The short answer is, depends. If your organization is dealing with Deep Learning, Machine Learning, complex simulations or optimizations, you should care. Quantum computing is one of those technologies that we get hyped, look into them, frown in disappointment and then dismiss. The truth though, is that you shouldn’t. Not now.

In theory, Quantum Computing enables companies to run hard (exponential based) problems orders of magnitude faster than current technologies. I say in theory because in most cases, the mathematical algorithms aren’t there yet. That said, this is changing and fast.

When I mean fast, I mean exponentially fast. Some weeks ago, Microsoft released its Quantum Computing Toolkit. IBM released something similar last year called IBM Quantum Experience (IBM-Q), becoming the first company to offer Universal Quantum Computing in the cloud.

The news caught my attention. It surprised me that more and more technology companies are releasing Quantum simulators. I wondered, isn’t it far away from being useful? The truth is, it is, and it’s not. So let me separate two things.

Quantum Computers

On one side you have the Quantum Computer itself, the hardware. The speed of innovation on the hardware side is impressive. Right now there might