59 research outputs found
Revealing nonclassicality beyond Gaussian states via a single marginal distribution
A standard method to obtain information on a quantum state is to measure
marginal distributions along many different axes in phase space, which forms a
basis of quantum state tomography. We theoretically propose and experimentally
demonstrate a general framework to manifest nonclassicality by observing a
single marginal distribution only, which provides a novel insight into
nonclassicality and a practical applicability to various quantum systems. Our
approach maps the 1-dim marginal distribution into a factorized 2-dim
distribution by multiplying the measured distribution or the vacuum-state
distribution along an orthogonal axis. The resulting fictitious Wigner function
becomes unphysical only for a nonclassical state, thus the negativity of the
corresponding density operator provides an evidence of nonclassicality.
Furthermore, the negativity measured this way yields a lower bound for
entanglement potential---a measure of entanglement generated using a
nonclassical state with a beam splitter setting that is a prototypical model to
produce continuous-variable (CV) entangled states. Our approach detects both
Gaussian and non-Gaussian nonclassical states in a reliable and efficient
manner. Remarkably, it works regardless of measurement axis for all
non-Gaussian states in finite-dimensional Fock space of any size, also
extending to infinite-dimensional states of experimental relevance for CV
quantum informatics. We experimentally illustrate the power of our criterion
for motional states of a trapped ion confirming their nonclassicality in a
measurement-axis independent manner. We also address an extension of our
approach combined with phase-shift operations, which leads to a stronger test
of nonclassicality, i.e. detection of genuine non-Gaussianity under a CV
measurement.Comment: 6 pages, 4 figures with Supplemental Informatio
Study on Mechanism Analysis of Skidding Prediction for Electric Vehicle Based on Time-Delay Effect of Force Transmission
The electric vehicle anti-skidding control system is used to ensure the stability of the vehicle under any circumstances. There is a typical feature in most anti-skidding detection methods; the skidding occurs first, and then the detection is performed. For methods that rely on slip rate detection, more accurate vehicle speeds are required, which are often difficult to accurately observe. The previous method was detection and could not do prediction. Skidding prediction can improve driver reaction time and increase safety. Therefore, this paper proposes a prediction method that does not depend on the slip rate. The skidding prediction can be performed by relying on the driving torque, as well as the wheel speed. In this paper, the characteristics of the transmission from the driving force to the friction force in the vehicle model are analyzed. As for the distributed electric vehicle, the slip factor was designed with traction torque and friction force for skidding prediction by its sharp increase before the maximum adhesion point. The variation in the slip factor and time period of skidding are revealed. A multi-information merged prediction model is designed to improve reliability. The co-simulation and experimental verification based on the physical skidding simulation platform are carried out
Theoretical Analysis of the Dynamic Properties of a 2-2 Cement-Based Piezoelectric Dual-Layer Stacked Sensor under Impact Load
Cement-based piezoelectric materials are widely used due to the fact that compared with common smart materials, they overcome the defects of structure-incompatibility and frequency inconsistency with a concrete structure. However, the present understanding of the mechanical behavior of cement-based piezoelectric smart materials under impact load is still limited. The dynamic characteristics under impact load are of importance, for example, for studying the anti-collision properties of engineering structures and aircraft takeoff-landing safety. Therefore, in this paper, an analytical model was proposed to investigate the dynamic properties of a 2-2 cement-based piezoelectric dual-layer stacked sensor under impact load based on the piezoelectric effect. Theoretical solutions are obtained by utilizing the variable separation and Duhamel integral method. To simulate the impact load and verify the theory, three types of loads, including atransient step load, isosceles triangle load and haversine wave load, are considered and the comparisons between the theoretical results, Li’s results and numerical results are presented by using the control variate method and good agreement is found. Furthermore, the influences of several parameters were discussed and other conclusions about this sensor are also given. This should prove very helpful for the design and optimization of the 2-2 cement-based piezoelectric dual-layer stacked sensor in engineering
Impact Mechanical Response of a 2-2 Cement-Based Piezoelectric Sensor Considering the Electrode Layer Effect
Cement-based piezoelectric composite, has been widely used as a kind of smart material in structural health monitoring and active vibration control. However, transient dynamic loads such as impact loads may cause serious damage to the composite. Considering the electrode layer effect, this paper aimed to investigate the theoretical response of a 2-2 cement-based piezoelectric composite sensor subjected to an impact load. The vibration behaviors are analyzed by using the mode summation method and the virtual work principle. To simulate the impact load, transient haversine wave loads are assumed in the numerical simulation. Close agreements between theoretical and numerical solutions are found for peak transient haversine wave loads larger than 500 kPa, therefore proving the validity of the theory. Moreover, the influence of the electrode material and geometrical parameters on the dynamic characteristics of this sensor are considered. The present work should be beneficial to the design of this kind of sensor by taking into account the electrode layer effect
Scaling of entangling-gate errors in large ion crystals
Trapped-ion has shown great advantages in building quantum computers. While
high fidelity entangling-gate has been realized for few ions, how to maintain
the high fidelity for large scale trapped-ions still remains an open
problem.Here, we present an analysis on arbitrary scale ion chain and focus on
motional-related errors, reported as one of the leading error sources in
state-of-the-art experiments. We theoretically analyze two-qubit
entangling-gate infidelity in a large ion crystal. To verify our result, we
develop an efficient numerical simulation algorithm that avoids exponential
increases of the Hilbert space dimension. For the motional heating error, We
derive a much tighter bound of gate infidelity than previously estimated
, and we give an intuitive understanding from the trajectories
in the phase space of motional modes. Our discoveries may inspire the scheme of
pulse design against incoherent errors and shed light on the way toward
constructing scalable quantum computers with large ion crystals.Comment: 17 pages, 7 figure
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