Conductor Quantum @conductorquant
Build something Quantum Conductor builds AI systems for operating and scaling quantum computers. conductorquantum.com San Francisco Joined May 2024-
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Here's How: open.substack.com/pub/conductorq…
Most QPUs sit isolated in labs. A researcher submits a job, waits, inspects, repeats. All manual. Coda Node closes that loop. Bring your own quantum hardware into an intelligent workflow.
@nvidia's Ising models for quantum calibration and error correction are live in our Control API. Ising Calibration 1 is a 35B-parameter vision-language model that reads quantum calibration plots and tells you what the experiment shows and what to do next. It scores 74.7 zero-shot on QCalEval, ahead of GPT-5.4, Gemini 3.1 Pro, and Claude Opus 4.6. Ising Decoding ships in two variants for surface-code QEC: a fast model (0.9M params) for low-latency decoding, and an accurate model (1.8M params) that beats correlated PyMatching up to distance-13. Both deliver 2.5x speedup and 3x accuracy over the prior state of the art. Calibration: docs.conductorquantum.com/control/agents… Decoder: docs.conductorquantum.com/control/models…
Read the paper: research.nvidia.com/publication/20… More on NVIDIA Ising: nvidia.com/en-us/solution… EeroQ's announcement: eeroq.com/nvidia-ising/
Using EeroQ's electron-on-helium chip, NVIDIA Ising, and our Control software, we built a proof of concept autonomous quantum lab. From a plain-English prompt, the setup ran multiple iterations of a real experiment, recording results on real hardware. This is where quantum is headed.
We're proud to have collaborated with @nvidia and @QCHardware on the release of NVIDIA Ising Calibration, the first open Vision Language Model for quantum calibration. Together with EeroQ, we used it to build a working proof of concept for an autonomous quantum computing lab. 🧵
@rigetti's Cepheus-1-108Q, a 108-qubit system, is now live on Coda. Try it now: coda.conductorquantum.com
Today we’re announcing Coda model context protocol. AI agents can now use quantum computers. One tool for quantum transpilation, simulation, and execution incl. @IBM Qiskit and @nvidia CUDA-Q. Learn how to get started below conductorquantum.substack.com/p/introducing-…
At EeroQ ( @QCHardware ) we’ve integrated AI into our R&D workflow to accelerate development of our electrons-on-helium qubit technology and streamline complex device tuning. Excited to be "building something quantum" with the folks at @conductorquant ! eeroq.com/eeroq-integrat…
New in Coda: an AI-powered circuit editor, MCP for quantum in AI apps, support for 10,000+ qubit algorithms, and a partnership with @nvidia at MIT’s iQuHACK. Everyone’s talking about the future. We’re building it.
NVIDIA cuQuantum and CUDA-Q are making #quantumcomputing more accessible through GPU-accelerated quantum simulations. Check out how @conductorquant's Coda is enabling the next generation of developers to convert ideas into quantum circuits by harnessing these simulations. ➡️ conductorquantum.substack.com/p/coda-natural…
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.
Try it here: coda.conductorquantum.com
Coda is now open for sign-ups. It’s the first AI platform that can create and run quantum algorithms on real quantum computers. We’re putting quantum computing on everyone’s desk and accelerating the path to real-world impact. Sign up now: conductorquantum.com
The biggest myth about quantum ML? That it'll replace AI. Think of it as a turbo, not a replacement. Specialized acceleration > wholesale replacement. twelve days of coda Day 5: "What is QML?" @conductorquant
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