Call for Papers
2026 International Conference on Advanced Algorithms, Optical Computing and Photonics (AAOCP 2026) sincerely invites scholars, researchers and industry practitioners worldwide to submit original and unpublished research papers. We welcome theoretical analysis, algorithm modeling, numerical simulation, experimental verification and interdisciplinary research achievements covering advanced algorithms, optical computing, photonics and related cutting-edge disciplines. All accepted papers will be included in the conference proceedings and eligible for mainstream academic indexing, providing a high-end platform for international academic exchange and research cooperation. Submissions may focus on, but are not limited to, the following themes:
Tracks & Topics
▲ Algorithmic Foundations for Optical Computing
Machine learning-driven optical hardware design (e.g., inverse design of photonic devices using deep learning).
Hybrid quantum-classical algorithms for photonic quantum computing.
Error correction and fault-tolerant algorithms for photonic integrated circuits (PICs).
Optimization algorithms for low-power, high-speed optical computing architectures.
▲ Optical Neural Networks & Neuromorphic Computing
Training and inference algorithms for optical neural networks (ONNs).
Spiking neural network models implemented with photonic components.
Algorithm-hardware co-optimization for energy-efficient ONN accelerators.
In-memory computing via optical reservoir computing.
▲ Computational Imaging & Signal Processing
Compressive sensing algorithms for single-pixel and coded-aperture imaging.
Real-time image reconstruction algorithms for dynamic scenes.
Deep learning-based phase retrieval in coherent imaging systems.
Multi-modal fusion algorithms for optical and non-optical sensing data.
▲ Quantum Optics & Photonics Algorithms
Quantum state tomography algorithms for photonic quantum systems.
Entanglement generation and verification protocols via adaptive optics.
Algorithms for quantum communication networks (e.g., QKD optimization).
Quantum-inspired classical algorithms for photonic signal processing.
▲ High-Performance Algorithms for Photonic Sensors & Systems
Edge computing algorithms for on-chip photonic sensors.
Adaptive calibration algorithms for LiDAR and 3D sensing systems.
Distributed optimization algorithms for large-scale photonic sensor networks.
Algorithms for ultra-fast optical signal modulation and demodulation.
▲ Algorithm-Driven Photonic Chip Design
Automated design tools for photonic integrated circuits (PICs).
Topology optimization algorithms for nanophotonic structures.
Algorithmic solutions for thermal and crosstalk management in PICs.
Open-source frameworks for photonic algorithm development and simulation.
