Ibm grows quantum ecosystem dancingdinosaur types of electricity consumers

It is good that you aren’t dying to deploy quantum computing soon because IBM readily admits that it is not ready for enterprise production now or in several weeks or maybe several months. IBM, however, continues to assemble the building blocks you will eventually need when you finally feel the urge to deploy a quantum application that can address a real problem that you need to resolve.

IBM is surprisingly frank about the state of quantum today. There is nothing you can do at this point that you can’t simulate on a conventional or classical computer system. This situation is unlikely to change anytime soon either. For years to come, we can expect hybrid quantum and conventional compute environments that will somehow work together to solve very demanding problems, although most aren’t sure exactly what those problems will be when the time comes. Still at Think earlier this year IBM predicted quantum computing will be mainstream in 5 years.

It has been some time since the computer systems industry had to build a radically different kind of compute discipline from scratch. Following the model of the current IT discipline IBM began by launching the IBM Q Network, a collaboration with leading Fortune 500 companies and research institutions with a shared mission. This will form the foundation of a quantum ecosystem. The Q Network will be comprised of hubs, which are regional centers of quantum computing R&D and ecosystem; partners, who are pioneers of quantum computing in a specific industry or academic field; and most recently, startups, which are expected to rapidly advance early applications.

The most important of these to drive growth of quantum are the startups. To date, IBM reports eight startups and it is on the make for more. Early startups include QC Ware, Q-Ctrl, Cambridge Quantum Computing (UK), which is working on a compiler for quantum computing, 1Qbit based in Canada, Zapata Computing located at Harvard, Strangeworks, an Austin-based tool developer, QxBranch, which is trying to apply classical computing techniques to quantum, and Quantum Benchmark.

Startups get membership in the Q network and can run experiments and algorithms on IBM quantum computers via cloud-based access; provide deeper access to APIs and advanced quantum software tools, libraries, and applications; and have the opportunity to collaborate with IBM researchers and technical SMEs on potential applications, as well as with other IBM Q Network organizations. If it hasn’t become obvious yet, the payoff will come from developing applications that solve recognizable problems. Also check out QISKit, a software development kit for quantum applications available through GitHub.

The last problem to solve is the question around acquiring quantum talent. How many quantum scientists, engineers, or programmers do you have? Do you even know where to find them? The young people excited about computing today are primarily interested in technologies to build sexy apps using Node.js, Python, Jupyter, and such.

To find the people you need to build quantum computing systems you will need to scour the proverbial halls of MIT, Caltech, and other top schools that produce physicists and quantum scientists. A scan of salaries for these people reveals $135,000- $160,000, if they are available at all.

The best guidance from IBM on starting is to start small. The industry is still at the building block stage; not ready to throw specific application at real problems. In that case sign up for IBM’s Q Network and get some of your people engaged in the opportunities to get educated in quantum.

When DancingDinosaur first heard about quantum physics he was in a high school science class decades ago. It was intriguing but he never expected to even be alive to see quantum physics becoming real, but now it is. And he’s still here. Not quite ready to sign up for QISKit and take a small qubit machine for a spin in the cloud, but who knows…