Juan Atalaya

TL;DR: The application of the Google Sycamore superconducting qubit quantum processor to combinatorial optimization problems with the quantum approximate optimization algorithm (QAOA) is demonstrated and an approximation ratio is obtained that is independent of problem size and for the first time, that performance increases with circuit depth.

TL;DR: In this article, a hierarchy of simplified continuum elasticity descriptions for modeling the mechanical properties of suspended graphene sheets is derived, and validated by applying them to square graphene-based resonators with clamped edges and studying numerically their mechanical responses.

TL;DR: In this article , the authors report the measurement of logical qubit performance scaling across several code sizes, and demonstrate that their system of superconducting qubits has sufficient performance to overcome the additional errors from increasing qubit number.

TL;DR: In this article, the authors describe the quantum information propagation process in quantum systems, which can spread initially localized quantum information into the exponentially many degrees of freedom of the entire system, known as quantum quantum information dissemination.