Applicazioni innovative di algoritmi quantistici
Riferimenti BARTOLOMEO MONTRUCCHIO
Riferimenti esterni La tesi e' in collaborazione con l'Istituto Mario Boella (Fondazione Links) firstname.lastname@example.org.
Tipo tesi RICERCA
Descrizione The pace at which silicon-based computer architectures are evolving is making transistors' size reaching physical limits. However, to continue increasing processing capabilities, other approaches are researched. Among the others, Quantum Computing technologies represent a fully disruptive departure from traditional way of thinking computer architectures and their algorithms. Quantum computers are expected to solve large complex problems that are not addressable with current and future supercomputers. Many Quantum Algorithms (QAs) have the potential of exponential speed-up compared to their classical counterpart and are thus of primary interest for exploiting the capability of future quantum machines.
The objective of the work is to study the applicability of Quantum Algorithms (e.g., Shor, quantum Fourier Transform – QFT, Grove, etc.) to complex and relevant problems we are facing in scientific and engineering fields (e.g., bioinformatics, optimization problems, etc.). The thesis work will be oriented on using IBM QX and D-Wave platforms, although further platforms will also be considered.
Conoscenze richieste Esperienza di linguaggi di programmazione quali Python, C/C++. Algoritmi.
Scadenza validita proposta 19/04/2020 PROPONI LA TUA CANDIDATURA