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Solving the resource constrained project scheduling problem (RCPSP) with D-Wave’s hybrid constrained quadratic model (CQM)

Why did the dog fail quantum mechanics class? He couldn’t grasp the concept of super-paws-ition. Quantum superposition is the principle where a quantum system can exist in multiple states simultaneously until it is measured, at which point it collapses into one of the possible states. (Image generated by DALLE-3)

I’m really excited to share this article with you because it’s closely tied to my current research: optimizing project schedules with quantum computing. My passion for this topic comes from my background as a project manager and my ongoing research into how quantum computing can help solving complex optimization problems. During my PhD, I specifically looked into how today’s quantum technology could be used to tackle complex scheduling challenges, that are specific for the field of project management.

We’re living in an incredible era where quantum computers are no longer just a concept — they’re real and being used. Imagine what Richard Feynman would say about them! However, these machines aren’t fully ready yet. They’re often referred to as NISQ (Noisy Intermediate-Scale Quantum) devices, a term coined by quantum computing pioneer John Preskill. These machines are still considered early versions of the more advanced quantum computers we hope to see in the future.

Currently, they’re small, with only a few qubits (quantum bits of information) available. For comparison…

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