Optimization Is The Key Challenge For Quantum Computing

Such data shows that quantum computing has moved well beyond the “can it be done” point to the “when will it all happen” stage.

By the beginning of the next decade, there should be enough fire power in quantum systems to address a second stage, which will focus on optimizations on a larger scale.

Quantum computing is no longer a physics problem, but an engineering one.

By 2030, quantum systems will be able to tackle optimizations at a larger scale, beyond molecules.

It’s not an untapped area; D-Wave’s annealing quantum systems are aimed squarely at such optimization opportunities (though the company also is will build superconducting quantum systems), and he adds that Dell also has used annealers to address optimization in its supply chain.