Dr. Ernest Blatchley

speaker
323 appearances 2 recordings 2 series first heard Jun 2026 last heard 29 Jun

Dr. Ernest Blatchley’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months
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Recordings per month over the last 12 months — 2 in all, peaking in Jun 2026 with 2.

Appearances

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TBPN · Open-Source AI Battle, Google Throttles Meta, Micron Margins Moon | Edward Coristine & Tai Groot, Chad Rigetti, Pim de Witte, Yadin Soffer, Jack Morris, Neil Movva, Jakob Diepenbrock, Chris Altchek · 29 Jun 2026 podcast
What needs to happen to get there?
Well, you have to build a quantum computer that meets the specific requirements for AI workloads.
And the strategy that we're taking at Sigildry is we are very focused on deeply understanding what those challenges are, what needs to happen inside the data center to bring these algorithms that can have a different kind of scaling complexity class than classical algorithms for AI training and inference, and then understanding what kind of quantum hardware is needed to run those.
And what we found is there's a set of requirements that you need to meet that
probably are never going to be met by single modality hardware.
What do I mean by that?
In quantum computing and quantum hardware, there's different kinds of qubit technologies that you can use to instantiate the qubits.
So there's superconducting qubits.
That's what I did my PhD in and what my first company was based on.
That's what IBM is focused on and largely Google has been focused on.
But there's also trapped ions.
Continuum and IonQ are doing trapped ions.
And a long list of other companies.
There's photonics.
There's now neutral atoms.
There's spin qubits and semiconductors.
There's all these different hardware substrates that people are using to pursue and to build quantum computers based on those.
And what we're doing at Sigildry is stepping up a layer and saying, from a computer architecture perspective, modern computers aren't built out of one physical kind of bit.
There's not just one transistor type that makes up these computers that we're using today or the computers that are used to train large-scale models and deploy them.
There's a plethora of different physical technologies that are used to build these computer systems.
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