The proceedings contain 302 papers. The topics discussed include: an empirical comparison of optimizers for quantum machine learning with SPSA-based gradients;towards redefining the reproducibility in quantum computin...
ISBN:
(纸本)9798350343236
The proceedings contain 302 papers. The topics discussed include: an empirical comparison of optimizers for quantum machine learning with SPSA-based gradients;towards redefining the reproducibility in quantum computing: a data analysis approach on NISQ devices;crosstalk-based parameterized quantum circuit approximation;a study on concentric feature embeddings in variational multiclass classification for small-scale quantum computers;QubiC 2.0: a flexible advanced full stack quantum bit control system;harnessing the power of long-range entanglement for Clifford circuit synthesis;investigating students’ strengths and difficulties in quantum computing;design of quantum machine learning course for a computer science program;quantum computing, math, and physics (QCaMP): introducing quantum computing in high schools;and leveraging dual enrollment programs to expand secondary education in quantum computation.
Edge computing enhances task reliability by employing redundant task executions across edge nodes. Conventional decentralized task offloading strategies, based on heuristics and game theory, either focus on optimizati...
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In the domain of welding, conventional methods for quantifying residual welding rods predominantly depend on manual counting, which is not only labor-intensive but also susceptible to inaccuracies. To address this iss...
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Mental health applications have gained significant popularity, but many still fall short in delivering personalized emotional support. This study explores a Personalized Content Filter powered by BiLSTM to analyze use...
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This paper describes 'FederatedSGDGenomic,' a secure genomic data management cooperative. The essay, titled 'Distributed Bioengineering Data Analysis: Preserving Privacy with Federated learning,' recei...
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The primary goal of our design is to reduce stress among IT professionals by combining graphical technology literacy and image processing techniques. Our system is a continued improvement over the old stress discovery...
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Amidst the evolving landscape of cybersecurity threats, adept hackers deploy sophisticated strategies to exploit end-to-end technology and capitalize on human vulnerabilities. Hacking techniques including social engin...
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Remote teaching is commonly used during the COVID-19 pandemic. Not only the K-12 students but also university students suffer from the pandemic's effect. Under remote situations, the teaching experience of STEM is...
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作者：
Vickram, A.S.Bhavani Sowndharya, B.
Saveetha School of Engineering Department of Biosciences TN Chennai602105 India Simats
Saveetha School of Engineering Department of Biosciences TN Chennai602105 India
Automatic plant condition monitoring using a chosen computer algorithm is one of the recent advancement in the agriculture domain. To ensure the plant health, it is necessary to monitor the pest which causes the consi...
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The NVIDIA Deep learning Accelerator (NVDLA) on the Xilinx ZCU104 platform is thoroughly analyzed and benchmarked in this research report. With the help of the RESNET50 model and the default architecture and runtime s...
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