Built For Trust With Nick Lippis
Sep 24, 2026 · 36 min · 11 segments
Quantum computing has moved beyond theoretical possibility. The next challenge is turning that progress into applications that create real enterprise value. In this episode of the Built for Trust…
Sumit KapurGuestNick LippisHost
We break it up into quantum native applications and quantum mapped applications.

So quantum native applications are where you're using a quantum computer to solve a problem of quantum physics.

We're using it to, you know, in order to model, you know, a quantum physical system.

And so really what ends up happening in, you know, those quantum native applications, this is what Richard Feynman had in mind when he actually proposed a quantum computer some 50 years ago.

And so in quantum native applications, you've got quantum chemistry and drug discovery.

I mean, they're kind of the same thing, but we break it up into two because, you know, quantum chemistry on the chemistry side, you've got, Industrial chemistry, you've got superconductors, batteries, polymers, agricultural chemicals.

These are really, really deep value pools where you can imagine slightly better materials can drive an extraordinary amount of value capture for the participants that are in those spaces.

We were on the cover of Nature Biotech in December of 2025, just a few months ago.

And really, that was our work that we did to look for... molecules that inhibit the KRAS mutation, which is one of the primary mutations that causes cancer.

That was work that we did on an IBM 16-qubit computer, and we actually found a number of molecules that showed binding activity, which is a really, really important thing.

Those molecules then were synthesized physically in a laboratory, and we ended up actually uh, then finding a few of those that, uh, that showed promise and, uh, and are going to be, you know, pursued as, as viable candidates to prevent this mutation, which is a really big deal.

It was a big enough deal that they put it on the cover of nature biotech and, uh, and then, uh, you know, chose selected as one of the top 10 studies of 2025.

So really, uh, you know that you know that's something we're proud of so that's the quantum native space and then there's quantum mapped applications where you can put things like optimization simulation and machine learning so large systems optimization where you're talking about supply chains large networks logistics etc simulations you've got defense simulations finance simulations uh you know again really really deep value pools where if you do derivative pricing just a little bit better than the next guy then you can capture a great deal more value so uh you know lots of different areas that we can explore and that we have explored
yeah could you talk a little bit about the dana farber one you know what can you do there that's and that's public you know so we can talk a little bit about that

And really what we ended up doing with that, it really highlights what you end up doing in quantum space and frankly, with GPUs as well.

When you're talking about new types of processing power, typically what will end up happening is you use those in conjunction with the other computers.


We break it up into quantum native applications and quantum mapped applications.

So quantum native applications are where you're using a quantum computer to solve a problem of quantum physics.

We're using it to, you know, in order to model, you know, a quantum physical system.

And so really what ends up happening in, you know, those quantum native applications, this is what Richard Feynman had in mind when he actually proposed a quantum computer some 50 years ago.

And so in quantum native applications, you've got quantum chemistry and drug discovery.

I mean, they're kind of the same thing, but we break it up into two because, you know, quantum chemistry on the chemistry side, you've got, Industrial chemistry, you've got superconductors, batteries, polymers, agricultural chemicals.

These are really, really deep value pools where you can imagine slightly better materials can drive an extraordinary amount of value capture for the participants that are in those spaces.

We were on the cover of Nature Biotech in December of 2025, just a few months ago.

And really, that was our work that we did to look for... molecules that inhibit the KRAS mutation, which is one of the primary mutations that causes cancer.

That was work that we did on an IBM 16-qubit computer, and we actually found a number of molecules that showed binding activity, which is a really, really important thing.

Those molecules then were synthesized physically in a laboratory, and we ended up actually uh, then finding a few of those that, uh, that showed promise and, uh, and are going to be, you know, pursued as, as viable candidates to prevent this mutation, which is a really big deal.

It was a big enough deal that they put it on the cover of nature biotech and, uh, and then, uh, you know, chose selected as one of the top 10 studies of 2025.

So really, uh, you know that you know that's something we're proud of so that's the quantum native space and then there's quantum mapped applications where you can put things like optimization simulation and machine learning so large systems optimization where you're talking about supply chains large networks logistics etc simulations you've got defense simulations finance simulations uh you know again really really deep value pools where if you do derivative pricing just a little bit better than the next guy then you can capture a great deal more value so uh you know lots of different areas that we can explore and that we have explored
yeah could you talk a little bit about the dana farber one you know what can you do there that's and that's public you know so we can talk a little bit about that

And really what we ended up doing with that, it really highlights what you end up doing in quantum space and frankly, with GPUs as well.

When you're talking about new types of processing power, typically what will end up happening is you use those in conjunction with the other computers.

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