In this segment from CES 2026, Dr. Pouya Dianat, chief revenue officer of QCi, joins theCUBE’s Rob Strechay to explore how quantum computing is shifting from theoretical research to practical, application-focused deployment. Dianat breaks down QCi’s photonic-based approach, which utilizes light to minimize noise and enable operations at room temperature. He introduces the Direct 3, a compact, rack-mounted system designed for data centers, illustrating how the company is putting quantum power directly into the hands of enterprises today without the need for extreme cooling infrastructure.
The discussion highlights immediate use cases where QCi is delivering value, including portfolio optimization, drone routing and quantum machine learning for credit card fraud detection. Dianat stresses the efficiency gains of their technology, citing faster processing speeds and significantly lower power consumption compared to traditional GPU-heavy AI workloads. He also shares insights into QCi’s vertical integration strategy, including their Arizona-based optical component foundry, which paves the way for future miniaturization and mobile-integrated quantum processing units.
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Dr. Pouya Dianat, QCI
Dr. Pouya Dianat, chief revenue officer of QCI, shares insights on the latest quantum computing technologies showcased at CES 2026. This segment explores the innovative applications and future possibilities of quantum computing in today’s world, highlighting QCI's role in transforming industry capabilities.
In this episode, TheCUBE Research team engages with Dr. Pouya Dianat to discuss QCI’s groundbreaking work in quantum computation, sensing, and communication. The conversation focuses on how photonics enables quantum technologies to operate efficiently at room temperature, offering significant advantages in minimizing noise and enhancing system effectiveness.
Dianat elaborates on the real-world applications of QCI's quantum technologies, emphasizing the company's commitment to practical implementation. Key takeaways from the discussion include the potential for quantum computing to revolutionize industries such as finance, logistics, and AI-driven fraud detection. Quantum computing offers faster processing speeds and reduced power consumption compared to traditional methods.
play_circle_outlineQCi's Application-Focused Quantum Technology: Harnessing Photonics Through Capture, Compute, and Communicate for Enhanced Performance
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play_circle_outlineRevolutionizing Quantum Technology: Room-Temperature Computers for Real-World Applications in Finance and Logistics at CES
In this segment from CES 2026, Dr. Pouya Dianat, chief revenue officer of QCi, joins theCUBE’s Rob Strechay to explore how quantum computing is shifting from theoretical research to practical, application-focused deployment. Dianat breaks down QCi’s photonic-based approach, which utilizes light to minimize noise and enable operations at room temperature. He introduces the Direct 3, a compact, rack-mounted system designed for data centers, illustrating how the company is putting quantum power directly into the hands of enterprises today without the need for ex...Read more
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What are the main areas of focus for QCi and what technology have they showcased at CES?add
What advancements have been made in quantum computing hardware and software, and what applications have been developed for it?add
>> Hello, and welcome back to CES 2026. We've made our way over to the CES Foundry where we're looking into quantum. It's the first year for quantum coming to CES, but I think this is really exciting because we get to see what's going on with quantum coming to actual applications. And I'm joined by Pouya, who's from QCi. You're the Chief Revenue Officer.
Dr. Pouya Dianat
>> Correct.
Rob Strechay
>> Thanks for joining us here.
Dr. Pouya Dianat
>> Thank you so much for stopping by here.
Rob Strechay
>> Yeah. Well, I think it's really interesting what you're doing. You were explaining to me this a little bit earlier, that you're really application focused.
Dr. Pouya Dianat
>> Right.
Rob Strechay
>> And I think what we're looking at is how is the technology actually meeting the consumer or end user in what they're doing today? So a big piece of this seems to be what you guys are focused on. Talk to what QCi is about, how you go to market, and that way people get a better understanding.
Dr. Pouya Dianat
>> Yes. At QCi, we are focused on three Cs: capture, compute, and communicate. The naming for quantum sensing, quantum computation, and quantum communication. These are the three things that we focus on. But what we have brought into CES is mainly focused on our quantum computation technology, which is based on photonics, which is a science of engineering rays of light. And the reason that we have selected photonics as our platform is that photons do not interact much with their environment around them, which means that they are much less prone to noise. And that gives us an engineering degree of freedom, which means that we can now design these systems operating at room temperature because of that degree of freedom that we have in terms of not interacting with the media. We have made the hardware and the software for these quantum computers are flagship is direct three that can operate that room temperature. It has a very compact form factor. It's actually desktop, it's four rack unit. It is actually right now deployed in the data center as well, it has cloud access. And we have developed certain applications for it because we understand that we need to focus on the quantum in a sense of changing people's lives. Our vision is to bring quantum into the hands of people. And that has brought in for us to focus on the application. There are several applications that we showcase here live at CES, one focused on portfolio optimization for finance applications, one focused on drone logistics, on drone routing and finding the best route for drone. And other one on quantum machine learning using actually real credit card fraud, credit card transaction fraud data to use for training of the AI. We show that we get advantage over the legacy ways of doing it, which is done with CPUs and GPUs and legacy algorithms. And we show much faster of the five times faster processing and much larger processing of data at a fraction of power, because one thing that everyone probably knows in these days is that AI is just consuming lots of power. If your energy bill has gone up, it's default to the AI and data centers. And that's because that's very, very power intensive. And part of it is used on training, and actually from the operator's perspective, training doesn't generate them any revenue. They want to actually focus on the actual capital.
Rob Strechay
>> Because we're going to the inference and using the actual AI.
Dr. Pouya Dianat
>> Yes.
Rob Strechay
>> And that's where you guys really come in, right? Is helping people use models and be able to do things like understanding proteins and other-
Dr. Pouya Dianat
>> Exactly....
Rob Strechay
>> different cellular level type stuff, unwrapping DNA and things.
Dr. Pouya Dianat
>> Exactly.
Rob Strechay
>> But also like you said, if there's no noise, you could see it in a manufacturing zone where you're not going to have that interference with things like that.
Dr. Pouya Dianat
>> Exactly. And a key feature of our system, right now it's at the gen zero and we have shown that it can be used for real life applications, that that bring business value to people or to the enterprise, and also to the life of people. Now, imagine what the next generations would look like. And we actually invest heavily on the interaction that we have with our clients and customer to get their feedback to incorporate them into our product develop. And you mentioned protein calculations. Actually, we do have a project working with a research institution in New York that works on the exact same project. And based on that interaction, we now know where the next product needs to go, how many queues do we need to make, how fast we need to get to the results and all of that. And these are the key information that you really get by offering something to the market even at the level that it is right now and get that feedback from the customer. And people start feeling that it's real, seeing that it's real and believing it, and that's our intention here at CES.
Rob Strechay
>> Talk a little bit about that because I think what you were telling me earlier is that again, it's a crawl, walk, run strategy with this.
Dr. Pouya Dianat
>> Right.
Rob Strechay
>> This is not like trying to build the uber frozen back in the thing, general purpose, quantum computer. It's really focused on these applications.
Dr. Pouya Dianat
>> Yes.
Rob Strechay
>> Help people understand what that means.
Dr. Pouya Dianat
>> Yes. So our technology is very application specific. It's an analog photonic based quantum computation, which that means that it can solve certain kind of problems, math problems or industry own math problems really well. It doesn't mean that it's going to solve every kind of problem like a gate base or a universal quantum computer can do, but not everyone needs that universality. I mean, if I can imagine sometime in the future that you want to have a better real time routing of your GPS on your cell phone and you need your quantum processing unit, your quantum computer co-located with your CPU on your mobile device that you're carrying. And uniquely to our technology, we have a pathway to get there. Our system is a little bit bulky. It goes, it's on a rack mounted right now, but that's gen zero. And based on the improvements that we get and that we can get into integrated circuit format at some point in the future, there is a pathway to that. And for that purpose, we need very high performing optical components, and knowing that we actually have built our own optical component manufacturing fab in Arizona. That way we have full control over the element of the components that we make, and we know what we need or what target we need to hit and we focus our energy all on that to be able to make the prototype, to go from the tricycle to the bicycle to the car to the flying car and what America brings in the future. I mean, it's always nice to imagine a future that is very advanced, but we are now and we are focused on now and we are focused on the problems today and we are trying to solve those first, and then go to the bicycle next step.
Rob Strechay
>> I love it, Pouya. Thank you for coming on board, I really appreciate it. Check them out. Again, I love this strategy because it's really focused on where the rubber meets the road.
Dr. Pouya Dianat
>> Exactly.
Rob Strechay
>> Or the manufacturing meets the line, and being able to be application focused. Thanks again for coming on.
Dr. Pouya Dianat
>> Thank you so much.
Rob Strechay
>> Yes.
Dr. Pouya Dianat
>> Appreciate it.
Rob Strechay
>> And thank you for watching this episode of theCUBE from CES 2026, we'll be back with more.
