now is in the 512 quantum bit (qubit) prototype, or more precisely, 509 functional qubits in the quantum processor acquired through the NASA-Google-USRA partnership. Implementing a problem in the language of the quantum machine requires a mapping of the problem to a quadratic unconstrained binary optimization problem (QUBO), and the subsequent embedding into the hardware architecture (see Fig. \[fig:diagnosis\]), both steps usually demanding more bits than the bits needed to solve the problem with a classical algorithm.

These constraints have limited the implementations of practical problems to proof-of-principle demonstrations [@Gaitan2012; @PerdomoOrtiz2012_LPF; @planningquantum]. In this paper we present the first application with the route Problem $\rightarrow$ QUBO $\rightarrow$ Direct embedding into quantum hardware, where we are able to implement and tackle problem instances with sizes that not only require at least a laptop to find the solution but also their number of elements comparable to those found in real-world problems. For example, in the electrical circuits used for diagnosis competitions from NASA’s Advanced Diagnostics and Prognostics Testbed (ADAPT), this number ranges between 40-100 components [@kurtoglu09first]. In the present paper, we can easily embed into the D-wave machine, problem instances with close to 100 components, split among circuit breakers and light-emitting diodes. 