Quantum Cinema: An Interactive Cinematic Exploration of Quantum Computing Hardware via Generative World Models
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Abstract (arXiv)
Quantum computing promises transformative advances across science and industry, yet the physical hardware that enables these computations remains invisible to the public: quantum processors operate inside sealed dilution refrigerators at temperatures near absolute zero, making direct observation impossible. This "imagination gap" between quantum computing's growing societal impact and the public's ability to visualize it represents a significant barrier to quantum literacy and workforce development. We present Quantum Cinema, an open-source, browser-based interactive application that closes this gap by transforming invisible quantum hardware into explorable, cinematic experiences using generative world models. Quantum Cinema guides users through a four-act narrative -- from the foundational Nobel Prize-winning science of quantum entanglement, through curated video introductions to three major quantum computing architectures (trapped-ion, neutral-atom, and superconducting systems), into immersive three-dimensional generative worlds that make invisible quantum phenomena observable, and finally to interactive radar-chart comparisons grounded in real quantum device specifications. All three-dimensional environments are generated using WorldLabs' generative world model platform and are scientifically grounded in curated metrics from Amazon Web Services (AWS) Braket quantum hardware. Quantum Cinema requires no installation, no specialized hardware, and no quantum computing background. It is designed to serve two distinct communities: scholars and developers seeking to replicate or extend the platform, and educators, researchers, and science communicators seeking an intuitive tool for explaining quantum hardware to diverse audiences. This paper describes the system architecture, the generative world model pipeline, use cases for both communities, and directions for future work.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 9 of its 44 references that are in the map. First posted on arXiv 14 Jun 2026.
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References · 9
- 2020Variational Quantum Algorithmscited by 692
- 2024Understanding World or Predicting Future? A Comprehensive Survey of World Modelscited by 166
- 2024Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyondcited by 111
- 2022Near-Term Quantum Computing Techniques: Variational Quantum Algorithms, Error Mitigation, Circuit Compilation, Benchmarking and Classical Simulationcited by 13
- 2025Artificial intelligence for representing and characterizing quantum systemscited by 10
- 2023QuantumEyes: Towards Better Interpretability of Quantum Circuitscited by 6
- 2023VENUS: A Geometrical Representation for Quantum State Visualizationcited by 4
- 2026QSignAI: Quantum-Randomness-Seeded Identity Signatures at the Intersection of AI for Science and Science for AIcited by 2
- 2026Blockchain Infrastructure for Intelligent Cyber--Physical--Social Systems:Post-Quantum Security, Interoperability, and Trustworthy Data Economies in the Era of Embodied AIcited by 1
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- 2026WorldBench: Benchmarking Physical Understanding of World Models by Isolating Physics Concepts
- 2026QuPAINT: Physics-Aware Instruction Tuning Approach to Quantum Material Discovery
- 2025WoW: Towards a World omniscient World model Through Embodied Interaction
- 2025Physics-inspired Generative AI models via real hardware-based noisy quantum diffusion
- 2026Quantum-Audit: Evaluating the Reasoning Limits of LLMs on Quantum Computing
- 2026QCalEval: Benchmarking Vision-Language Models for Quantum Calibration Plot Understanding