8,717 research outputs found
Complementary relations of entanglement, coherence, steering and Bell nonlocality inequality violation in three-qubit states
We put forward complementary relations of entanglement, coherence, steering
inequality violation, and Bell nonlocality for arbitrary three-qubit states. We
show that two families of genuinely entangled three-qubit pure states with
single parameter exist, and they exhibit maximum coherence and steering
inequality violation for a fixed amount of negativity, respectively. It is
found that the negativity is exactly equal to the geometric mean of bipartite
concurrences for the three-qubit pure states, although the negativity is always
less than or equal to the latter for three-qubit mixed states. Moreover, the
complementary relation between negativity and first-order coherence for
tripartite entanglement states are established. Furthermore, we investigate the
close relation between the negativity and the maximum steering inequality
violation. In addition, the complementary relation between negativity and the
maximum Bell-inequality violation for arbitrary three-qubit states is obtained.
The results provide reliable evidence of fundamental connections among
entanglement, coherence, steering inequality violation, and Bell nonlocality.Comment: 11 pages, 5 figure
Analysis of Pseudo-Random Number Generators in QMC-SSE Method
In the quantum Monte Carlo (QMC) method, the Pseudo-Random Number Generator
(PRNG) plays a crucial role in determining the computation time. However, the
hidden structure of the PRNG may lead to serious issues such as the breakdown
of the Markov process. Here, we systematically analyze the performance of the
different PRNGs on the widely used QMC method -- stochastic series expansion
(SSE) algorithm. To quantitatively compare them, we introduce a quantity called
QMC efficiency that can effectively reflect the efficiency of the algorithms.
After testing several representative observables of the Heisenberg model in one
and two dimensions, we recommend using LCG as the best choice of PRNGs. Our
work can not only help improve the performance of the SSE method but also shed
light on the other Markov-chain-based numerical algorithms.Comment: 5 pages, 1 figure, almost published version, comments are welcome and
more information at http://cqutp.org/users/xfzhang
Long-range dipole-dipole exchange-induced atomic grating
We propose a theoretical scheme for dipole exchange-induced grating (DEIG)
based on a hybrid system consisting of ultra-cold Rubidium (Rb) atomic
ensemble and movable Rydberg spin atoms. The optical response of the grating
appears as a superposition of three- and four-level configurations, similar to
the cooperative optical nonlinear effect caused by the dipole blockade effect.
However, such Rydberg atomic grating uniquely responds to the spatial positions
of spin atoms, offering a novel approach to dynamically control
electromagnetically induced gratings (EIG) except for input probe intensity
Resistance Assessment for Oxathiapiprolin in Phytophthora capsici and the Detection of a Point Mutation (G769W) in PcORP1 that Confers Resistance
The potential for oxathiapiprolin resistance in Phytophthora capsici was evaluated. The baseline sensitivities of 175 isolates to oxathiapiprolin were initially determinated and found to conform to a unimodal curve with a mean EC50 value of 5.61×10-4 μg/ml. Twelve stable oxathiapiprolin-resistant mutants were generated by fungicide adaption in two sensitive isolates, LP3 and HNJZ10. The fitness of the LP3-mutants was found to be similar to or better than that of the parental isolate LP3, while the HNJZ10-mutants were found to have lost the capacity to produce zoospores. Taken together these results suggest that the risk of P. capsici developing resistance to oxathiapiprolin is moderate. Comparison of the PcORP1 genes in the LP3-mutants and wild-type parental isolate, which encode the target protein of oxathiapiprolin, revealed that a heterozygous mutation caused the amino acid substitution G769W. Transformation and expression of the mutated PcORP1-769W allele in the sensitive wild-type isolate BYA5 confirmed that the mutation in PcORP1 was responsible for the observed oxathiapiprolin resistance. Finally diagnostic tests including As-PCR and CAPs were developed to detect the oxathiapiprolin resistance resulting from the G769W point mutation in field populations of P. capsici
Design of the Reverse Logistics System for Medical Waste Recycling Part I: System Architecture, Classification & Monitoring Scheme, and Site Selection Algorithm
With social progress and the development of modern medical technology, the
amount of medical waste generated is increasing dramatically. The problem of
medical waste recycling and treatment has gradually drawn concerns from the
whole society. The sudden outbreak of the COVID-19 epidemic further brought new
challenges. To tackle the challenges, this study proposes a reverse logistics
system architecture with three modules, i.e., medical waste classification &
monitoring module, temporary storage & disposal site selection module, as well
as route optimization module. This overall solution design won the Grand Prize
of the "YUNFENG CUP" China National Contest on Green Supply and Reverse
Logistics Design ranking 1st. This paper focuses on the description of
architectural design and the first two modules, especially the module on site
selection. Specifically, regarding the medical waste classification &
monitoring module, three main entities, i.e., relevant government departments,
hospitals, and logistics companies, are identified, which are involved in the
five management functions of this module. Detailed data flow diagrams are
provided to illustrate the information flow and the responsibilities of each
entity. Regarding the site selection module, a multi-objective optimization
model is developed, and considering different types of waste collection sites
(i.e., prioritized large collection sites and common collection sites), a
hierarchical solution method is developed employing linear programming and
K-means clustering algorithms sequentially. The proposed site selection method
is verified with a case study and compared with the baseline, it can immensely
reduce the daily operational costs and working time. Limited by length,
detailed descriptions of the whole system and the remaining route optimization
module can be found at https://shorturl.at/cdY59.Comment: 8 pages, 6 figures, submitted to and under review by the IEEE
Intelligent Vehicles Symposium (IV 2023
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