Tailoring Ising interaction matrices for portfolio optimization on atomic quantum platforms

Location: QuantFi, Paris, France Contact person: Jeremy Nusa Group website: quantfi.com

Description: Recently developed atomic quantum computation/simulation platforms allow to naturally realize Ising Hamiltonians using Rydberg interactions. Ising Hamiltonians with arbitrarily tunable couplings between qubits would allow to convert portfolio optimization problems into ground state preparation (e.g. quantum annealing) problems. Due to their physical nature, Rydberg interactions naturally decay as a function of distance and thus the coupling matrices depend on the spatial atomic configuration. The goal of this project is to find spatial atomic configurations that can best approximate Ising matrices for portfolio optimization in finance.

Prerequisite knowledge: Linear algebra. Familiarity with a programming language. Ideally: Familiarity with quantum annealing/adiabatic quantum computation
Internship period and planned duration: Approximately 6 months (starting April 2022)