Most people talk about quantum as if the hard part is the qubits.

In my interview withJonathon Riddell, CEO of Kothar Computing, the bottleneck looked different: theclassical layer that has to run the science.

Because real quantumworkflows are hybrid. Quantum plus classical.

And hybrid workflowslive or die on orchestration, reproducibility, performance, and deployment.

Here is theuncomfortable truth.

Python is perfectfor exploration. It is the front door. Python has great compiler-adjacenttools, but the workflow is still fragmented and hard to make robust end-to-end.

The pain starts whenyou move from notebooks to real workloads and you need predictable execution,repeatable builds, and optimized, validated runs across heterogeneous hardware.

That is the compilegap.

The jump fromPython-first workflows to a reliable compilation and transpilation pipelinethat targets CPUs, GPUs, and QPUs. And it shows up everywhere you care about inphysics and quantum:

dynamiclanguages make certain classes of errors harder to catch early, and largescientific stacks accumulate risk through runtime shape/type/unit mismatches.Assystems grow, you want more errors caught before runtime, and failures that areloud and actionable.

This is why I findAleph so interesting.

Aleph is Kothar’sattempt to raise the ceiling for scientific and quantum computing: a languagedesigned to feel natural for researchers, while still being built forcompilation and performance.

The idea is simplebut powerful.

Keep the ergonomicsscientists love.

Add the compilerbackbone production systems require.

Make hybridworkflows feel normal, not fragile.

If you are buildingor investing in quantum, I think this framing matters.

The winners will notjust have better qubits.

They will havebetter tooling that turns quantum into a usable accelerator inside a largerscientific workflow.

Part 1 of the deepdive is out now.

Link:https://youtu.be/T_idIcdYSgc

Also curious: wheredo you feel the pain most today, compilation, debugging, or reproducibility?

#QuantumComputing#QuantumSoftware #HybridComputing #ScientificComputing #HPC

#DeveloperTools#ProgrammingLanguages #Compilers #Compilation #Reproducibility

#PerformanceEngineering#SoftwareEngineering #ComputeAcceleration #DeepTech

#KotharComputing#physics #deeptech #BeyondTheQubit #FutureOfCompute @Kotharcomputing@JonathonRiddell

📌 Disclaimer: This post is shared on a personal basis and I do notrepresent any company