Most people thinkquantum progress is a qubit story.

Jonathon Riddellargues a big part of the bottleneck is the missing quantum EDA stack.

In part 2 of my deepdive with Jonathon, CEO of Kothar Computing, the punchline is blunt.

We are stillbuilding quantum hardware at the scientific experiment layer, because classicalEDA was never built to capture the quantum physics that determines whetherthese devices work.

So teams simulate,hand designs to a fab, fabricate the chip, measure it… and only then realizekey effects weren’t captured before committing to the lab.

Jonathon calls thisbeing “blind,” and he also notes that’s a bit harsh because we do capture someeffects.

But the pointstands.

This is not just aninnovation pace problem.

It is a design loopproblem.

Here’s my takeawayanalogy.

Classicalsemiconductors became an industry when EDA helped turn physics into repeatableengineering workflows.

Quantum will needits own version of that.

Jonathon’s vision isa vertically integrated quantum EDA workflow, from design choices all the wayto a file you hand off to a fab, without stitching together disjoint tools.

He thinks the fieldis heading there within about five years.

Kothar’s wedge isthe compute engine underneath that stack.

They built alanguage, Aleph, combining symbolic computing with numerical high-performancecomputing.

In quantum many-bodyproblems, symbolic reduction matters: skip it, and you can end up solvingsomething 100 to 1000 times harder than necessary.

That is also why thepartnership with Nanoacademic Technologies’ QT CAD is telling.

QT CAD buildsrealistic bottom-up chip models.

Kothar focuses onthe hard quantum many-body solving layer once the models get real.

Modeling plussolving.

That is how an EDAecosystem forms.

One investor linethat stuck with me.

The value can becompressing a 12-month project into a week by removing orchestration frictionand making workflows robust enough to scale.

If you areunderwriting quantum, track qubit counts.

But also ask themore boring, more powerful question.

Who is building theEDA layer that makes quantum engineering repeatable?

Because the winnersmay not be the team with the most qubits first.

They may be the teamwith the fastest design loop.

#quantum #eda#quantumcomputing #semiconductors #chipdesign #hpc #scientificcomputing#deeptech #simulation #designautomation

📌 Disclaimer: This post is shared on a personal basisand I do not represent any company