A multi-user access system is designed and developed to facilitate access to the Quantum Random Number Generator (QRNG). The REST API service is built on FastAPI, a Python framework that adheres to OpenAPI standards. A multi-user access system is designed and developed to facilitate access to the Quantum Random Number Generator (QRNG). The REST API [...]
A solution proposed by HPCNow! for monitoring the stability of the quantum random number generator installed at CESGA using open-source code monitoring methods is presented. This report provides details of the results and deliverables of project TestQRNG. The project's primary objective is to provide tools for the assessment of the stability of the quantum random [...]
This report outlines the scientific and technological status of the design and use of distributed quantum computing and communication systems, with an emphasis on design and engineering challenges in quantum internet and connection of multiple QPUs This report reviews the state of the art in quantum computing (QC) theory and technology, particularly focusing on the [...]
We present a summary of the state of the art of the most relevant quantum algorithms for mathematical research, including the problems they solve, as well as their advantages, limitations, and open issues. This report aims to provide mathematic professionals with an accessible introduction to quantum computing, along with a summary of current quantum computing [...]
The study aims to identify the areas where quantum computing can address problems to optimize the production processes in the automotive sector in Galicia. By identifying potential applications that impact OEMs, suppliers, and their supply chain. This document compiles the research conducted on quantum computing in the automotive industry. First, we provide an overview that [...]
R is a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc. This report will give a point of reference to run R in parallel at CESGA Supercomputer Finisterrae, using different parallel [...]
One version of the official TensorFlow (TF) performance Benchmark was downloaded from TF webpage and prepared to run on Finis Terrae II (FT2) supercomputing infrastructure from CESGA. This report shows the achieved results on this CESGA supercomputing facilities.
One of the most powerful characteristics of Google API for Machine Learning TensorFlow is its capability for distributed computation that allow users to automatically distribute the training process in different computing machines. Despite the fact that the implementation of these characteristics is relatively straightforward, their deployment in a typical High Performance Infrastructure based on queue [...]
Machine Learning (ML) and Deep Learning (DL) are two technologies used to extract representations of the data for a specific purpose. ML algorithms take a set of data as input to generate one or several predictions. To define the final version of one model, usually there is an initial step devoted to train the algorithm [...]
This technical report will try to give an overview of different profiling tools, both open-source and commercial. Some of them are currently available in FinisTerraeII supercomputer, so a brief usage of this tools will be shown too. This report will give a point of reference to start to use this tools, and at the same [...]