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Quip Network

Open-source distributed quantum compute network

Quip.Network is a unified marketplace for quantum computing. Quantum operators contribute spare compute, classical operators verify solutions, and anyone can submit jobs to real quantum hardware without needing a PhD. The testnet is now open to the public. Here's what you can do: → Run a CPU or GPU node and earn rewards by verifying quantum solutions → Submit solvers to the first optimization subnet → Get started with the node setup guide on Gitbook → Explore the open-source codebase on GitHub

Top comment

Hey Product Hunt! I'm Colton, CEO and co-founder of Postquant Labs, the development company behind Quip.Network. We built Quip because quantum computing is stuck behind million-dollar hardware, months-long consulting engagements, and software that doesn't port across architectures. Meanwhile, the quantum computers that do exist sit idle most of the time even though they often have to be cooled near absolute zero and can't easily be turned off. Our network fixes that by letting quantum operators share their spare capacity through a decentralized marketplace. Developers can submit solvers to an open source marketplace where consumers can pay them by the execution. Classical computers, regular CPUs and GPUs, collaborate with these quantum operators on hybrid solvers and help secure the network by verifying quantum solutions. Operators of both types earn rewards every time a consumer requests a developer's solution. The first quantum subnet runs real optimization problems, the kind that show up in finance, logistics, and manufacturing. Early testing shows quantum hardware is competitive with large GPU clusters on speed, solution quality, and energy cost. We also built quantum-resistant wallets that protect digital assets against emerging quantum threats. No migration required. They work natively with infrastructure you already use. 13,000+ people signed up ahead of launch. The testnet is live and open to everyone. ou can spin up a node in minutes with hardware you already have and compete against D-Wave Advantage2 systems among others. We want as many people as possible recommending new solver algorithms, testing the infrastructure, and telling us what breaks. We would love to hear your feedback. Ask me anything in the comments.