Variational Quantum Brushes
Fuente:
arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866909978684555264 |
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| author | Lu, Jui-Ting Ennes, Henrique Huang, Chih-Kang Abbassi, Ali |
| author_facet | Lu, Jui-Ting Ennes, Henrique Huang, Chih-Kang Abbassi, Ali |
| contents | Quantum brushes are computational arts software introduced by Ferreira et al (2025) that leverage quantum behavior to generate novel artistic effects. In this outreach paper, we introduce the mathematical framework and describe the implementation of two quantum brushes based on variational quantum algorithms, Steerable and Chemical. While Steerable uses quantum geometric control theory to merge two works of art, Chemical mimics variational eigensolvers for estimating molecular ground energies to evolve colors on an underlying canvas. The implementation of both brushes is available open-source at https://github.com/moth-quantum/QuantumBrush and is fully compatible with the original quantum brushes. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_24173 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Variational Quantum Brushes Lu, Jui-Ting Ennes, Henrique Huang, Chih-Kang Abbassi, Ali Quantum Physics Graphics Machine Learning Optimization and Control Quantum brushes are computational arts software introduced by Ferreira et al (2025) that leverage quantum behavior to generate novel artistic effects. In this outreach paper, we introduce the mathematical framework and describe the implementation of two quantum brushes based on variational quantum algorithms, Steerable and Chemical. While Steerable uses quantum geometric control theory to merge two works of art, Chemical mimics variational eigensolvers for estimating molecular ground energies to evolve colors on an underlying canvas. The implementation of both brushes is available open-source at https://github.com/moth-quantum/QuantumBrush and is fully compatible with the original quantum brushes. |
| title | Variational Quantum Brushes |
| topic | Quantum Physics Graphics Machine Learning Optimization and Control |
| url | https://arxiv.org/abs/2512.24173 |