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Products that do what Feynman Quantum Copilot does

Run Quantum Simulations with Zero Quantum Knowledge.

  1. 1PW

    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

  2. 2QJ

    2020 · quantumjavascript.app

  3. 3IV

    The video demo runs a 7b Model on a normal gaming GPU. I think it already works quite well (accounting for the limited hardware power). :)

    2024 · github.com

  4. 4FI
  5. 5ZP

    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

  6. 6QQ
  7. 7
    Neble106

    Learn faster with AI-powered mental models

    2022

  8. 8

    Your AI pair programmer

    2021

  9. 9QA

    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

  10. 10QS

    2016 · github.com

  11. 11

    A creative writing companion on your website

    2023

  12. 12

    Open-source distributed quantum compute network

    Apr 2026 · quip.network

  13. 13QG

    2017 · quantumgame.io

  14. 14OS

    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

  15. 15
    QOSim7

    Build,Simulate-Understand Quantum Computing Visually

    2025

  16. 16CQ
  17. 17

    Let's Story-fy your concept.

    2025

  18. 18

    Zero-Knowledge Proofs (ZKPs) let an untrusted proved show that computation was executed correctly without revealing the inputs to the verifier. However to prove anything, the computation first has to be expressed as a circuit: a system of polynomial equations (constraints) over a finite field. Circuits are the assembly language of zk and every constraint costs prover (and sometimes verifier) time, so production circuits are aggressively hand-optimized. Over the last months, we have been experimenting with writing formal specifications instead and letting LLMs produce the circuits: as long as…

    Jul 2026 · zk.golf

  19. 19RL

    Hello Hacker News! We're Yangqing, Xiang and JJ from lepton.ai. We are building a platform to run any AI models as easy as writing local code, and to get your favorite models in minutes. It's like container for AI, but without the hassle of actually building a docker image. We built and contributed to some of the world's most popular AI software - PyTorch 1.0, ONNX, Caffe, etcd, Kubernetes, etc. We also managed hundreds of thousands of computers in our previous jobs. And we found that the AI software stack is usually unnecessarily complex - and we want to change that. Imagine if you are a…

    2023 · lepton.ai

  20. 20

    Hi everyone, I started working on nanoeuler after the ban of anthropic's fable because my ambition and dream is to work in the AI field in anthropic. The two interesting reasons that led me to create nanoeuler were (1) interfacing with llm does not mean understanding how they are composed and (2), working on llm with a very low-level layer to understand the correlation between parameters and data and growth of the model and how the GPU works and how some layers can be optimized. So I started working on it with a research aspect by making nanoeuler grow more and more but doing one step after…

    Jun 2026 · github.com

  21. 21
    Qwarm73

    Write tests in plain English AI agents run them in browsers

    Feb 2026 · qwarm.ai

  22. 22LQ
  23. 23SW

    2022 · github.com

  24. 24

    First Copilot for Chemical Formulation

    2025

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