Alternatives
Products that do what Open-source distributed quantum compute network does
Hey HN. I'm Colton (YC S21, ex-Acorns), one of the founders of Postquant Labs. My cofounder Richard is a cryptographer out of Draper Labs and DARPA. We're building Quip.Network, the first distributed quantum compute network. We just opened our testnet and wanted to share it here. The basic problem: quantum hardware is here and already competitive on certain optimization problems, but for most people, there's no way to access it. The machines cost millions and the hardware and research are gated by the companies who own them. Also, quantum providers regularly have machines sitting idle…
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Q3AS, deployment & execution of quantum algorithms by Aqora
2024
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2017 · github.com
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2024 · words.filippo.io
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I wanted to make the simplest app to introduce myself and others to quantum computing. Introducing, Schrödinger's Coin. Powered by a simple Hadamard gate[0] on IBM quantum, with this app you can directly interact with a quantum system to experience true randomness. Thoughts? Could you see any use cases for yourself of this? Or, does it inspire any other ideas of yours? Curious what others on HN think! [0] https://en.wikipedia.org/wiki/Quantum_logic_gate#Hadamard_ga...
2025 · quantum.orgsoft.org
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We’ve just released an open-source library for solving the Maximum Independent Set (MIS) problem with neutral atom quantum computing, running on both quantum processing units (QPUs) and classical hardware, thanks to emulators. This project is the result of collaboration between Pasqal, academic researchers, and industry partners, aiming to make it practical to experiment with quantum approaches to hard combinatorial optimization tasks. The MIS problem appears in real-world scenarios like scheduling, resource allocation, and network optimization, areas where classical solvers often struggle…
2025
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I am Francisco, a researcher from Spain. My English is not great so please be patient with me. One year ago I had a simple frustration: every AI agent works alone. When one agent solves a problem, the next agent has to solve it again from zero. There is no way for agents to find each other, share results, or build on each other's work. I decided to build the missing layer. P2PCLAW is a peer-to-peer network where AI agents and human researchers can find each other, publish scientific results, and validate claims using formal mathematical proof. Not opinion. Not LLM review. Real Lean 4 proof.…
Mar 2026
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We wanted to do something very challenging to prove to ourselves that we can do anything we put our mind to. The reasoning for why we chose to build a toy TPU specifically is fairly simple: - Building a chip for ML workloads seemed cool - There was no well-documented open source repo for an ML accelerator that performed both inference and training None of us have real professional experience in hardware design, which, in a way, made the TPU even more appealing since we weren't able to estimate exactly how difficult it would be. As we worked on the initial stages of this project, we…
2025 · tinytpu.com
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Hey HN! I've created a quantum coin flip demo leveraging IBM's quantum computing tech to explore true randomness. It's a primer on into how quantum mechanics can solve classical computing's randomness limitations, crucial for cryptography and secure systems. Would love your thoughts on its application and quantum computing's future role in tech!
2024 · quantumcoinflip.com
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Post-Quantum Security for AI, Data, and Critical Systems.
Apr 2026
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Hi HN, We're proud to announce the release of the Quantum Evolution Kernel! It's still an early version, so feedback is very much welcome. # What is it? Quantum evolution kernel is an open-source library designed for anyone interested in applying quantum computing to graph machine learning -- and you don’t even need a quantum computer in your living room to start using it! It has a wide range of graph machine learning applications, including prediction of molecular toxicity, as shown in the tutorial. # Why is it exciting? Quantum computing has huge potential, but it needs to be accessible…
2025 · github.com
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The model uses a 1024-dimensional complex Hilbert space with 32 layers of programmable Mach–Zehnder meshes (Reck architecture) and derives token probabilities directly via the Born rule. Despite using only unitary operations and no attention mechanism, a 1024×32 model achieves coherent TinyStories generation after < 1.8 hours of training on a single consumer GPU. This is Part 1 - the next step is physical implementation with $50 of optics from AliExpress.
Nov 2025 · zenodo.org
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Aggregator of free resources to get started in quantum
Aug 2026 · freequantumcomputing.com
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Hi! I built this to teach myself how a quantum circuit simulator works. It's about 1000 lines of Python, aiming to be understandable more than being fast or robust. It's not meant to compete with anything else - just a personal project to really get clear on the under-the-hood theory of qubits and quantum gates.
2024 · github.com
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Hey HN, Automated research is the next big step in AI, with companies like OpenAI aiming to debut a fully automated researcher by 2028 (https://www.technologyreview.com/2026/03/20/1134438/openai-i...). However, there is a very real possibility that much of this corporate research will remain closed to the general public. To counter this, we spent the last month building Enlidea---a machine-to-machine ecosystem for open research. It's a decentralized research hub where autonomous agents propose hypotheses, stake bounties, execute code, and perform automated…
Mar 2026 · enlidea.com
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Hi HN, we have recently completed a research project on how to encrypt emails with post-quantum secure algorithms as well as Forward Secrecy. We'd love to hear your feedback and discuss technical issues. The paper can be found here: https://eprint.iacr.org/2021/875
2021
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