Silicon Valley Byte Size - The Allianz Technology Trust Podcast
Jun 15, 2026 · 11 min · 9 segments
Quantum computing is often described as the next frontier, a technology that could solve problems beyond the reach of today's computers. But how close are we to seeing real-world applications, and…
Mike SeidenbergGuestCherry ReynardHostWhat makes quantum computing different from normal computing, the computers we use today?
It's an entirely new way to compute in that today's computers use binary outcomes, one or zero, when they're programming.
But with that becomes a lot of challenges, such as reliability needs to skyrocket in order for quantum to work effectively.
which means your margin for error really goes down just from an engineering perspective as they're building the systems.
It's really a different modality that introduces a new variable into the equation.
It is really being able to look at problems in a different way by use of, you know, using the quantum computing to solve that.
And so what might those problems be? What could quantum computing do that an ordinary computer couldn't?
When you look at an equation that has a very complex equation that could take a normal computer, call it whatever, days or weeks to figure out, quantum should be able to solve that same problem in a much shorter time period.
A more real-world applicable solution would be something, you know, trying to predict some type of weather pattern and using quantum in order to kind of think through the kind of what do we think is most likely to happen here.
And then there are a lot of use cases around financial systems and encryption.
The quantum space reminds me a lot of other spaces in technology where you have a lot of excitement about the potential.
But with that comes a lot of companies that are Just that, they are stories about potential and where that potential is relative to the commercialization is a long distance.
What makes quantum computing different from normal computing, the computers we use today?
It's an entirely new way to compute in that today's computers use binary outcomes, one or zero, when they're programming.
But with that becomes a lot of challenges, such as reliability needs to skyrocket in order for quantum to work effectively.
which means your margin for error really goes down just from an engineering perspective as they're building the systems.
It's really a different modality that introduces a new variable into the equation.
It is really being able to look at problems in a different way by use of, you know, using the quantum computing to solve that.
And so what might those problems be? What could quantum computing do that an ordinary computer couldn't?
When you look at an equation that has a very complex equation that could take a normal computer, call it whatever, days or weeks to figure out, quantum should be able to solve that same problem in a much shorter time period.
A more real-world applicable solution would be something, you know, trying to predict some type of weather pattern and using quantum in order to kind of think through the kind of what do we think is most likely to happen here.
And then there are a lot of use cases around financial systems and encryption.
The quantum space reminds me a lot of other spaces in technology where you have a lot of excitement about the potential.
But with that comes a lot of companies that are Just that, they are stories about potential and where that potential is relative to the commercialization is a long distance.
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