1,270 research outputs found
Scalable Bell inequalities for multiqubit systems
Based on Clauser-Horner-Shimony-Holt inequality, we show a fruitful method to
exploit Bell inequalities for multipartite qubit systems. These Bell
inequalities are designed with a simpler architecture tailored to experimental
demonstration. Under the optimal setting we derive a set of compact Mermin-type
inequalities and discuss quantum violations for generalized
Greenberger-Horne-Zeilinger (GGHZ) states. Also, we reveal relationship between
quantum nonlocality and four-partite entanglement for four-qubit GGHZ states.Comment: 4 pages, 1 figur
Onsite data processing and monitoring for the Daya Bay Experiment
The Daya Bay Reactor Neutrino Experiment started running on September 23,
2011. The offline computing environment, consisting of 11 servers at Daya Bay,
was built to process onsite data. With current computing ability, onsite data
processing is running smoothly. The Performance Quality Monitoring system (PQM)
has been developed to monitor the detector performance and data quality. Its
main feature is the ability to efficiently process multi-data-stream from three
experimental halls. The PQM processes raw data files from the Daya Bay data
acquisition system, generates and publishes histograms via a graphical web
interface by executing the user-defined algorithm modules, and saves the
histograms for permanent storage. The fact that the whole process takes only
around 40 minutes makes it valuable for the shift crew to monitor the running
status of all the sub-detectors and the data quality
Evaluating the Performance of Large Language Models on GAOKAO Benchmark
Large language models have demonstrated remarkable performance across various
natural language processing tasks; however, their efficacy in more challenging
and domain-specific tasks remains less explored. This paper introduces the
GAOKAO-Benchmark (GAOKAO-Bench), an intuitive benchmark that employs questions
from the Chinese Gaokao examination as test samples for evaluating large
language models.In order to align the evaluation results with humans as much as
possible, we designed a method based on zero-shot prompts to analyze the
accuracy and scoring rate of the model by dividing the questions into
subjective and objective types. We evaluated the ChatGPT model on
GAOKAO-Benchmark performance.Our findings reveal that the ChatGPT model excels
in tackling objective questions, while also shedding light on its shortcomings
and areas for improvement. To further scrutinize the model's responses, we
incorporate human evaluations.In conclusion, this research contributes a robust
evaluation benchmark for future large-scale language models and offers valuable
insights into the limitations of such models
Enhancement of Drought Tolerance in Trifoliate Orange by Mycorrhiza: Changes in Root Sucrose and Proline Metabolisms
Sucrose and proline metabolisms are often associated with drought tolerance of plants. This study was conducted to investigate the effects of two arbuscular mycorrhizal fungi (AMF) species (Funneliformis mosseae and Paraglomus occultum) on root biomass, lateral root number, root sucrose and proline metabolisms in trifoliate orange (Poncirus trifoliata) seedlings under well-watered (WW) or drought stress (DS). All the AMF treatments significantly increased root dry weight, taproot length, and the number of lateral roots in 1st, 2nd, and 3rd class under WW and DS. Mycorrhizal seedlings conferred considerably higher fructose and glucose concentrations but lower sucrose accumulation, regardless of soil water status. Under DS, F. mosseae treatment significantly increased root sucrose synthase (SS, degradative direction) and sucrose phosphate synthase (SPS) activity but deceased root acid invertase (AI) and neutral invertase (NI) activity, and P. occultum inoculation markedly increased root AI, NI, SS, and SPS activities. AMF treatments led to a lower proline accumulation in roots, in company with lower activities of Δ1-pyrroline-5-carboxylate synthetase (P5CS), δ-ornithine aminotransferase (OAT), Δ1-pyrroline-5-carboxylate reductase (P5CR), and proline dehydrogenase (ProDH) in roots. It appears that the AM symbiosis induced greater root development and sucrose and proline metabolisms to adapt DS
A scalable tripartite Wigner's friend scenario
Wigner's friend thought experiment is intended to reveal the inherent tension
between unitary evolution and measurement collapse. On the basis of Wigner's
friend experiment, Brukner derives a no-go theorem for observer-independent
facts. We construct an extended Wigner's friend scenario including three
laboratories, namely, Alice's laboratory, Bob's laboratory and Charlie's
laboratory, where Alice, Bob and Charlie are standing outside the laboratories
while their friends are placed inside their own laboratories. We consider
quantum simulation via Q\# quantum programming and also realize the primary
quantum circuits using IBM quantum computers. Then, we calculate the
probabilities and corresponding statistical uncertainties. It has been shown
that the results of quantum simulation are clearly consistent with theoretical
values, while it has a slightly higher error rates for the experimental results
of quantum computers mainly because of a series of quantum gates, especially
CNOT gates.Comment: 8 pages, 8 figure
FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling
With the availability of large-scale video datasets and the advances of
diffusion models, text-driven video generation has achieved substantial
progress. However, existing video generation models are typically trained on a
limited number of frames, resulting in the inability to generate high-fidelity
long videos during inference. Furthermore, these models only support
single-text conditions, whereas real-life scenarios often require multi-text
conditions as the video content changes over time. To tackle these challenges,
this study explores the potential of extending the text-driven capability to
generate longer videos conditioned on multiple texts. 1) We first analyze the
impact of initial noise in video diffusion models. Then building upon the
observation of noise, we propose FreeNoise, a tuning-free and time-efficient
paradigm to enhance the generative capabilities of pretrained video diffusion
models while preserving content consistency. Specifically, instead of
initializing noises for all frames, we reschedule a sequence of noises for
long-range correlation and perform temporal attention over them by window-based
function. 2) Additionally, we design a novel motion injection method to support
the generation of videos conditioned on multiple text prompts. Extensive
experiments validate the superiority of our paradigm in extending the
generative capabilities of video diffusion models. It is noteworthy that
compared with the previous best-performing method which brought about 255%
extra time cost, our method incurs only negligible time cost of approximately
17%. Generated video samples are available at our website:
http://haonanqiu.com/projects/FreeNoise.html.Comment: Project Page: http://haonanqiu.com/projects/FreeNoise.html Code Repo:
https://github.com/arthur-qiu/LongerCrafte
Finding Complex Biological Relationships in Recent PubMed Articles Using Bio-LDA
The overwhelming amount of available scholarly literature in the life
sciences poses significant challenges to scientists wishing to keep up with
important developments related to their research, but also provides a useful
resource for the discovery of recent information concerning genes, diseases,
compounds and the interactions between them. In this paper, we describe an
algorithm called Bio-LDA that uses extracted biological terminology to
automatically identify latent topics, and provides a variety of measures to
uncover putative relations among topics and bio-terms. Relationships identified
using those approaches are combined with existing data in life science datasets
to provide additional insight. Three case studies demonstrate the utility of
the Bio-LDA model, including association predication, association search and
connectivity map generation. This combined approach offers new opportunities
for knowledge discovery in many areas of biology including target
identification, lead hopping and drug repurposing.Comment: 14 pages, 8 figures, 10 table
- …