174 research outputs found
Measurement of classical entanglement using interference fringes
Abstract Classical entanglement refers to non-separable correlations between
the polarization direction and the polarization amplitude of a light field. The
degree of entanglement is quantified by the Schmidt number, taking the value of
unity for a separable state and two for a maximally entangled state. We propose
two detection methods to determine this number based on the distinguishable
patterns of interference between four light sources derived from the unknown
laser beam to be detected. The second method being a modification of the first
one has the interference fringes form discernable angles uniquely related to
the entangled state. The maximally entangled state corresponds to fringes
symmetric about the diagonal axis at either 45{\deg} or 135{\deg} direction
while the separable state corresponds to fringes symmetric either about the X-
or Y-axis or both simultaneously. States with Schmidt number between unity and
two have fringes of symmetric angles between these two extremes. The detection
methods would be beneficial to constructing transmission channels of
information contained in the classically entangled states
Converting beam polarizations into entanglement and classical correlation
The nonclassicality of a macroscopic single-mode optical superposition state
is potentially convertible into entanglement, when the state is mixed with the
vacuum on a beam splitter. Considering light beams with polarization degree of
freedom in Euclidean space as coherent product states in a bipartite Hilbert
space, we propose a method to convert the polarization amplitudes into
entanglement and classical correlation through generating nonclassicality in
the superpositions of coherent and displaced Fock states. Equivalent Bell state
emerges from the resulted superpositions and the proportion of mixed
entanglement and correlation, quantified by the metric pair of negativity and
Schmidt number, is determined by the two displacements along the polarization
directions. We further characterize the constructed states with Wigner
functions and propose an experimental method for generating these states and
measuring them via homodyne tomography
Verification of {\Gamma} symmetry assignment for the top valence band of ZnO by magneto-optical studies of the free A exciton state
The circularly-polarized and angular-resolved magneto-photoluminescence
spectroscopy was carried out to study the free A exciton 1S state in wurtzite
ZnO at 5 K.Comment: 4 figures, 16 pages. arXiv admin note: substantial text overlap with
arXiv:0706.396
Computing Shor's algorithmic steps with classical light beams
When considered as orthogonal bases in distinct vector spaces, the unit
vectors of polarization directions and the Laguerre-Gaussian modes of
polarization amplitude are inseparable, constituting a so-called classical
entangled light beam. We apply this classical entanglement to demonstrate
theoretically the execution of Shor's factoring algorithm on a classical light
beam. The demonstration comprises light-path designs for the key algorithmic
steps of modular exponentiation and Fourier transform on the target integer 15.
The computed multiplicative order that eventually leads to the integer factors
is identified through a four-hole diffraction interference from sources
obtained from the entangled beam profile. We show that the fringe patterns
resulted from the interference are uniquely mapped to the sought-after order,
thereby emulating the factoring process originally rooted in the quantum
regime
Hierarchical chestnut-like MnCo2O4 nanoneedles grown on nickel foam as binder-free electrode for high energy density asymmetric supercapacitors
Hierarchical chestnut-like manganese cobalt oxide (MnCo2O4) nanoneedles (NNs) are successfully grown on nickel foam using a facile and cost-effective hydrothermal method. High resolution TEM image further verifies that the chestnut-like MnCo2O4 structure is assembled by numerous 1D MnCo2O4 nanoneedles, which are formed by numerous interconnected MnCo2O4 nanoparticles with grain diameter of ∼10 nm. The MnCo2O4 electrode exhibits high specific capacitance of 1535 F g−1 at 1 A g−1 and good rate capability (950 F g−1 at 10 A g−1) in a 6 M KOH electrolyte. An asymmetric supercapacitor is fabricated using MnCo2O4 NNs on Ni foam (MnCo2O4 NNs/NF) as the positive electrode and graphene/NF as the negative electrode. The device shows an operation voltage of 1.5 V and delivers a high energy density of ∼60.4 Wh kg−1 at a power density of ∼375 W kg−1. Moreover, the device exhibits an excellent cycling stability of 94.3% capacitance retention after 12000 cycles at 30 A g−1. This work demonstrates that hierarchical chestnut-like MnCo2O4 NNs could be a promising electrode for the high performance energy storage devices
Inspecting Model Fairness in Ultrasound Segmentation Tasks
With the rapid expansion of machine learning and deep learning (DL),
researchers are increasingly employing learning-based algorithms to alleviate
diagnostic challenges across diverse medical tasks and applications. While
advancements in diagnostic precision are notable, some researchers have
identified a concerning trend: their models exhibit biased performance across
subgroups characterized by different sensitive attributes. This bias not only
infringes upon the rights of patients but also has the potential to lead to
life-altering consequences. In this paper, we inspect a series of DL
segmentation models using two ultrasound datasets, aiming to assess the
presence of model unfairness in these specific tasks. Our findings reveal that
even state-of-the-art DL algorithms demonstrate unfair behavior in ultrasound
segmentation tasks. These results serve as a crucial warning, underscoring the
necessity for careful model evaluation before their deployment in real-world
scenarios. Such assessments are imperative to ensure ethical considerations and
mitigate the risk of adverse impacts on patient outcomes.Comment: Submitted to ISBI 202
An asymmetric supercapacitor with excellent cycling performance realized by hierarchical porous NiGa2O4 nanosheets
Rational design of composition and electrochemically favorable structure configuration of electrode materials are highly required to develop high-performance supercapacitors. Here, we report our findings on the design of interconnected NiGa2O4 nanosheets as advanced cathode electrodes for supercapacitors. Rietveld refinement analysis demonstrates that the incorporation of Ga in NiO leads to a larger cubic lattice parameter that promotes faster charge-transfer kinetics, enabling significantly improved electrochemical performance. The NiGa2O4 electrode delivers a specific capacitance of 1508 F g−1 at a current density of 1 A g−1 with the capacitance retention of 63.7% at 20 A g−1, together with excellent cycling stability after 10000 charge–discharge cycles (capacitance retention of 102.4%). An asymmetric supercapacitor device was assembled by using NiGa2O4 and Fe2O3 as cathode and anode electrodes, respectively. The ASC delivers a high energy density of 45.2 Wh kg−1 at a power density of 1600 W kg−1 with exceptional cycling stability (94.3% cell capacitance retention after 10000 cycles). These results suggest that NiGa2O4 can serve as a new class cathode material for advanced electrochemical energy storage applications
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