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Università della Svizzera italiana

Perspectives on the measurement problem : perspectives from the measurement problem

Hansen, Arne ; Wolf, Stefan (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020INFO008.

In quantum mechanics, the measurement problem is commonly regarded as reason for deep concern. It seems that, either, the problem can be solved and there is hope for quantum mechanics, or the theory better be left behind in search of another one. We investigate the prospect of finding a solution to the measurement problem—within quantum mechanics, as well as in theoretical frameworks beyond...

Università della Svizzera italiana

Deep learning for 3D hand biometric systems

Svoboda, Jan ; Bronstein, Michael (Dir.) ; Masci, Jonathan (Codir.)

Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020INFO007.

Hands are an indispensable part of human bodies used in our everyday life to express ourselves and manipulate the surrounding world. Moreover, a hand contains highly- unique characteristics that allow for distinguishing among different individuals. Though fingerprints are widely-known for this, the hand also has a unique geometric shape, palmprint, and vein structure. The shapes of a hand and...

Università della Svizzera italiana

Liquid web applications : design and implementation of the decentralized cross-device web

Gallidabino, Andrea ; Pautasso, Cesare (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020INFO006.

Web applications are traditionally designed having in mind a server-centric architecture, whereby the whole persistent data, dynamic state and logic of the application are stored and running on a Web server. The clients running in the Web browsers traditionally render only pre-computed views fetched from the server. Nowadays this centralized approach does not fit well with the kind of...

Università della Svizzera italiana

High-performance interior point methods : application to power grid problems

Kardoš, Juraj ; Schenk, Olaf (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020INFO003.

A software library for the solution of large-scale structured nonconvex optimization problems is presented in this work, with the purpose of accelerating the solution on single- core, multicore, or massively parallel high-performance distributed memory computing infrastructures. A large class of industrial and engineering problems possesses a particular structure, motivating the development of...

Università della Svizzera italiana

Lattice-based protocols for privacy

Boschini, Cecilia ; Wolf, Stefan (Dir.) ; Camenisch, Jan (Codir.)

Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020INFO002.

Privacy and control over data have become a public concern. Simultaneously, the increasing likelihood of the construction of a general purpose quantum computer has led companies and governments to demand for quantum safe alternatives to the protocols used today. New schemes have been elaborated, whose conjectured security against a quantum computer relies on the hardness to solve different...

Università della Svizzera italiana

Human-robot interaction with pointing gestures : intuitive interaction between co-located humans and robots

Gromov, Boris ; Gambardella, Luca Maria (Dir.) ; Giusti, Alessandro (Codir.)

Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020INFO004.

Human-robot interaction (HRI) is an active area of research and an essential component for the effective integration of mobile robots in everyday environments. In this PhD work, we studied, designed, implemented, and experimentally validated new efficient interaction modalities between humans and robots that share the same workspace. The core of the work revolves around deictic (pointing)...

Università della Svizzera italiana

Parallel space-time multilevel methods with application to electrophysiology : theory and implementation

Benedusi, Pietro ; Krause, Rolf (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020INFO005.

The goal of this thesis is to design and study an efficient strategy to solve possibly non-linear parabolic partial differential equations on massively parallel machines. Traditionally, when solving time-dependent problems, time stepping methods are used to advance the solution in time. These techniques are inherently sequential and therefore they introduce a bottleneck in the overall...

Università della Svizzera italiana

Physics and information : what is the role of information in physics?

Erker, Paul ; Wolf, Stefan ; Winter, Andreas ; Huber, Marcus (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2019 ; 2019INFO016.

More than a century ago, physicists around the world were collectively developing a theory to describe the newly discovered strange behaviours of some physical systems. This marks the birth of quantum theory. Few decades later, the groundbreaking idea to separate information from its physical carrier led to the establishment of information theory. These, initially independent theories, merged...

Università della Svizzera italiana

Compiler analysis for hardware/software co-design and optimization : an automation framework towards more efficient Heterogeneous Computing

Zacharopoulos, Georgios ; Pozzi, Laura (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020INFO001.

Performance increase, in terms of faster execution and energy efficiency, is a never-ending research domain and does not come for free. The breakdown of Dennard scaling, along with the seemingly inevitable end of Moore’s law economic aspect, present a new challenge to computer architects striving to achieve better performance in modern computer systems. Heterogeneous computing emerges as one...

Università della Svizzera italiana

Approximation algorithms for two-dimensional geometric packing problems

Gálvez, Waldo ; Grandoni, Fabrizio (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2019 ; 2019INFO013.

There are a lot of natural problems arising in real life that can be modeled as discrete optimization problems. Unfortunately many of them are believed to be hard to solve efficiently (i.e. they cannot be solved in polynomial time unless P=NP). An approximation algorithm is one of the ways to tackle these hard optimization problems. These algorithms have polynomial running time and guarantee a...