What follows is an excerpt from an interview with Kevin Donovan, Chief Architect of WVE, on the Chief Architect Forum News. Donovan was interviewed by Brice Ominski, DeepDive World’s global chief technology officer. The full interview can be heard here.
Donovan is known industry-wide for his commitment to empowering clients through digital advantage and architectural excellence. With a focus on business technology strategy, he crafts innovative solutions that merge architectural principles with modern technology.
The excerpt with Donovan, a CAF board member, follows.
Question: One of the things that has come up in some of our recent interviews is the concept of an innovation pipeline and the need for us not to focus on a single technology. For example, there’s been a lot of talk around Generative AI, and very little discussion about Quantum Computing. Can you speak to this?
Answer: Sure. AI, especially Generative AI, sucks all the oxygen out of the room. Yet, Quantum Computing is certainly one of the next large players on the horizon. Are we getting to a tipping point, where all sorts of different breakthroughs are going to be made.Q: What are some of the things we might want to look for that are signs of adoption?
A: There are a couple of areas. Secure cryptography is one. Quantum computers will soon be able to break encryption like RSA or AES. Instead of hours, it will take 1/3 of a second. The healthcare space is another one, with things like genome sequencing, protein folding, and molecular structures around the corner. Being able to use Quantum Computing for pharmaceuticals and material sciences will also be a key breakthrough.
Q: How fast are they going to build in these standards in the enterprise?
A: It’s interesting. We were talking before about Generative AI. If you look at its rise, there’s a hype cycle. There might be a 3-year span or so from early mentions until it’s everywhere. Is that transferable to something like Quantum Computing? It’s possible, but with Quantum Computing being a larger piece of engineering than Generative AI, there is a question.