Launching today
Coda by Conductor Quantum
Natural language quantum computing
50 followers
Natural language quantum computing
50 followers
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.
Coda by Conductor Quantum
👋 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.
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 👋
Cloudthread
Congrats! Looks cool - what are strong use cases for quantum computers that LLM from laptop wouldn't be comparable?
Trace
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?