Since their discovery in 2007, fast radio bursts (FRBs) have become a major focus of radio astronomy research because they enable researchers to probe the intergalactic medium beyond the Milky Way. Finding more FRBs will enable better understanding of the loca…
Quantum Machine Learning (QML):An emerging research area that integrates principles of quantum computing with machine learning algorithms to enhance computational efficiency, scalability, and learning capability for complex data-driven problems. Cloud-Based Qu…
Περίληψη Η εξατομικευμένη ιατρική επιδιώκει την προσαρμογή της πρόληψης, της διάγνωσης και της θεραπείας στα ιδιαίτερα χαρακτηριστικά κάθε ασθενούς, αξιοποιώντας δεδομένα από πολλαπλές πηγές, όπως το γονιδίωμα, οι εικόνες ιατρικής απεικόνισης, τα ηλεκτρονικά μ…
In recent years, we have observed a new revolution in computer science, driven by the increasing availability of computational power and data. This historic event has seen the capillary diffusion of what is commonly known as artificial intelligence (AI). In pa…
Quantum machine learning (QML) promises new representational and computational capabilities, yet practical deployment on near-term hardware is hampered by resource overheads, depth constraints, and fragile trainability. This thesis advances resource-aware QML…
This dissertation is presented in partial fulfillment of the requirements for Ph.D. degree in the Graduate School of Politecnico di Torino (ScuDo).La scrittura scientifica è notoriamente fredda, austera, priva di emozioni.Qualsiasi risultato ottenuto da un esp…
A vital component in ensuring network security is an Intrusion Detection System (IDS), and classical Machine Learning (ML) models often struggle to keep pace with sophisticated cyber threats. Quantum Computing, a probabilistic computational class utilising the…
Over the past decade, the field of Classical Machine Learning has experienced rapid growth, primarily driven by the widespread adoption of the internet and the increasing interconnectivity of digital devices.This expansion has led to the generation of vast vol…
ΠΕΡΙΛΗΨΗΗ παρούσα διπλωματική εργασία εξετάζει το ρόλο της κβαντικής μηχανικής μάθησης στη βελτίωση της φαρμακευτικής έρευνας.Στόχος της είναι η διερεύνηση καινοτόμων τεχνολογιών, με το συνδυασμό της μηχανικής μάθησης και της κβαντικής υπολογιστικής, που μπορο…
Quantum machine learning methods, including quantum kernels and variational quantum algorithms (VQAs), are poised to demonstrate quantum advantages in machine learning, chemistry, condensed matter physics, and materials science. However, these methods face cri…
Machine learning quantique appliqué à des cas d'usage industriels Cette thèse explore le développement de méthodes en Apprentissage Automatique Quantique (Quantum Machine Learning, QML) destinées aux applications industrielles, en mettant l'accent sur la jonct…
With the complexity of the cyber threats, the issue of developing more intelligent and flexible systems that can detect the known and unknown intrusions in real-time has become a burning matter. The paper suggests a hybrid threat detection scheme that combines…
أنا مساعد المستودع. اسألني عن الرسائل والأطاريح حسب الموضوع أو الجامعة أو الدولة أو السنة أو الدرجة، أو اطلب أعداداً وإحصاءات.
يجيب من قاعدة بيانات المستودع فقط، ولا يخترع سجلات أو أرقاماً. لا يُحفظ ما تكتبه على الخادم.
قد يخطئ المساعد أحياناً، فراجع المصادر المرفقة.
