TL;DR Quantum computing won’t scale if every program is a hand-written circuit. Coda lets beginners, domain experts, and engineers describe problems in natural language and run them on real quantum processors, without writing low-level quantum code.
I’m Brandon, co-founder of Conductor Quantum. Today we’re launching Coda, a natural language interface for quantum computers.
Coda lets you design, understand, and run quantum programs in natural language, without writing low-level quantum code. We built it because quantum computing is powerful, but still far too hard to actually use.
Quantum computers offer a new computing paradigm for simulating the world at the atomic level. This opens up new possibilities in chemistry, materials science, and drug discovery that push beyond what the largest classical supercomputers can handle.
The problem is most material scientists or biochemists can't use a quantum computer today - the barrier to entry to learn all the new bespoke tools, and the quantum information science is way too high. This is why we are building Coda.
Our long-term goal is simple: access to a quantum computer from every desk. It’s built for domain experts and technical teams who want to explore real quantum use cases today and prototype faster. Also, it’s built for people new to quantum computing who want a practical, hands-on way to learn.
One of the first quantum computers we’re offering on our platform is Rigetti’s 84-qubit quantum computer, plus IonQ and IQM. We also support qubit simulations via IBM Qiskit and NVIDIA cuQuantum + CUDA-Q.
We’re early and learning fast, and we’d love your feedback.
Congrats on the launch! Love how Coda turns natural language into real quantum programs and removes low-level circuit pain.
Vibe-code quantum programs! Very cool to see this on ProductHunt. I don't pretend to have a deep understanding of quantum computing, but it seems like letting people actually play with it and build with it is the best way to help people learn.
This looks insane and like an obvious no brainer, talk about problem/solution fit! Will circulate around my PHD network who are in the space!
Bullish on Brandon and Quantum 🙌💎
Congrats! Looks cool - what are strong use cases for quantum computers that LLM from laptop wouldn't be comparable?
Natural-language to quantum is awesome, but at scale the pain is correctness: LLMs can emit circuits that compile yet violate backend constraints or produce meaningless results under noise.
Best practice is to compile into a stable IR (OpenQASM 3 or QIR), run deterministic validation passes (type checks, qubit mapping, depth/cost bounds) plus simulator cross-checks and optional error mitigation (Mitiq) before hitting hardware.
What IR do you standardize on across Rigetti, IonQ, and IQM, and can users export the exact compiled circuit plus metadata so runs are reproducible across backends?
👋 Hi Product Hunters!
I’m Brandon, co-founder of Conductor Quantum. Today we’re launching Coda, a natural language interface for quantum computers.
Coda lets you design, understand, and run quantum programs in natural language, without writing low-level quantum code. We built it because quantum computing is powerful, but still far too hard to actually use.
Quantum computers offer a new computing paradigm for simulating the world at the atomic level. This opens up new possibilities in chemistry, materials science, and drug discovery that push beyond what the largest classical supercomputers can handle.
The problem is most material scientists or biochemists can't use a quantum computer today - the barrier to entry to learn all the new bespoke tools, and the quantum information science is way too high. This is why we are building Coda.
Our long-term goal is simple: access to a quantum computer from every desk.
It’s built for domain experts and technical teams who want to explore real quantum use cases today and prototype faster. Also, it’s built for people new to quantum computing who want a practical, hands-on way to learn.
One of the first quantum computers we’re offering on our platform is Rigetti’s 84-qubit quantum computer, plus IonQ and IQM. We also support qubit simulations via IBM Qiskit and NVIDIA cuQuantum + CUDA-Q.
We’re early and learning fast, and we’d love your feedback.
Happy to answer any questions 👋