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qBraid
001/LAB · THE QUANTUM IDE

Quantum development, in the browser.

A web-based IDE built for quantum software development. 30+ pre-configured environments, GPU and QPU access, and AI coding agents like Claude Code and Codex, right in your browser.

002/CAPABILITIES

Everything you need to build with quantum.

Lab ships ready to go: no Docker images to pull, no Python versions to pin, no GPU drivers to chase. Here's what that looks like.

01

A familiar IDE, ready to go.

JupyterLab notebooks, a terminal, and a full qBraid VS Code deployment, with 30+ pinned, reproducible environments for quantum ML, chemistry, and error correction. No conda, no Docker images to pull, no Python versions to pin.

  • JupyterLab · VS Code · Terminal

  • 30+ curated, reproducible environments

qBraid Lab: a JupyterLab notebook running a quantum program in the browser, with the Quantum Jobs panel showing recent runs across Rigetti, IQM, AQT, and qBraid.
02

AI coding agents, built in.

Claude Code and Codex run right in Lab, with Agent Mode for natural-language workflows and a live canvas for the artifacts they build. Describe a circuit and watch it draft, run, and submit the job for you.

  • Claude Code and Codex in-editor

  • Agent Mode + live artifact canvas

The qBraid AI assistant preparing a Bell-state job on the qBraid QIR simulator, with the generated OpenQASM shown on a side canvas.
03

Devices and jobs, in one place.

Browse the live device fleet, submit jobs, and track results from panels built into Lab, with no context switching and no separate dashboard. Sign in with GitHub, clone private repos, push from the terminal, and get Slack notifications.

  • Live device fleet + job tracking

  • GitHub, Git, and Slack integrated

The qBraid quantum jobs table listing runs across providers (Rigetti, IQM, AQT, qBraid) with status, device, shots, and cost per job.
003/COMPUTE

CPU, GPU, and QPU from one session.

Launch a CPU instance in seconds, spin up on-demand GPUs by the minute (from A100s and H100s up to H200, B200, and GH200, plus multi-GPU nodes), and dispatch to real QPUs, all from the same notebook. Scale up when you need to, or bring your own GPU setup.

  • Small / Medium / Large CPU instances

  • 20+ on-demand GPU configurations

  • Neutral-atom, superconducting, and trapped-ion QPUs

See compute pricing
qbraid labSESSION · ACTIVE001 / CPUX86 · ARM · 24 CORES002 / GPUB200 · H100 · CUDA 12003 / QPU20 DEVICES · 11 PROVIDERSFIG. 01 — UNIFIED COMPUTE PLANE1 INTERFACE · 3 PARADIGMS
004/IN THEIR WORDS

Built by quantum practitioners.

Significantly reduces the barrier to entry to quantum computing. The biggest impact is the ability to use both QPUs alongside CPUs and GPUs.

Yuvraj Mohan
Lead Program Manager · Rigetti Computing

With qBraid, all 75 students were writing quantum code in under fifteen minutes. I got to spend class teaching algorithms, not debugging conda.

Sandy Irani
Professor, CS · UC Irvine
005/OPEN THE IDE

Open a notebook, work with quantum.

Launch the cloud IDE with CPU, GPU, and QPU in one session. No installation, no setup. Free to start.