Harvest Now, Decrypt Later: Why Quantum Is Already a Data Problem with John Licata

I would love to kind of really expand on let's get out of our comfort zone.

So if we take a particular use case, an example, you mentioned new type of materials or like batteries and stuff like what are the computational problems that that we're dealing with that we're kind of stuck, that with this quantum computing, quantum technology can actually say, oh, we can actually now address and solve this.

It's something that we can't do with our ones and zeros today.

So let's bring it down to a couple of recent examples.

So obviously, the most notable over the last five, six years was COVID.

And looking into the supply chain and how it really just brought the supply chain to its knees.

Like we were not able to get certain goods.

But imagine if you can be more anticipatory and use simulation to help.

If this happens, then that.

And I think that's where there's one opportunity.

So think about like digital twins on steroids with more advanced data that can allow it to give really good answers in advance.

So the supply chain is one that is very broken today.

Whether we saw that a few years back when there was a vessel that was stuck, literally stuck in the Strait of Hormuz, and that actually hurt global trade.

The supply chain is at the epicenter of modern business.

And so that's something that is still problematic.

Sustainability, like we are, this is issues related to like, how do we deliver the most sustainable goods and services? Cancer is something that we still can't cure it for whatever reason.

We don't know why we can't, you know, cure cancer or autism or these disorders that people are facing at alarming rates.

So are there ways that we can look at maybe some more of the personal uh medical applications so right now medicine is kind of like one size fit all but it's not for you juan it's not for you tim and it's not for me it's for three guys middle age very good looking that are uh really trying to help them solve you know a generic problem but what if you know we each had our own respective issues quantum can help take the the the molecular discovery down to a level that is really impossible for a classical computer to to really take a look at and so this is where i think that we have to start pushing the envelope yeah battery battery um variations with chemicals is certainly interesting next generation pharma absolutely but then like we're starting to think about like what is the role of personalized medicine But how do we actually look at that from me coming from ServiceNow and playing in the enterprise platform perspective? How do we make decisions when there's billions of agents? And it's not one agent making the decision.

Maybe there's many agents involved and quantum could play a sliver of a role.

in the agentic performance, but it passes it along.

So there's different people doing different specialists can do different things.

So people sometimes think hybrid is only quantum plus AI, but hybrid can also redefine the future of work from working in classical systems to working across quantum systems as well.

And I just think that we have to start thinking about where we might get more effectiveness But in some cases it could be speed.

Some cases it could be value.

Some cases it could be energy consumption because data centers are using so much energy with AI right now.