01
Zero setup.
Pre-configured environments boot in under 90 seconds. No conda, no Docker, no driver chase, just open a notebook and write.
001/FOR DEVELOPERS
Build with quantum.
Run your first circuit in under 90 seconds. Cloud IDE with AI assistance, 20+ quantum devices, and an open-source SDK that works with every major framework.
qbraid-cli — live
>
20+QUANTUM DEVICES
1M+PIP INSTALLS
30K+DEVELOPERS
< 90sCOLD START
002/THE TOOLBELT
Everything a quantum developer actually needs.
The boring infrastructure is handled: environments, drivers, queues, billing. You focus on circuits and results.
02
20+ quantum devices.
IonQ, QuEra, IQM, Rigetti, AQT, and more, all through a single SDK. Switch backends with a one-line change.
03
Framework agnostic.
Write in Qiskit, Cirq, Braket, PennyLane, PyQuil — 16+ frameworks in all. The qBraid SDK converts between them automatically.
04
Context-aware AI.
Claude Code and Codex integrated with deep awareness of quantum SDKs. Design a circuit from a Hamiltonian, implement an algorithm straight from the paper, and compress depth until it fits real hardware.
05
Open source, Apache 2.0.
The qBraid SDK and its extensions (pyqasm, qbraid-qir, qbraid-algorithms) are on GitHub. Fork them, contribute, or extend with a custom provider.
06
Run local or on Lab.
The SDK is a plain pip install: prototype on your laptop, then scale the same code to qBraid Lab with GPU and QPU compute. Same code, same results.
003/OPEN SOURCE
An open-source stack.
The SDK, compilers, and algorithm library all ship as Python packages: Apache 2.0, on GitHub, built to be extensible.
PYTHON · SDK01
qbraid
Platform-agnostic quantum runtime framework. Speaks 16+ frameworks with 20+ inter-framework conversions registered out of the box.
$pip install qbraid
COMPILER · QIR02
qbraid-qir
qBraid-SDK extension on an LLVM-based quantum compiler. Lower any supported high-level language to QIR for downstream tooling.
$pip install qbraid-qir
COMPILER · QASM03
pyqasm
Validation and compilation toolkit for OpenQASM 3, built on openqasm3.parser, with full language support for hybrid programs.
$pip install pyqasm
RESEARCH · ALGORITHMS04
qbraid-algorithms
A library of quantum algorithm resources to build, simulate, and benchmark hybrid quantum-classical routines.
$pip install qbraid-algorithms
004/TOOLING
The platform, in hand.
Drive qBraid from your shell, your own app, or a full local IDE. A pip (or npm) install away.
TERMINAL · CLI01
qbraid-cli
Command-line interface for the platform. Manage AI agents, devices, jobs, environments, and kernels with the same auth as Lab.
$pip install qbraid-cli
CLIENT · PYTHON02
qbraid-core
Low-level Python interface to qBraid cloud services: raw endpoint access and the lightweight way to build apps on qBraid.
$pip install qbraid-core
CLIENT · JAVASCRIPT03
qbraid-core-js
The same cloud services from Node and the browser: scoped @qbraid-core/* packages to authenticate, browse devices, and track and manage jobs from a JS or TS app.
$npm install @qbraid-core/base
IDE · LAB04
qbraid-lab
The hosted IDE, runnable locally. JupyterLab and VS Code preloaded with quantum extensions, wired to GPU and QPU compute.
$pip install qbraid-lab
REST API
Prefer raw HTTP? Hit the documented endpoints from any language to browse devices, submit jobs, and build your own app on top.
VS CODE
Work locally with the Environment Manager and Quantum Console extensions.
005/AI
Quantum, in plain English.
Grounded in live platform context through our own MCP server, from chat and natural-language workflows to codeq, our AI coding agent.
AI · CHAT01
AI Chat
A conversational assistant with deep knowledge of quantum computing and the qBraid ecosystem, grounded in live device, job, and docs context via our MCP server.
AI · AGENT MODE02
Agent Mode
Execute complete quantum workflows from natural language: design a circuit, choose a device, submit the job, and read back results.
AI · CODING AGENT03
codeq
qBraid's AI coding agent. Launch it on any repo, locally, in Lab, or on remote compute, to write, run, and debug quantum code alongside you.
$qbraid agents launch -t codeq
006/START BUILDING
Run your first circuit in ninety seconds.
Open the browser IDE, pip-install the SDK, and dispatch to a real QPU. Free to start, no install.