Paul Hess

Quantum Approximate Optimization with a Trapped-Ion Quantum Simulator

2019 · arXiv (Cornell University)

Quantum computers and simulators may offer significant advantages over their classical counterparts, providing insights into quantum many-body systems and possibly solving exponentially hard problems, such as optimization and satisfiability. Here we report the first implementation …