 In the near term, a promising avenue for realising a quantum advantage in a limited number of problem domains is the Noisy Intermediate-Scale Quantum (NISQ) paradigm (Preskill 2018). The NISQ paradigm does not employ any error correction mechanisms (postponing the problem to implement scalable versions of these to the future) but rather focuses on building computational components, and on tackling computational problems, which are inherently more resilient to noise. These include, for example, certain classes of optimisation problems, quantum semidefinite programming, and digital quantum simulation (Tacchino et al. 2019). A caveat here is that as the resiliency to noise of a circuit increases, the more classically it behaves. Nevertheless, research into NISQ computing is believed to be on track to realise a 50–100 qubit machine—large enough to achieve a quantum advantage over known classical alternatives for the envisioned applications—within the next 5–10 years.