Quantum computing is still in its infancy. The following is the video of the interview Ī note of caution.
It’s more complicated than I’m making out, of course, but it’s a good layman-like example. A D Wave system would consider all of the possible solutions at the same time, then collapse down to the optimal set of player. When you start adding variables like this, the problem gets exponentially more difficult to solve.īut it’s right up the alley of a quantum computer. But since hockey is a team sport, you also have to consider how well they work when combined with other specific players. First there’s all the individual stats, like how well they score, pass, and defend. There are a lot of variables to consider. Your task is to select the very best starting line-up from that roster of guys. The first is a Monte Carlo type simulation, the second is machine learning, and the third is optimization problems that would drive a regular computer nuts – or, at least, take a long time for it to process.Īn example of this type of optimization problem is this: Consider the approximately 2,000 professional hockey players in North America. It turns out that there are three broad categories of problem where your best bet is a quantum computer. The Register has published a fascinating video about Quantum Computing, an interview with D-Wave, a company which manufactures what they claim are quantum computing systems.
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