Quantum-Circuit-Based Visual Fractal Image Generation in Qiskit and Analytics
Hillol Biswas

TL;DR
This paper explores using quantum circuits in Qiskit to generate fractal images, specifically Julia sets, leveraging quantum phenomena like superposition and entanglement to create complex, intriguing patterns for quantum generative art.
Contribution
It introduces a novel method for fractal image generation using quantum circuits, combining quantum principles with classical fractal rules for the first time.
Findings
Generated Julia set datasets using quantum circuits.
Demonstrated quantum superposition and entanglement in fractal patterns.
Proposed a new direction for quantum generative arts.
Abstract
As nature is ascribed as quantum, the fractals also pose some intriguing appearance which is found in many micro and macro observable entities or phenomena. Fractals show self-similarity across sizes; structures that resemble the entire are revealed when zoomed in. In Quantum systems, the probability density or wavefunction may exhibit recurring interference patterns at various energy or length scales. Fractals are produced by basic iterative rules (such as Mandelbrot or Julia sets), and they provide limitless complexity. Despite its simplicity, the Schr\"odinger equation in quantum mechanics produces incredibly intricate patterns of interference and entanglement, particularly in chaotic quantum systems. Quantum computing, the root where lies to the using the principles of quantum-mechanical phenomenon, when applied in fractal image generation, what outcomes are expected? The paper…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
