E. Lucero

TL;DR: Quantum supremacy is demonstrated using a programmable superconducting processor known as Sycamore, taking approximately 200 seconds to sample one instance of a quantum circuit a million times, which would take a state-of-the-art supercomputer around ten thousand years to compute.

TL;DR: This work introduces a many-body spectroscopy technique based on a chain of superconducting qubits to study quantum phases of matter and introduces disorder to study the statistics of the energy levels of the system as it undergoes the transition from a thermalized to a localized phase.

TL;DR: Nine superconducting qubits are used to demonstrate a promising path toward quantum supremacy and the scaling of errors and output with the number of qubits is explored in a five- to nine-qubit device.

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 digital quantum simulation of the adiabatic algorithm is presented, which consists of up to nine qubits and up to 1,000 quantum logic gates and can solve random instances of the one-dimensional Ising problem as well as problem Hamiltonians that involve more complex interactions.