117 research outputs found
Resolution and sensitivity of a Fabry-Perot interferometer with a photon-number-resolving detector
With photon-number resolving detectors, we show compression of interference
fringes with increasing photon numbers for a Fabry-Perot interferometer. This
feature provides a higher precision in determining the position of the
interference maxima compared to a classical detection strategy. We also
theoretically show supersensitivity if N-photon states are sent into the
interferometer and a photon-number resolving measurement is performed.Comment: 8 pages, 12 figures, 1 table, minor extensions, title changed, new
figures added, reference correcte
Validation of Ray-tracing Simulated Channels for Massive MIMO Systems at Millimeter-wave Bands
Employing large-scale antenna configuration is seenas a key enabling radio technology for 5G and beyondcommunication systems. This work presents validation of ahome-developed ray tracing (RT) tool for massive multipleinputmultiple-output (MIMO) system in the millimeter-wave(mmWave) frequency bands. For this purpose, a channel soundingcampaign in an indoor entrance scenario using a massiveMIMO systems based on virtual array concept is presented. Thechannel measurement of 6 GHz bandwidth (26.5-32.5 GHz) isfirst demonstrated, with a virtual uniform circular array (UCA)consisting of 720 antenna elements located at the transmitterposition on the turntable and one antenna at the receiverposition. The impact of order of interactions e.g. reflections anddiffractions on the channel impulse responses (CIRs) is analyzedin the RT simulation. The comparison between RT simulated andmeasured results shows a reasonable level of agreement
Experimental Bounds on Classical Random Field Theories
Alternative theories to quantum mechanics motivate important fundamental
tests of our understanding and descriptions of the smallest physical systems.
Here, using spontaneous parametric downconversion as a heralded single-photon
source, we place experimental limits on a class of alternative theories,
consisting of classical field theories which result in power-dependent
normalized correlation functions. In addition, we compare our results with
standard quantum mechanical interpretations of our spontaneous parametric
downconversion source over an order of magnitude in intensity. Our data match
the quantum mechanical expectations, and do not show a statistically
significant dependence on power, limiting on quantum mechanics alternatives
which require power-dependent autocorrelation functions.Comment: 11pages, 2 figure
MoVideo: Motion-Aware Video Generation with Diffusion Models
While recent years have witnessed great progress on using diffusion models
for video generation, most of them are simple extensions of image generation
frameworks, which fail to explicitly consider one of the key differences
between videos and images, i.e., motion. In this paper, we propose a novel
motion-aware video generation (MoVideo) framework that takes motion into
consideration from two aspects: video depth and optical flow. The former
regulates motion by per-frame object distances and spatial layouts, while the
later describes motion by cross-frame correspondences that help in preserving
fine details and improving temporal consistency. More specifically, given a key
frame that exists or generated from text prompts, we first design a diffusion
model with spatio-temporal modules to generate the video depth and the
corresponding optical flows. Then, the video is generated in the latent space
by another spatio-temporal diffusion model under the guidance of depth, optical
flow-based warped latent video and the calculated occlusion mask. Lastly, we
use optical flows again to align and refine different frames for better video
decoding from the latent space to the pixel space. In experiments, MoVideo
achieves state-of-the-art results in both text-to-video and image-to-video
generation, showing promising prompt consistency, frame consistency and visual
quality.Comment: project homepage: https://jingyunliang.github.io/MoVide
Measurement uncertainty relation for three observables
In this work we establish rigorously a measurement uncertainty relation (MUR)
for three unbiased qubit observables, which was previously shown to hold true
under some presumptions. The triplet MUR states that the uncertainty, which is
quantified by the total statistic distance between the target observables and
the jointly implemented observables, is lower bounded by an incompatibility
measure that reflects the joint measurement conditions. We derive a necessary
and sufficient condition for the triplet MUR to be saturated and the
corresponding optimal measurement. To facilitate experimental tests of MURs we
propose a straightforward implementation of the optimal joint measurements. The
exact values of incompatibility measure are analytically calculated for some
symmetric triplets when the corresponding triplet MURs are not saturated. We
anticipate that our work may enrich the understanding of quantum
incompatibility in terms of MURs and inspire further applications in quantum
information science. This work presents a complete theory relevant to a
parallel work [Y.-L. Mao, et al., Testing Heisenberg's measurement uncertainty
relation of three observables, arXiv:2211.09389] on experimental tests.Comment: arXiv admin note: substantial text overlap with arXiv:2211.0938
Certifying randomness in quantum state collapse
The unpredictable process of state collapse caused by quantum measurements
makes the generation of quantum randomness possible. In this paper, we explore
the quantitive connection between the randomness generation and the state
collapse and provide a randomness verification protocol under the assumptions:
(I) independence between the source and the measurement devices and (II) the
L\"{u}ders' rule for collapsing state. Without involving heavy mathematical
machinery, the amount of genereted quantum randomness can be directly estimated
with the disturbance effect originating from the state collapse. In the
protocol, we can employ general measurements that are not fully trusted.
Equipped with trusted projection measurements, we can further optimize the
randomness generation performance. Our protocol also shows a high efficiency
and yields a higher randomness generation rate than the one based on
uncertainty relation. We expect our results to provide new insights for
understanding and generating quantum randomnes
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