Fixing the useful resource constrained challenge scheduling drawback (RCPSP) with D-Wave’s hybrid constrained quadratic mannequin (CQM)
I’m actually excited to share this text with you as a result of it’s intently tied to my present analysis: optimizing challenge schedules with quantum computing. My ardour for this matter comes from my background as a challenge supervisor and my ongoing analysis into how quantum computing can assist fixing advanced optimization issues. Throughout my PhD, I particularly seemed into how at the moment’s quantum know-how might be used to sort out advanced scheduling challenges, which can be particular for the sector of challenge administration.
We’re dwelling in an unimaginable period the place quantum computer systems are not only a idea — they’re actual and getting used. Think about what Richard Feynman would say about them! Nevertheless, these machines aren’t absolutely prepared but. They’re also known as NISQ (Noisy Intermediate-Scale Quantum) gadgets, a time period coined by quantum computing pioneer John Preskill. These machines are nonetheless thought-about early variations of the extra superior quantum computer systems we hope to see sooner or later.
At the moment, they’re small, with just a few qubits (quantum bits of data) obtainable. For comparability…