A Cryogenic 1 GSa/s, Soft-Core FPGA ADC for Quantum Computing Applications

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Machine learning and data processing algorithms have been thriving in finding ways of processing and classifying information by exploiting the hidden trends of large datasets. Although these emerging computational methods have become successful in today's ...

Reciprocity guarantees that in most media, sound transmission is symmetric between two points of space when the location of the source and receiver are interchanged. This fundamental law can be broken in non-linear media, often at the cost of detrimental i ...

Event-based sensors have the potential to optimize energy consumption at every stage in the signal processing pipeline, including data acquisition, transmission, processing, and storage. However, almost all state-of-the-art systems are still built upon th ...

Medical research and technological advancements are heading towards tailored healthcare approaches that prioritize individual needs, allowing for more accurate diagnoses, more effective treatments, and better patient outcomes overall. One such approach is ...

Modern digital connectivity has necessitated the creation of robust methods for securely storing and transferring data. At the heart of all security infrastructure is the random number generator (RNG). While random numbers find use in a variety of applicat ...

Time-sensitive networks provide worst-case guarantees for applications in domains such as the automobile, automation, avionics, and the space industries. A violation of these guarantees can cause considerable financial loss and serious damage to human live ...

During the design phase of an aircraft manufacturing system, different industrial scenarios need to be evaluated according to key performance indicators to achieve the optimal system performance. It is a highly complex process involving multidisciplinary s ...

In the modern age of miniaturisation, Smart Materials, a type of material that reacts mechanically to a certain stimulus, have become an integral part of this revolution. Among these materials, Shape Memory Alloys (SMAs), which have the highest volumetric ...

In this thesis, we present a theory of value for the design and analysis of service ecosystems. The theory is based on general systems thinking. The concept of a system is used for relating knowledge from different disciplines (such as software engineering ...

This work demonstrates the first 3D printed wearable motor-sensory module prototype designed for facial rehabilitation, focusing on facial paralysis. The novelty of the work lies in the fast fabrication of the first fully soft working prototype, including ...

When learning from data, leveraging the symmetries of the domain the data lies on is a principled way to combat the curse of dimensionality: it constrains the set of functions to learn from. It is more data efficient than augmentation and gives a generaliz ...

The objective of this thesis is the development of high-field and high-current joints between Nb3Sn cables for superconducting coils. The main fields of application are high energy physics (HEP) and thermonuclear fusion. In this thesis, the focus is on Win ...

A Cryogenic 1 GSa/s, Soft-Core FPGA ADC for Quantum Computing Applications

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2D Nanosystems: Applications of 2D Semiconductors for In-Memory Computing

Observation of non-reciprocal harmonic conversion in real sounds

An Error-Based Approximation Sensing Circuit for Event-Triggered Low-Power Wearable Sensors

Monitoring of Protein and pH Levels in Human Biofluids using FD-SOI Silicon Nanowire Arrays

Modelling and design of CMOS SPAD sensors for quantum random number generation

A Network Calculus Analysis of Asynchronous Mechanisms in Time-Sensitive Networks

A semantic-driven tradespace framework to accelerate aircraft manufacturing system design

Synthesis of Novel Integrated Actuators Powered by Shape Memory Alloys

A Theory of Value for Service Ecosystems

3D Printed Motor-Sensory Module Prototype for Facial Rehabilitation

Leveraging topology, geometry, and symmetries for efficient Machine Learning

Intergrade Joints for Nb3Sn cables of high magnetic field magnets