A Quantum Genetic Algorithm to Optimize Cosmological Parameters

Quantum Computing (QC) is a novel discipline unifying Computer Science with fundamental phenomena of Quantum Mechanics, namely Entanglement and Superposition. While QC has been studied theoretically since the end of the last century, recent advancements in hardware, leading to the development of the first functional Quantum Computers, have reignited interest in the field. In this talk, a possible application of this novel technology to a cosmological problem is presented. Indeed, an Hybrid Quantum Genetic Algorithm is shown, whose goal is to find the minimum of cosmological functions, such as the cosmological Chi-Squared of Supernovae Type Ia, Baryon Acoustic Oscillations, and the Cosmic Microwave Background radiation. The results obtained by the Quantum Genetic Algorithm are consistent with the analytical functions, classical algorithms, and other quantum algorithms previously developed in the literature.