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Q-lab
Track, debug, and scale quantum experiments.
Q-Lab is a free research platform built for Qiskit researchers and developers. One line of code passively captures everything — circuit structure, backend calibration, shot results, and execution quality. No manual logging. No lost runs. Beyond tracking: benchmark quantum vs classical, detect calibration drift, score reproducibility, get AI insights, compare hardware, and search experiments in natural language — all free. soqlab.com
Building the OS for the Quantum Industry ⚛️
Hi everyone! I’m Yasseen, the founder of Q-Lab.
I started building Q-Lab because I noticed a major gap in the developer experience for quantum computing. While working on experiments using Qiskit, I realized there was no dedicated way to track, debug, and analyze my runs. I was stuck juggling messy logs and fragmented data, which made scaling any real research nearly impossible.
I built Q-Lab to turn that experiment chaos into a structured, reproducible pipeline.
What Q-Lab does for you:
- Unified Observability: Track gate fidelity, noise drift, and execution costs in one place.
- Experiment Orchestration: Manage hybrid (Quantum-Classical) pipelines without the "spaghetti" code.
-Total Reproducibility: Automatically capture environment snapshots and metadata for every run.
It’s free, it’s live, and I’m currently opening the beta to the first 50 labs and individual developers. My goal is to build a platform that actually solves the "plumbing" problems so you can get back to the physics.
I’d love to hear your thoughts—what’s the biggest bottleneck you face in your current quantum workflow? Let’s chat in the comments!
www.soqlab.com
About Q-lab on Product Hunt
“Track, debug, and scale quantum experiments.”
Q-lab was submitted on Product Hunt and earned 0 upvotes and 1 comments, earning #1 Product of the Day. Q-Lab is a free research platform built for Qiskit researchers and developers. One line of code passively captures everything — circuit structure, backend calibration, shot results, and execution quality. No manual logging. No lost runs. Beyond tracking: benchmark quantum vs classical, detect calibration drift, score reproducibility, get AI insights, compare hardware, and search experiments in natural language — all free. soqlab.com
On the analytics side, Q-lab competes within Developer Tools, Artificial Intelligence and Data & Analytics — topics that collectively have 996k followers on Product Hunt. The dashboard above tracks how Q-lab performed against the three products that launched closest to it on the same day.
Who hunted Q-lab?
Q-lab was hunted by yasseen nandally. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Q-lab including community comment highlights and product details, visit the product overview.
yasseen nandally