Call for Papers: Special Issue on Quantum Visual Computing
IEEE CG&A seeks submissions for this upcoming special issue.
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Submissions Due: 23 March 2024
Submissions due: 23 March 2024
Publication: September/October 2024
In the near future, quantum computing is expected to provide superpolynomial speedups—and/or reduction in energy consumption—compared to conventional (super-)computers in a multitude of use cases. However, to benefit from these speedups, a radically new approach to computing is required, relying on the quantum-mechanical phenomena of qubit superposition, entanglement, interference, and resulting exponential quantum parallelism. However, qubits cannot be copied and collapse to binary states on measurement. The significant potential benefits when full-fledged quantum computers become available, coupled with the challenges of a novel, often unintuitive approach, result in a vibrant and active research area in all domains of computing.
This special issue aims to explore the field of quantum visual computing and to encourage the exchange of ideas between quantum and visual computing experts. Can computer vision, computer graphics, or image processing benefit from quantum information processing? For instance, can we improve or accelerate neural radiance fields? Can rendering and ray tracing be accelerated with quantum computers? Can visual computing help create an intuition for quantum computing using interactive visualizations or quantum games? Can we create novel visual art with quantum computing? In general, can visual computing benefit from the advances in modern quantum computing and vice versa?
This special issue accepts contributions on all topics in Quantum Visual Computing, including:
Quantum and quantum-inspired algorithms for rendering, ray tracing, geometry processing, and computer animation
Quantum machine learning for image generation and computer vision
Adiabatic quantum algorithms for correspondence problems, robust fitting, and visual computing
Adiabatic quantum annealing and learning
Quantum neural networks for visual computing
Visualization of quantum algorithms
Visual and interactive approaches in quantum computing education
Quantum computing applications in visual art
For author information and guidelines on submission criteria, visit the Author Information page. Please submit papers through the ScholarOne system and be sure to select the special issue or special section name. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts, to the ScholarOne portal. If requested, abstracts should be sent by email to the guest editors directly.