Overview

Photonic computing studies how optical components such as interferometers, diffractive layers, resonators, and lasers can perform operations used in machine learning and optimization. Approaches include photonic tensor cores for neural-network and transformer workloads, passive diffractive processors, and reservoir computers that use a device’s physical dynamics; quantum photonic methods also explore learning and optimization with photon-based states. These systems are tested on tasks ranging from image and speech recognition to forecasting, classification, and combinatorial optimization, with energy, throughput, and accuracy compared against electronic baselines. A central challenge is turning optical speed or energy advantages into reliable end-to-end gains despite noise, limited memory and readout, encoding and precision costs, and constraints in scaling and calibrating hardware.

Latest papers

CardsList

47 papers4 papers in the last four weeks, up 33% on the four weeks before. 0.0% of all new papers.

  1. Functional Superoscillations in a Wave Processor

    Oct 25, 2026Yuntian Wang, Md Sadman Sakib Rahman, Aydogan OzcanAnalog ComputingPhotonic Computing

  2. Wavelength Diversity Expands the Expressive Power of Optical Computing

    Oct 16, 2026Shiqi Chen, Che-Yung Shen, Parnian Ghapandar Kashani +2Photonic ComputingUniversal Approximation

  3. Targeted search shows that random-device testing underestimates worst-case error in a simulated wave-based neural operator

    Oct 5, 2026Samrendra Roy, Jason Yoo, Souvik Chakraborty +1Fourier Neural OperatorUncertainty Quantification

  4. Landscape-Dependent Performance of Photonic Quantum Solvers in QUBO Feature Selection for Financial Risk Detection

    Oct 2, 2026Nirvik Sahoo, Paul Robert GriffinFeature SelectionPhotonic Computing

  5. LCAP: Population-Informed Latent Chip Adaptation from Few Output Probes for Photonic Neural Networks

    Sep 15, 2026Tianyu Gao, Guantian ZhengSim-to-Real TransferPhotonic Computing

  6. Photonic reservoir computing with dimensionally compressed readout

    Sep 7, 2026Gerald Kobi, Mohab Abdalla, Miguel C. Soriano +1Reservoir ComputingRandomized Sketching

  7. Hardware Trojan Threats to Multi-Chiplet Photonic Neural Network Accelerators

    Sep 6, 2026Sudeep PasrichaCybersecurityPhotonic Computing

  8. Optically Writable Atomic Vapor Memory as a Substrate for Optical Reservoir Computing

    Aug 18, 2026Elizabeth Robertson, Mingwei Yang, Lina Jaurigue +3Photonic ComputingReservoir Computing

  9. Universal Function Approximation via Diffractive Optical Processors: Physical Limits, Error Bounds, and Learnability

    Aug 5, 2026Md Sadman Sakib Rahman, Che-Yung Shen, Aydogan OzcanDiffractive Neural NetworksUniversal Approximation

  10. Constrained Co-Design for Photonic Bayesian Neural Networks

    Aug 3, 2026Hendrik Borras, Xiao Wang, Bernhard Klein +4Bayesian Neural NetworksUncertainty Quantification

  11. MDTransformer: A Hardware-Software Co-Design of Mode-Division Photonic Transformer Accelerator with Inverse-Designed Coherent Crossbar

    Jul 28, 2026Solomon Micheal Serunjogi, Rachmad Vidya Wicaksana Putra, Ayat Taha +2Efficient Transformer InferencePhotonic Computing

  12. Approximate reservoir computing with a semiconductor laser for reducing energy consumption

    Jul 25, 2026Tatsuki Ito, Kazutaka Kanno, Satoshi Kawakami +1Energy-Efficient MLReservoir Computing

  13. Photonic reservoir computing with complex networks

    Jul 25, 2026Sion Park, Kohei Watabe, Satoshi Sunada +2Reservoir ComputingPhotonic Computing

  14. PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks

    Jul 22, 2026Farah Elnakhal, Alberto Marchisio, Nouhaila Innan +2Hybrid Quantum-Classical MLPhotonic Computing

  15. Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators

    Jul 20, 2026Xuming Chen, Deniz Najafi, Mehrdad Morsali +5Fine-TuningVision Transformer

  16. Program-Synthesis-Driven Autodesign of Universal Unitary Operators

    Jul 11, 2026Yifei Zhang, Dong Chen, Fan Wang +6Automated Algorithm DiscoveryProgram Synthesis

  17. Parameter-Efficient Continuous-Variable Photonic Quantum Neural Networks for Edge Quantum AI: Demonstration in Oral Cancer Detection

    Jun 26, 2026Akshay Bhagwan Sonawane, Sophie Choe, Lakshman TamilMedical Image AnalysisHybrid Quantum-Classical ML

  18. Trainable Photonic Measurement for Physics-Informed PDE Learning

    Jun 17, 2026Jiale Linghu, Hao Dong, Yangshuai WangNeural PDE SolversQuantum Machine Learning

  19. Generative modelling powered by room-temperature polariton condensates

    Jun 13, 2026Yuan Wang, Marcin Muszynski, Avinash Dash +3Conditional Image GenerationPhotonic Computing

  20. Optical Implementation of Equilibrium Propagation Using Spatial Photonic Ising Machines

    Jun 11, 2026Dimitri Vanden Abeele, Daniele Veraldi, Davide Pierangeli +2Equilibrium PropagationEnergy-Efficient ML

  21. Otters++: A Time-to-first-spike Based Energy Efficient Optical Spiking Transformer

    Jun 11, 2026Zhanglu Yan, Jiayi Mao, Kaiwen Tang +6Efficient Transformer InferenceSpiking Transformers

  22. DxPTA: An Architecture Design Space Exploration with Optical Dataflow-guided Strategy for HW/SW Co-Design of Photonic Transformer Accelerators

    Jun 2, 2026Rachmad Vidya Wicaksana Putra, Solomon Micheal Serunjogi, Mahmoud Rasras +1Efficient Transformer InferenceHardware-Software Co-Design

  23. Breaking the Cascade: Compact Nonlinear Optical Computing with Single-Layer Encoder-Decoder Co-Localization

    May 31, 2026Yuntian Wang, Alexander Chen, Md Sadman Sakib Rahman +1Diffractive Neural NetworksPhotonic Computing

  24. Deep Binarized Photonic Reservoir Computing for Ultrafast Multimedia Signal Processing

    May 28, 2026Muhammad Waqar Iqbal, Mohamad Alassir, Nicolas Marsal +1Binary Neural NetworksReservoir Computing

  25. Accelerating ground state search of spatial photonic Ising machines with genetic-simulated annealing hybrid algorithm

    May 22, 2026Ze Zheng, Ruhui Ni, Jingyi Zhao +6Metaheuristic OptimizationCombinatorial Optimization

  26. Q-PhotoNAS: Hybrid Quantum Neural Architecture Search Framework on Photonic Devices

    May 21, 2026Farah Elnakhal, Alberto Marchisio, Nouhaila Innan +2Hybrid Quantum-Classical MLHardware-Aware NAS

  27. Reconfigurable Nonlinear Photonic Networks for In-Situ Learning and Memory Formation via Driven-Dissipative Dynamics

    May 19, 2026Isaac YorkeDynamical SystemsNeural Network Memorization

  28. Information Processing Capacity of Stationary Physical Systems: Theory, Data-efficient Estimation Methods, and Photonic Demonstration

    May 18, 2026Rahul Uma Ramachandran, Serge MassarPhotonic ComputingRichardson Extrapolation

  29. Cavity-Enhanced Collective Quantum Processing with Polarization-Encoded Qubits

    May 11, 2026Kamil Wereszczyński, Józef Cyran, Adam Brzezowski +4Photonic Computing