter estimation and the least square linear fitting method to achieve the quantum Cramér-Rao bound (QCRB). We show that the estimated quantity achieves the Heisenberg-scaling accuracy. Our scheme of quantum metrology combined with data fitting provides a new method in fast high precision measurements.

Pathologic bacterial distribution and antibiotic resistance in induced sputum of infants aged from 1 to 3 months with lower respiratory tract infection / 中国当代儿科杂志

<p><b>OBJECTIVE</b>To investigate the pathologic bacterial distribution and their antibiotic resistance in infants aged from 1 to 3 months with lower respiratory tract infection, so as to provide instructions for clinical application of antibiotics.</p><p><b>METHODS</b>Induced sputum was extracted from 622 cases of hospitalized infants aged from 1 to 3 months with lower respiratory tract infection between January 2013 and December 2013, and microbial sensitivity test was performed with agar diffusion sensitivity test.</p><p><b>RESULTS</b>A total of 379 (60.9%) strains of bacteria were isolated from induced sputum in the 622 infants. The Gram-negative strains were detected in 325 strains (85.8%), and the Gram-positive strains were found in 50 strains (13.2%) in the 379 strains. The others were Fungal strains (4 strains, 1.1%). The Gram-negative bacteria included Escherichia coli (31.1%) and Klebsiella pneumoniae (18.2%), with extended-spectrum β-lactamases (ESBLs) production of 48.3% and 52.2% respectively. The average rate of antibiotic resistance for ESBLs-producing bacteria was 53%. ESBLs-producing bacteria were highly resistant (100%) to ampicillin and cefotaxime, but sensitive to carbapenems. Staphylococcus aureus (10.0%) was the dominant bacteria in Gram-positive bacteria. A lower proportion of methicillin-resistant Staphylococcus aureus (1.8%) was observed, however the resistance rate of methicillin-resistant Staphylococcus aureus to β-lactam antibiotics were 100%.</p><p><b>CONCLUSIONS</b>Escherichia coli and Klebsiella pneumoniae are the main pathogenic bacteria causing lower respiratory tract infection in infants aged from 1 to 3 months. ESBLs-producing bacteria accounted for over 48%, and the antibiotic resistance rate were more than 53% in these infants. These results provide a basis for the first empirical clinical use of antimicrobial in infants with lower respiratory tract infection.</p>