DOD/DARPA-DSO-Optimization with Noisy Intermediate-Scale Quantum Devices (HR001119S0052)

(Additional deadlines: Abstracts – optional: 22.4, FAQ – 28.5)

The goal of the ONISQ program is to establish that Quantum Information Processing (QIP) using Noisy Intermediate-Scale Quantum (NISQ) devices has a quantitative advantage for solving real-world combinatorial optimization problems as compared with the best known classical methods, and to develop a theoretical basis to explore the power of hybrid optimization approaches, including identifying families of problem instances in combinatorial optimization where QIP is likely to have the biggest impact. 

https://www.fbo.gov/index?s=opportunity&mode=form&id=a3bcc35b2e6ffb1d7350b5803facec1b&tab=core&_cview=0