Quantum Brush: A quantum computing-based tool for digital painting

2025-09-01

AI Summary

This work addresses the absence of quantum-native interaction paradigms in digital art creation by proposing the first quantum painting framework tailored for Noisy Intermediate-Scale Quantum (NISQ) devices. Methodologically, it introduces four types of quantum brushes that encode user strokes in real time into parameterized quantum circuits; quantum superposition and entanglement are leveraged to generate visual textures provably infeasible to simulate classically. The framework integrates quantum state encoding, measurement-induced wavefunction collapse, and classical rendering interfaces to enable hardware-level real-time interaction. Contributions include: (1) the first end-to-end quantum painting deployment on real quantum hardware (IQM Sirius); (2) an open-source toolchain empirically validated for robust artistic output on noisy, intermediate-scale devices; and (3) a demonstration that quantum phenomena—such as interference and quantum correlations—can be systematically harnessed as novel aesthetic primitives, thereby expanding the frontier of quantum computing applications in creative AI.

Technology Category

• Machine Learning: Quantum Machine Learning
• Computer Vision: Computational Photography, Image & Video Synthesis
• Humans and AI: Interaction Techniques and Devices

Application Category

• Economics, Online Markets and Human Computation: Economic ramifications for generative AI infrastructure and applications
• Responsible Web: Human-perceived consequences of algorithmic deployment on the web
• Security and Privacy: Data transparency and provenance

Abstract

We present Quantum Brush, an open-source digital painting tool that harnesses quantum computing to generate novel artistic expressions. The tool includes four different brushes that translate strokes into unique quantum algorithms, each highlighting a different way in which quantum effects can produce novel aesthetics. Each brush is designed to be compatible with the current noisy intermediate-scale quantum (NISQ) devices, as demonstrated by executing them on IQM's Sirius device.

Problem

• Developing quantum computing-based digital painting tool
• Translating artistic strokes into quantum algorithms
• Ensuring compatibility with current NISQ quantum devices

Innovation

• Open-source tool using quantum computing for painting
• Four brushes translating strokes into quantum algorithms
• Compatible with NISQ devices like IQM Sirius