Energy · utilities
A unit-commitment problem of 25,755 variables and 48,939 constraints solved feasibly with a photonic quantum processor inside a hybrid MILP decomposition, on a national-laboratory testbed. The commercial MILP solver was better at short runtimes; the hybrid was competitive at longer ones. These findings do not establish a commercial quantum benefit.
Headline result
25,755 variables and 48,939 constraints; quantum solutions feasible; the MILP solver better at short runtimes, the hybrid competitive at longer runtimes
Platform networkMeasured on quantum hardware
Which generating units to commit, period by period, under ramping, reserve and network constraints. The problem is solved every day with a commercial MILP solver, and any new method has to be measured against it, not around it.
The commitment sub-problem was carved out of a MILP decomposition and run on a photonic quantum processor; the rest stayed classical. Every quantum solution was checked for feasibility, and the runtime was compared with the commercial solver at matched quality.
25,755 variables and 48,939 constraints; quantum solutions feasible; the MILP solver better at short runtimes, the hybrid competitive at longer runtimes
For a client, the next step is the first engagement on this page’s industry: you send one expansion case, as a network file with in-service status honoured. You get back the proven plan and the gap. Two weeks.
Decision it enabled
A feasible dispatch at industrial size
Instead of: the commercial MILP solver on the same instance
Verified by · Delivered through our platform network; photonic quantum processor plus classical MILP; pilot; the result does not establish a commercial quantum benefit.
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A resist, a grid plan, a controller, a cipher: you get the answer, the method it was checked against, and its status. The free check runs in your browser.
