Quantum Odyssey is an interactive game designed to teach quantum computing to AI enthusiasts through visual puzzles and comprehensive tutorials, making complex concepts accessible without prior mathematical knowledge.
Hi If you are remotely interested in deep diving how differently quantum computers work compared to our transistor-based and also the algebra behind in a fully interactive way that teach computer science from scratch, oh boy this is for you. Folks working in AI will find quantum math very similar to neural nets. I am the Dev behind Quantum Odyssey (AMA! I love taking qs) - worked on it for about 10 years (3+ during PhD, the visual method I developed ended up being my thesis, it is a complete Hilbert space visualizer), the goal was to make a super immersive space for anyone to learn quantum computing through zachlike (open-ended) logic puzzles and compete on leaderboards and lots of community made content on finding the most optimal quantum algorithms. The game has a unique set of visuals capable to represent any sort of quantum dynamics for any number of qubits and this is pretty much what makes it now possible for anybody 12yo+ to actually learn quantum logic without having to worry at all about the mathematics behind. This is a game super different than what you'd normally expect in a programming/ logic puzzle game, so try it with an open mind. Stuff you'll play & learn a ton about Boolean Logic – bits, operators (NAND, OR, XOR, AND…), and classical arithmetic (adders). Learn how these can combine to build anything classical. You will learn to port these to a quantum computer. Quantum Logic – qubits, the math behind them (linear algebra, SU(2), complex numbers), all Turing-complete gates (beyond Clifford set), and make tensors to evolve systems. Freely combine or create your own gates to build anything you can imagine using polar or complex numbers. Quantum Phenomena – storing and retrieving information in the X, Y, Z bases; superposition (pure and mixed states), interference, entanglement, the no-cloning rule, reversibility, and how the measurement basis changes what you see. Core Quantum Tricks – phase kickback, amplitude amplification, storing information in phase and retrieving it through interference, build custom gates and tensors, and define any entanglement scenario. (Control logic is handled separately from other gates.) Famous Quantum Algorithms – explore Deutsch–Jozsa, Grover’s search, quantum Fourier transforms, Bernstein–Vazirani, and more. Build & See Quantum Algorithms in Action – instead of just writing/ reading equations, make & watch algorithms unfold step by step so they become clear, visual, and unforgettable. Quantum Odyssey is built to grow into a full universal quantum computing learning platform. If a universal quantum computer can do it, we aim to bring it into the game, so your quantum journey never ends. Nice to watch: Khan academy style tutorials in qm/qc: https://www.youtube.com/@MackAttackx Physics teacher stream with 400hs in https://www.twitch.tv/beardhero
Researchers from the University of Innsbruck and NVIDIA developed an AI method using multimodal diffusion models to automatically generate efficient quantum circuits, significantly reducing circuit length and rediscovering textbook circuits like the Quantum Fourier Transform.
Researchers developed Quantum Elastic Weight Consolidation (QEWC), a framework that uses Quantum Fisher Information to help quantum AI systems retain knowledge during sequential learning, reducing catastrophic forgetting.
Quantinuum, NVIDIA, and Pfizer have developed ADAPT-GQE, a generative quantum AI framework using transformer models to efficiently generate quantum chemistry circuits for molecular simulation and drug discovery.
This paper presents a case study of human-AI co-discovery in mathematics, where AI assisted in expanding an intuition about sign-embedding quantum algorithms into a formal framework and proofs, with human judgment guiding route selection.