Today we're releasing QCircuitEval, a benchmark for quantum code generation.

Frontier models are saturating it. We're building a harder one. We invite researchers across academia and industry to set the standard with us for quantum circuit generation with LLMs, and to pave the way for quantum algorithm discovery.

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.

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. 🧵

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.

Announcing Coda: natural language quantum computing Tell Coda what you want to do. It builds the quantum program and runs it on real quantum hardware. Live on @rigetti, @IonQ_Inc, and @meetIQM quantum computers with simulations via @IBM @qiskit and @nvidia cuQuantum + CUDA-Q.

Try it here: coda.conductorquantum.com/