Internship and thesis proposals
Quantum Algorithms for the Many-Body Problem on Silicon Spin Qubits

Domaines
Condensed matter
Quantum information theory and quantum technologies

Type of internship
Théorique, numérique
Corporate activity

Corporate activity

Check with your teaching staff that the internship meets the criteria expected for your research master's internship, if you wish to include it in this diploma.

Description
Context: Simulating interacting electrons, the quantum many-body problem, is one of the most promising applications of quantum computers, with potential impact on materials science and quantum chemistry. Running such algorithms on real hardware raises specific challenges: noise, limited connectivity and native gate sets all depend on the qubit technology. Quobly develops quantum processors based on silicon spin qubits and has released SpinPulse, a library for transpilation and noise-accurate simulation of spin qubit quantum computers. The goal is to implement a quantum algorithm for a small many-body problem and evaluate how it performs under realistic spin qubit noise.

Contact
Matthieu Saubanere
Laboratory : LOMA - UMR 5798
Team : LOMA Condensed Matter Theory
Team Website
/ Thesis :    Funding :