01
The workforce
Upskill.
qBook interactive curriculum and university partnerships bring students and teams into quantum, from a first circuit to production-ready skills.
qBook2000+ universitiesInteractive labs
qBraid: the quantum cloud platform. Build, run, and deploy quantum programs on 20+ QPUs and simulators.
Build, run, and deploy quantum programs across 20+ QPUs and simulators through one SDK. Upskill with qBook courses, scale your projects with AI tooling, and share what you make with the community.
Free to start. No setup, no credit card.
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001/PARTNERS
Integrated with the hardware and clouds building quantum.
002/WHAT YOU CAN DO
Upskill, build, run, deploy.
One platform.
Upskill with courses, build in the browser, run on real devices, and deploy your work — the whole quantum workflow in one place, so quantum becomes something you ship, not something you wait for.
02
The workspace
Build.
A browser IDE with an AI assistant, CLI, and an open-source SDK that plugs into every major framework. Pre-configured environments come pinned and reproducible, so the work starts at the algorithm, not the toolchain.
Cloud IDE16+ frameworksAI assistant
03
The devices
Run.
20+ QPUs and simulators alongside GPU and CPU compute. 11 providers behind one SDK and one API. Switch backends with a single line, no per-vendor rewrites.
20+ QPUs & sims11 providersOne SDK
04
The community
Deploy.
Publish a project from GitHub and it runs out-of-the-box in Lab for everyone. Explore what others have built and open any project as a notebook in one click.
ExploreqBraid ReadyOne-click run
003/PLATFORM
The quantum stack,
at your fingertips.
Lab, Runtime, and Gateway are one connected stack: build in the browser, run on real devices, and bring your own hardware online. qBook is a separate track for teams growing the quantum skills to use it.
01|LAB⟩
Build in your browser.
Open JupyterLab in your browser with Qiskit, Cirq, PennyLane, Braket, CUDA-Q, and 80+ quantum packages already installed. GPUs and QPUs are wired in from the start, so there is nothing to set up and nothing to keep in sync.
JupyterLab · VS Code · Terminal
B200 / H100 GPU compute
AI assistant trained on QC
02|RUNTIME⟩
Run on any device.
Write your program once and run it on any quantum provider. Runtime compiles it to each device and dispatches across 20+ backends for you, whether they run on gates or analog pulses.
Unified device access
Automatic compilation
Batch & parallel jobs
03|GATEWAY⟩
Connect your hardware.
Connect quantum control hardware in days, not quarters. Vendors integrate through a REST API with low-level pulse control, live telemetry, and standardized calibration. Once connected, your device is reachable from Lab and Runtime.
REST API integration
Pulse-level control
Bring Your Own Control
04|QBOOK⟩
Learn by running programs.
A quantum curriculum you learn by running programs. Circuit visualizations, exercises, and autograders take you from your first single-qubit gate to advanced algorithms like VQE and QAOA.
Executable notebooks
Autograded labs
University partnerships
004/DIFFERENTIATORS
Built for engineers shipping real quantum applications.
Other platforms hand you a device and a queue. qBraid covers everything around it. Discover a solution worth building on, run it across 20+ devices, then ship the result as something others can use.
QiskitCirqPennyLaneBraket
01
No setup.
From signup to first circuit in under 90 seconds. Environments pre-configured with Qiskit, Cirq, PennyLane, Braket, CUDA-Q.
02
Unified hardware.
20+ QPUs across neutral-atom, superconducting, and trapped-ion, all through a single SDK.
QiskitCirqPennyLaneBraketCUDA-Q
03
Framework agnostic.
Write once. Convert between every major quantum framework automatically.
SOC 2 controlsSSOAudit logs
04
Enterprise ready.
SOC 2 controls, SSO, and audit logs. Plus white-labeling, organization workspaces, and shared environments with analytics.
005/EXPLORE
Run what the community builds.
Discover quantum applications built by developers everywhere, from NVIDIA and PennyLane to independent researchers. Open any project as a notebook and run it out-of-the-box on real hardware. More arriving every week.
EXPLORE · PROJECTS01 / 06
NVIDIA CUDA-Q Academic
NVIDIA · Jupyter Notebook
Self-paced modules for building and optimizing hybrid quantum-classical algorithms with CUDA-Q.
cuda-qgpualgorithms
RUN OUT-OF-THE-BOX IN LAB
01
Discover.
Search across models, circuits, and full projects, filter by framework or provider, and preview each one before you open it. No local setup to try anything.
02
Build with AI.
Describe what you want and build it in the browser. The AI assistant drafts circuits, fixes errors, and converts between frameworks as you go.
03
Ship.
Turn your work into a runnable solution that qBraid hosts, so anyone can find it, fork it, and build on top — no environment setup required.
006/IN THEIR WORDS
Quantum researchers, educators, and infrastructure leads.
“The technical capacity of their team is undeniable. qBraid has become part of how we ship our research and educational events to the community.”
Pedro Lopes
Quantum Scientist · QuEra 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
“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
007/GET STARTED
Run your first circuit in ninety seconds.
Sign up free. No credit card. No installation. Just open a notebook and dispatch to a QPU.