The 2026 International Conference on Advanced Algorithms, Optical Computing and Photonics (AAOCP 2026) emerges as a high-level interdisciplinary academic event focusing on frontier breakthroughs in advanced algorithms, optical computing and modern photonics. It aims to build an authoritative global platform for academic scholars, research experts and industry practitioners to exchange latest research findings, share innovative theoretical frameworks and explore prospective development trends.

Centering on algorithm optimization, photonic device innovation and optical computing system integration, the conference covers core research directions including intelligent algorithm design, neuromorphic photonic computing, integrated optoelectronic circuits and high-performance photonic information processing. It dedicates to tackling key bottlenecks in high-speed computing, low-energy consumption and large-scale parallel processing.

Committed to promoting academic exchanges, intellectual inheritance and international collaborative research, AAOCP 2026 strives to bridge theoretical exploration with engineering application, inspire original academic ideas, and drive the sustainable innovation and industrial upgrading of next-generation optical computing and photonic technologies.

List of 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.

Contact

Contact Person:

Conference Coordinator

Phone:

+852 56455425

ic_aaocp@yeah.net