Esta pesquisa se propõe a compreender como a utilização das tecnologias móveis pode ser explorada para o ganho de agilidade na captação e repasse dos sinais fracos (SF) no ambiente organizacional. Os sinais fracos, apesar de, isoladamente, se apresentarem como incertos e imprecisos, se analisados sistematicamente, contém potencial estratégico relevante para as organizações. O crescente uso de tecnologias móveis e sem fio, que permeia a realidade das organizações, permite uma maior agilidade por parte das empresas, sob as perspectivas de acesso a informação, comunicação e tempo. Através da realização de estudos de caso múltiplos, contando com 10 respondentes exercendo funções multidisciplinares em diferentes organizações, buscamos relacionar essas perspectivas de agilidade provenientes da utilização das tecnologias móveis nas organizações – levantadas através de revisão bibliográfica – às etapas de captação e repasse de sinais fracos, adotadas no modelo de Inteligência Estratégica Antecipativa e Coletiva (IEAc). Com relação à captação dos sinais fracos, entende-se que o volume de informações trocado e a disponibilidade dessas informações (ambos decorrentes do uso das tecnologias de informação móveis e sem fio) podem aumentar a chance de identificação de um sinal fraco nas três perspectivas analisadas. Contudo, essa percepção dos sinais fracos é vinculada também às características do profissional, que deve assumir uma atitude proativa e atenta no sentido de perceber e interpretar essas informações. A respeito do repasse de informação, entende-se que o ganho de agilidade pelo uso das TIMS pode ser explorado, dado que a redução das barreiras geográficas permite ganhos no processo em relação ao tempo, à comunicação e ao acesso à informação. / This research aims to understand how the use of mobile technologies can be exploited to gain agility in the capture and transfer of weak signals in the organizational environment. When weak signals are analysed singly, they are uncertain and imprecise. However, when systematically analyzed, they contain relevant strategic potential for organizations. The increasing use of mobile technologies and wireless, that permeates the reality of organizations, allows greater flexibility for companies, on the prospects of access to information, communication and time. By performing multiple case studies, with 10 respondents which work in different functions and different organizations, we seek to relate these agility prospects arising from the adoption of mobile technologies in organizations - raised through literature review - to the stages of capture and transfer of weak signals, adopted in Strategic, Anticipative and Collective Intelligence. Regarding the capture of weak signals, is meant that the volume of information exchanged and the availability of this information (both resulting from TIMS) may increase the chance of identifying a weak signal in the three perspectives analyzed. However, this perception of weak signals is also linked to the characteristics of each professional, who should take a proactive and attentive attitude towards perceive and interpret this information. Regarding the transfer stage of weak signals information, is observed that the gain agility through the use of TIMS can be exploited, given that the reduction of geographical barriers allows gains over time, related to communication and access to information.

Esta pesquisa se propõe a compreender como a utilização das tecnologias móveis pode ser explorada para o ganho de agilidade na captação e repasse dos sinais fracos (SF) no ambiente organizacional. Os sinais fracos, apesar de, isoladamente, se apresentarem como incertos e imprecisos, se analisados sistematicamente, contém potencial estratégico relevante para as organizações. O crescente uso de tecnologias móveis e sem fio, que permeia a realidade das organizações, permite uma maior agilidade por parte das empresas, sob as perspectivas de acesso a informação, comunicação e tempo. Através da realização de estudos de caso múltiplos, contando com 10 respondentes exercendo funções multidisciplinares em diferentes organizações, buscamos relacionar essas perspectivas de agilidade provenientes da utilização das tecnologias móveis nas organizações – levantadas através de revisão bibliográfica – às etapas de captação e repasse de sinais fracos, adotadas no modelo de Inteligência Estratégica Antecipativa e Coletiva (IEAc). Com relação à captação dos sinais fracos, entende-se que o volume de informações trocado e a disponibilidade dessas informações (ambos decorrentes do uso das tecnologias de informação móveis e sem fio) podem aumentar a chance de identificação de um sinal fraco nas três perspectivas analisadas. Contudo, essa percepção dos sinais fracos é vinculada também às características do profissional, que deve assumir uma atitude proativa e atenta no sentido de perceber e interpretar essas informações. A respeito do repasse de informação, entende-se que o ganho de agilidade pelo uso das TIMS pode ser explorado, dado que a redução das barreiras geográficas permite ganhos no processo em relação ao tempo, à comunicação e ao acesso à informação. / This research aims to understand how the use of mobile technologies can be exploited to gain agility in the capture and transfer of weak signals in the organizational environment. When weak signals are analysed singly, they are uncertain and imprecise. However, when systematically analyzed, they contain relevant strategic potential for organizations. The increasing use of mobile technologies and wireless, that permeates the reality of organizations, allows greater flexibility for companies, on the prospects of access to information, communication and time. By performing multiple case studies, with 10 respondents which work in different functions and different organizations, we seek to relate these agility prospects arising from the adoption of mobile technologies in organizations - raised through literature review - to the stages of capture and transfer of weak signals, adopted in Strategic, Anticipative and Collective Intelligence. Regarding the capture of weak signals, is meant that the volume of information exchanged and the availability of this information (both resulting from TIMS) may increase the chance of identifying a weak signal in the three perspectives analyzed. However, this perception of weak signals is also linked to the characteristics of each professional, who should take a proactive and attentive attitude towards perceive and interpret this information. Regarding the transfer stage of weak signals information, is observed that the gain agility through the use of TIMS can be exploited, given that the reduction of geographical barriers allows gains over time, related to communication and access to information.

Esta pesquisa se propõe a compreender como a utilização das tecnologias móveis pode ser explorada para o ganho de agilidade na captação e repasse dos sinais fracos (SF) no ambiente organizacional. Os sinais fracos, apesar de, isoladamente, se apresentarem como incertos e imprecisos, se analisados sistematicamente, contém potencial estratégico relevante para as organizações. O crescente uso de tecnologias móveis e sem fio, que permeia a realidade das organizações, permite uma maior agilidade por parte das empresas, sob as perspectivas de acesso a informação, comunicação e tempo. Através da realização de estudos de caso múltiplos, contando com 10 respondentes exercendo funções multidisciplinares em diferentes organizações, buscamos relacionar essas perspectivas de agilidade provenientes da utilização das tecnologias móveis nas organizações – levantadas através de revisão bibliográfica – às etapas de captação e repasse de sinais fracos, adotadas no modelo de Inteligência Estratégica Antecipativa e Coletiva (IEAc). Com relação à captação dos sinais fracos, entende-se que o volume de informações trocado e a disponibilidade dessas informações (ambos decorrentes do uso das tecnologias de informação móveis e sem fio) podem aumentar a chance de identificação de um sinal fraco nas três perspectivas analisadas. Contudo, essa percepção dos sinais fracos é vinculada também às características do profissional, que deve assumir uma atitude proativa e atenta no sentido de perceber e interpretar essas informações. A respeito do repasse de informação, entende-se que o ganho de agilidade pelo uso das TIMS pode ser explorado, dado que a redução das barreiras geográficas permite ganhos no processo em relação ao tempo, à comunicação e ao acesso à informação. / This research aims to understand how the use of mobile technologies can be exploited to gain agility in the capture and transfer of weak signals in the organizational environment. When weak signals are analysed singly, they are uncertain and imprecise. However, when systematically analyzed, they contain relevant strategic potential for organizations. The increasing use of mobile technologies and wireless, that permeates the reality of organizations, allows greater flexibility for companies, on the prospects of access to information, communication and time. By performing multiple case studies, with 10 respondents which work in different functions and different organizations, we seek to relate these agility prospects arising from the adoption of mobile technologies in organizations - raised through literature review - to the stages of capture and transfer of weak signals, adopted in Strategic, Anticipative and Collective Intelligence. Regarding the capture of weak signals, is meant that the volume of information exchanged and the availability of this information (both resulting from TIMS) may increase the chance of identifying a weak signal in the three perspectives analyzed. However, this perception of weak signals is also linked to the characteristics of each professional, who should take a proactive and attentive attitude towards perceive and interpret this information. Regarding the transfer stage of weak signals information, is observed that the gain agility through the use of TIMS can be exploited, given that the reduction of geographical barriers allows gains over time, related to communication and access to information.

Les systèmes de navigation par satellites GNSS ne cessent d’évoluer et ils sont déjà utilisés dans de nombreuses applications. Avec la venue des nouveaux systèmes Galileo et BeiDou ainsi que la modernisation des systèmes GPS et GLONASS, de nouveaux satellites ainsi que de nombreuses nouvelles fréquences et de nouveaux signaux feront leur apparition dans les prochaines années et qui vont encore ouvrir la porte à d’innombrables nouvelles applications. L’évolution rapide de la téléphonie mobile nécessite une meilleure exploitation des systèmes de navigation et de positionnement dans les environnements urbains.Jusqu'à maintenant, les signaux de navigation GPS ne peuvent pas être bien captés dans les environnements urbains. Les niveaux des signaux y sont très faibles et il est presque impossible d’acquérir et de poursuivre les signaux de façon autonome à cause de l'importance des obstacles. De plus, le positionnement à l’intérieur et dans les environnements urbains sont aussi soumis aux problèmes de multi-trajets, de masquage, d’interférences et de brouillages. Dans ces conditions, il faut pouvoir traiter des signaux très dégradés ou très courts qui ne permettent pas au récepteur d’effectuer le processus de poursuite. Ainsi, cela nous conduit à la nécessité de repenser l'architecture du récepteur GNSS pour les applications modernes.Ce projet de thèse consiste à développer de nouvelles méthodes et architectures de récepteur GNSS de haute sensibilité et robuste aux dégradations des signaux tout en concevant de nouveaux algorithmes intégrés dans un récepteur GNSS hybride capable de fonctionner dans les environnements urbains profonds ou « intérieurs ».La méthodologie prévoit l’utilisation de la nouvelle approche de « détection collective (CD) » ou « acquisition collaborative ». L'approche collaborative qui traite tous les signaux multi-satellites ouvre une solution intéressante. De nombreuses techniques existent dans la littérature pour résoudre les problèmes de positionnement dans les environnements urbains, mais nous proposons la nouvelle approche de détection collective en raison de sa performance en tant que méthode de positionnement direct et méthode d'acquisition de haute sensibilité, par l'application de la détection vectorielle de tous les satellites visibles. En effet, la bonne combinaison des valeurs de corrélation de plusieurs satellites peut réduire le niveau de C/N0 requis des signaux satellites par les algorithmes standards de traitement (acquisition et poursuite) qui ne peuvent pas être acquis individuellement mais permettent de contribuer de manière constructive à une solution collective de positionnement pour chaque utilisateur. L’objectif est de détecter collaborativement les satellites. La combinaison de différents signaux GNSS peut considérablement augmenter la sensibilité d'acquisition du récepteur. Malgré les avantages de cette approche, elle présente également des inconvénients tels que la charge de calcul élevée en raison du grand nombre de points candidats dans le domaine position/biais d’horloge. Ainsi, le travail proposé dans cette thèse consiste à réduire la complexité du CD en optimisant la recherche de points candidats dans le domaine position/biais d’horloge. Enfin, l'objectif est d'appliquer l'approche de détection collective au positionnement GNSS coopératif pour la navigation moderne dans des environnements difficiles. Pour cela, des algorithmes d'exploitation optimale des ressources du récepteur en sélectionnant les meilleurs satellites ou la station de référence seront développés selon certains critères tels que le niveau du rapport signal sur bruit (C/N_0), l’angle d’élévation des satellites ainsi que la configuration géométrique des satellites visibles. L’objectif final est de proposer une nouvelle architecture de récepteur cognitif de haute sensibilité permettant de recevoir de façon optimale les nouveaux signaux GNSS. / GNSS satellite navigation systems are constantly evolving and have been already used in many applications. With the advent of the new systems Galileo and BeiDou as well as the modernization of GPS and GLONASS systems, new satellites and numerous new frequencies and signals will appear in the coming years and will open door to countless new applications that are currently impossible. The rapid evolution of mobile telephony and personal navigation devices (PND) requires better use of navigation systems in non-ideal environments, especially the need for positioning in deep urban area. On the one hand, users are waiting for a high positioning accuracy, because of the proximity to various points of interest. On the other hand, urban environment brings specific difficulties in receiving GNSS signals.GNSS navigation signals cannot be properly captured in urban and "indoor" environments. Signal levels are very low and it is almost impossible to acquire and track signals autonomously because of the strong attenuation of signals due to obstacles. In addition, indoor and urban positioning are also subject to multipath problems, masking, interference and jamming. Under these conditions, we must be able to process highly degraded or very short signals that do not allow the receiver to go through the tracking process. Thus, this leads us to the need to rethink the architecture of GNSS receiver for modern applications.This thesis project consists of developing new GNSS methods and architectures of high sensitivity and robustness to signal degradations and designing new algorithms integrated into a hybrid GNSS receiver capable of operating in deep urban environments.The methodology involves the use of the new concept of “Collective Detection (CD)”, also called “collaborative acquisition”. The collaborative approach that treats multi-satellite signals all together opens an interesting solution. Many techniques exist in the literature to solve the problems of positioning in urban environments, but we propose the new Collective Detection approach because of its performance as both a Direct Positioning method, providing a coarse position/clock-bias solution directly from acquisition, and High-Sensitivity acquisition method, by application of vector detection of all satellites in view. Indeed, the correct combination of the correlation values of several satellites can reduce the required Carrier-to-Noise Ratio (C/N_0) level of the satellite signals which cannot be acquired individually by standard signal processing (acquisition and tracking) but make it possible to use them constructively to a positioning solution. The combination of different GNSS signals can considerably increase the acquisition sensitivity of the receiver. Despite the advantages of this approach, it also has drawbacks such as the high computational burden because of the large number of candidate points in the position/clock-bias domain. Thus, the work proposed in this thesis consists of reducing the complexity of the CD by optimizing the search for candidate points in position/clock-bias domain. Finally, the goal is to apply the CD approach to Cooperative GNSS Positioning for modern navigation in harsh environments. For that, algorithms for optimally exploiting receiver resources by selecting the best satellites or the reference station will be developed according to certain criteria such as the C/N_0 level, the elevation angle, and the geometric configuration of the visible satellites. The ultimate goal is to propose a design of a new smart receiver “High Sensitivity Cognitive GNSS Receiver (HS-CGR)” to optimally receive and process GNSS signals.

Managing safety at a nuclear power plant is about a complex system with demanding technology under time pressure where the cost of failure is exceptionally high. Swedish nuclear power plants have over the last few years introduced Pre-job Briefing and other so called Human Performance Tools to advert errors and strengthen control. By using the Systemic Resilience Model different views of safety are taken to understand the origin of the signals that leads to a Pre-job Briefing, and how the signal is interpreted, re-interpreted, and presented. The study took place at a Swedish nuclear power plant and included four days of observations and 20 interviewees. The thematic analysis shows a similarity between mentioned origins of Pre-job Briefings and the intended use of Pre-job Briefing. Characteristics of a High Reliability Organisation is shown in practice by a culture of that one will to have a Pre-job Briefing is enough, that sharp end workers is used as a valuable resource for safety and a systematic support to screen jobs over time without influencing non-job related factors. The signals acted upon matched well with the intended, and personnel get several opportunities to evaluate the signals together, striving for best possible circumstances. The Systemic Resilience Model was successfully applied together with a thematic analysis, which strengthens its validity as a holistic model that combines different views of safety in one coherent model. SyRes allowed to present additional themes, leaving the question at what stage SyRes is optimally implemented in a thematic analysis.

Les systèmes de navigation par satellite (GNSS) font partie de notre quotidien. On peut présentement les trouver dans un ensemble d’applications. Avec les nouveaux besoins, des nouveaux enjeux sont aussi apparus : le traitement du signal dans les environnements urbains est extrêmement complexe. Dans cette thèse, le traitement des signaux GNSS à faible puissance est abordé, en particulier dans la première phase du traitement, nommé acquisition de signal. Le premier axe de rechercheporte sur l’analyse et la compensation de l’effet Doppler dans l’acquisition. Le décalage Doppler perçu par l’utilisateur est un des paramètres principaux pour la configuration du module d’acquisition. Dans cette étude, des solutions sont proposées pour trouver le meilleur compromis sensibilité-complexité propre à l’acquisition. En deuxième axe, la caractérisation des détecteurs différentiels est abordée, en particulier la quantification de sa sensibilité. Pour l’acquisition des signaux faibles, après une première phase d’intégration cohérente, il faut passer par une intégration «postcohérente» (noncohérente ou différentielle.) L’analyse exécutée ici permet de meilleur identifier le meilleur choix entre les deux possibilités. Le troisième axe de recherche est consacré à la méthode de Détection Collective (CD), une innovation qui fait l’acquisition simultanée de tous les signaux visible par le récepteur. Plusieurs analyses sont réalisées incluant l’amélioration de la procédure de recherche de la CD, et l’hybridisation avec l’acquisition standard. Enfin on effectuel’analyse de la CD dans un contexte multi-constellation, en utilisant simultanément des vrais signaux GPS et Galileo. / Satellite navigation (GNSS) is a constant in our days. The number of applications that depend on it is already remarkable and is constantly increasing. With new applications, new challenges have also risen: much of the new demand for signals comes from urban areas where GNSS signal processing is highly complex. In this thesis the issue of weak GNSS signal processing is addressed, in particular at the first phase of the receiver processing, known as signal acquisition. The first axe of research pursued deals with the analysis and compensation of the Doppler effect in acquisition. The Doppler shift that is experienced by a user is one of the main design drivers for the acquisitionmodule and solutions are proposed to improve the sensitivity-complexity trade-off typical of the acquisition process. The second axe of research deals with the characterization of differential GNSS detectors. After a first step of coherent integration, transition to post coherent (noncoherent or differential) integration is required for acquiring weak signals. The quantification of the sensitivity of differential detectors was not found in literature and is the objective of this part of the research. Finally, the third axe of research is devoted to multi-constellation Collective Detection (CD). CD is an innovative approach for the simultaneous processing of all signals in view. Severalissues related to CD are addressed, including the improvement of the CD search process and the hybridization with standard acquisition. Finally, the application of this methodology in the context of a multi-constellation receiver is also addressed, by processing simultaneously real GPS and Galileo signals.

Tesis por compendio / [ES] En esta tesis doctoral se propone y evalúa un sistema para detectar señales débiles (weak signals) relacionadas con cambios futuros trascendentales. Si bien la mayoría de las soluciones conocidas se basan en el uso de datos estructurados, el sistema propuesto detecta cuantitativamente estas señales utilizando información heterogénea y no estructurada de fuentes científicas, periodísticas y de redes sociales. La predicción de nuevas tendencias en un medio tiene muchas aplicaciones. Por ejemplo, empresas y startups se enfrentan a cambios constantes en sus mercados que son muy difíciles de predecir. Por esta razón, el desarrollo de sistemas para detectar automáticamente cambios futuros significativos en una etapa temprana es relevante para que cualquier organización tome decisiones acertadas a tiempo. Este trabajo ha sido diseñado para obtener señales débiles del futuro en cualquier campo dependiendo únicamente del conjunto de datos de entrada de documentos. Se aplican técnicas de minería de textos y procesamiento del lenguaje natural para procesar todos estos documentos. Como resultado, se obtiene un mapa con un ranking de términos, una lista de palabras clave clasificadas automáticamente y una lista de expresiones formadas por múltiples palabras. El sistema completo se ha probado en cuatro sectores diferentes: paneles solares, inteligencia artificial, sensores remotos e imágenes médicas. Este trabajo ha obtenido resultados prometedores, evaluados con dos metodologías diferentes. Como resultado, el sistema ha sido capaz de detectar de forma satisfactoria nuevas tendencias en etapas muy tempranas que se han vuelto cada vez más importantes en la actualidad. La computación cuántica es un nuevo paradigma para una multitud de aplicaciones informáticas. En esta tesis doctoral también se presenta un estudio de las tecnologías disponibles en la actualidad para la implementación física de qubits y puertas cuánticas, estableciendo sus principales ventajas y desventajas, y los marcos disponibles para la programación e implementación de circuitos cuánticos. Con el fin de mejorar la efectividad del sistema, se describe un diseño de un circuito cuántico basado en máquinas de vectores de soporte (SVM) para la resolución de problemas de clasificación. Este circuito está especialmente diseñado para los ruidosos procesadores cuánticos de escala intermedia (NISQ) que están disponibles actualmente. Como experimento, el circuito ha sido probado en un computador cuántico real basado en qubits superconductores por IBM como una mejora para el subsistema de minería de texto en la detección de señales débiles. Los resultados obtenidos con el experimento cuántico muestran también conclusiones interesantes y una mejora en el rendimiento de cerca del 20% sobre los sistemas convencionales, pero a su vez confirman que aún se requiere un desarrollo tecnológico continuo para aprovechar al máximo la computación cuántica. / [CA] En aquesta tesi doctoral es proposa i avalua un sistema per detectar senyals febles (weak signals) relacionats amb canvis futurs transcendentals. Si bé la majoria de solucions conegudes es basen en l'ús de dades estructurades, el sistema proposat detecta quantitativament aquests senyals utilitzant informació heterogènia i no estructurada de fonts científiques, periodístiques i de xarxes socials. La predicció de noves tendències en un medi té moltes aplicacions. Per exemple, empreses i startups s'enfronten a canvis constants als seus mercats que són molt difícils de predir. Per això, el desenvolupament de sistemes per detectar automàticament canvis futurs significatius en una etapa primerenca és rellevant perquè les organitzacions prenguen decisions encertades a temps. Aquest treball ha estat dissenyat per obtenir senyals febles del futur a qualsevol camp depenent únicament del conjunt de dades d'entrada de documents. S'hi apliquen tècniques de mineria de textos i processament del llenguatge natural per processar tots aquests documents. Com a resultat, s'obté un mapa amb un rànquing de termes, un llistat de paraules clau classificades automàticament i un llistat d'expressions formades per múltiples paraules. El sistema complet s'ha provat en quatre sectors diferents: panells solars, intel·ligència artificial, sensors remots i imatges mèdiques. Aquest treball ha obtingut resultats prometedors, avaluats amb dues metodologies diferents. Com a resultat, el sistema ha estat capaç de detectar de manera satisfactòria noves tendències en etapes molt primerenques que s'han tornat cada cop més importants actualment. La computació quàntica és un paradigma nou per a una multitud d'aplicacions informàtiques. En aquesta tesi doctoral també es presenta un estudi de les tecnologies disponibles actualment per a la implementació física de qubits i portes quàntiques, establint-ne els principals avantatges i desavantatges, i els marcs disponibles per a la programació i implementació de circuits quàntics. Per tal de millorar l'efectivitat del sistema, es descriu un disseny d'un circuit quàntic basat en màquines de vectors de suport (SVM) per resoldre problemes de classificació. Aquest circuit està dissenyat especialment per als sorollosos processadors quàntics d'escala intermèdia (NISQ) que estan disponibles actualment. Com a experiment, el circuit ha estat provat en un ordinador quàntic real basat en qubits superconductors per IBM com una millora per al subsistema de mineria de text. Els resultats obtinguts amb l'experiment quàntic també mostren conclusions interessants i una millora en el rendiment de prop del 20% sobre els sistemes convencionals, però a la vegada confirmen que encara es requereix un desenvolupament tecnològic continu per aprofitar al màxim la computació quàntica. / [EN] In this doctoral thesis, a system to detect weak signals related to future transcendental changes is proposed and tested. While most known solutions are based on the use of structured data, the proposed system quantitatively detects these signals using heterogeneous and unstructured information from scientific, journalistic, and social sources. Predicting new trends in an environment has many applications. For instance, companies and startups face constant changes in their markets that are very difficult to predict. For this reason, developing systems to automatically detect significant future changes at an early stage is relevant for any organization to make right decisions on time. This work has been designed to obtain weak signals of the future in any field depending only on the input dataset of documents. Text mining and natural language processing techniques are applied to process all these documents. As a result, a map of ranked terms, a list of automatically classified keywords and a list of multi-word expressions are obtained. The overall system has been tested in four different sectors: solar panels, artificial intelligence, remote sensing, and medical imaging. This work has obtained promising results that have been evaluated with two different methodologies. As a result, the system was able to successfully detect new trends at a very early stage that have become more and more important today. Quantum computing is a new paradigm for a multitude of computing applications. This doctoral thesis also presents a study of the technologies that are currently available for the physical implementation of qubits and quantum gates, establishing their main advantages and disadvantages and the available frameworks for programming and implementing quantum circuits. In order to improve the effectiveness of the system, a design of a quantum circuit based on support vector machines (SVMs) is described for the resolution of classification problems. This circuit is specially designed for the noisy intermediate-scale quantum (NISQ) computers that are currently available. As an experiment, the circuit has been tested on a real quantum computer based on superconducting qubits by IBM as an improvement for the text mining subsystem in the detection of weak signals. The results obtained with the quantum experiment show interesting outcomes with an improvement of close to 20% better performance than conventional systems, but also confirm that ongoing technological development is still required to take full advantage of quantum computing. / Griol Barres, I. (2022). Modelling of a System for the Detection of Weak Signals Through Text Mining and NLP. Proposal of Improvement by a Quantum Variational Circuit [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/183029 / TESIS / Compendio

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