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Thesis
Home   /   Thesis   /   Automatization of quantum computing kernel writing for quantum applications

Automatization of quantum computing kernel writing for quantum applications

Computer science and software Engineering sciences New computing paradigms, circuits and technologies, incl. quantum Technological challenges

Abstract

The framework of Hamiltonian simulation opens up a new range of computational approaches for quantum computing. These approaches can be developed across all relevant fields of quantum computing applications, including, among others, partial differential equations (electromagnetism, fluid mechanics, etc.), quantum machine learning, finance, and various methods for solving optimization problems (both heuristic and exact).

The goal of this thesis is to identify a framework where these approaches—based on Hamiltonian simulation or block-encoding techniques—are feasible and can be written in an automated way.

This work could extend to the prototyping of a code generator, which would be tested on practical cases in collaboration with European partners (including a few months of internship within their teams).

Laboratory

Département Systèmes et Circuits Intégrés Numériques (LIST)
DSCIN
Laboratoire pour la Confiance des sYstèmes de calcuL
Paris-Saclay
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