The difficulty with dynamic and heterogeneous natured edge computing environments is resource provisioning. Reinforcement learning (RL) can be promising to solve the problems of resource allocation under conditions of...
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The ability to deliver results promptly has become crucial for analytical frameworks due to the swift increase in data volumes. Complex algorithms are needed to schedule data processing activities on distributed compu...
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Recruitment is one of the most crucial factors in shaping efficient and high-performing teams within organizations. However, the traditional recruitment processes are often plagued by biases and subjective judgments t...
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The Virtual Trial Room is an innovative augmented reality (AR) system that enables users to virtually try on apparel, enhancing the online shopping experience by simulating a physical fitting room. This technology lev...
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The rapid evolution of smartphone technology and the diverse range of available models have made selecting a cost-effective mobile phone a complex decision for consumers. Although brand, internal memory, camera qualit...
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Hybrid quantum computing is considered the present and the future within the field of quantum computing. Far from being a passing fad, this trend cannot be considered just a stopgap to address the limitations of NISQ-...
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ISBN:
(纸本)9783031777370;9783031777387
Hybrid quantum computing is considered the present and the future within the field of quantum computing. Far from being a passing fad, this trend cannot be considered just a stopgap to address the limitations of NISQ-era devices. The foundations linking both computing paradigms will remain robust over time. The contribution of this work is twofold: first, we describe and categorize some of the most frequently used hybrid solvers, resorting to two different taxonomies recently published in the literature. Secondly, we put a special focus on two solvers that are currently deployed in real production and that have demonstrated to be near the real industry. These solvers are the LeapHybridBQMSampler contained in D-Wave's Hybrid Solver Service and Quantagonia's Hybrid Solver. We analyze the performance of both methods using as benchmarks four combinatorial optimization problems.
Potholes have become a major threat to road safety in recent times, accidents and fatalities have been associated with them in large numbers, especially when drivers are unable to notice the potholes and avoid them in...
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This paper proposes a framework for real-time monitoring of the power consumption of distributed calculation on the nodes of the cluster. The framework allows to visualize and analyze the provider results based on the...
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Alzheimer's disease is a gradually increasing neu- rodegenerative disorder, it presents its manifestations with cognitive decline and brain degeneration, above all in aged individuals. Such early diagnosis is para...
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Handwritten character recognition (HCR) is still regarded as a difficult learning problem in pattern recognition, even after being studied in-depth for a few decades. Research on script independent models is also scar...
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