Now in public beta

The Research Platform Quantum Scientists Actually Use

Track experiments across IBM Quantum, IonQ, and Braket. Collaborate in real-time. Never lose a result again.

bell_state.py

import qlab qlab.init() # that's it from qiskit import QuantumCircuit qc = QuantumCircuit(2) qc.h(0); qc.cx(0, 1) # ↑ Q-Lab tracks it automatically

80+

Integrated Tools

IBM · IonQ · Braket

Supported Providers

Real-time

Collaboration

Zero Config

SDK Setup

Features

Everything a quantum research team needs

From circuit capture to publication, Q-Lab handles the full lifecycle so you can focus on the science.

⚗️

Experiment Tracking

Every circuit run is automatically captured — qubits, depth, gates, results, metadata. Zero boilerplate required.

📊

Circuit Analytics

Visualise gate depth trends, non-Clifford ratios, and health scores across all your runs in real time.

🔌

Multi-Provider

IBM Quantum, IonQ, Amazon Braket and more. One SDK, one dashboard, every backend you care about.

🤖

AI Insights

Ask questions about your experiments in plain English. Q-Lab Copilot surfaces patterns your eyes would miss.

👥

Collaboration

Share projects, annotate runs, and get live updates as teammates push results — no refresh needed.

📄

Publication Tools

Export figures, auto-generate methods sections, and publish reproducible experiment packages to arXiv.

How it works

No configuration files. No YAML. Just three lines and you're tracking.

Install the SDK

One pip command, no system dependencies. Works alongside any Qiskit or PennyLane workflow you already have.

pip install qlab-sdk

Initialise once

Call qlab.init() at the top of your script or notebook. Q-Lab patches Qiskit's QuantumCircuit transparently.

qlab.init()

Track everything

Every circuit execution is captured — backend, depth, qubit count, results, calibration data, and timestamps.

# nothing else required

Join researchers who use Q-Lab to capture, compare, and reproduce every circuit run — from prototype to publication.