# Neural Networks and Reservoir Computing

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/neural-networks-and-reservoir-computing/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the application of photonic reservoir computing for neural computation, machine learning, and information processing. It explores the use of semiconductor lasers, neuromorphic photonics, and optical neural networks, as well as the implementation of echo state networks and nonlinear dynamics in photonic systems. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | t12611 |
| Works | 21 |

## Topic papers all

Showing 15 of 21.

- [Quantum circuit learning](https://scholariq.org/papers/quantum-circuit-learning/)
- [Boosting Computational Power through Spatial Multiplexing in Quantum Reservoir Computing](https://scholariq.org/papers/boosting-computational-power-through-spatial-multiplexing-in-quantum-reservoir/)
- [Echo state network optimization using binary grey wolf algorithm](https://scholariq.org/papers/echo-state-network-optimization-using-binary-grey-wolf-algorithm/)
- [Recurrent neural network from adder’s perspective: Carry-lookahead RNN](https://scholariq.org/papers/recurrent-neural-network-from-adder-s-perspective-carry-lookahead-rnn/)
- [Multilevel memory and artificial synaptic plasticity in P(VDF-TrFE)-based ferroelectric field effect transistors](https://scholariq.org/papers/multilevel-memory-and-artificial-synaptic-plasticity-in-p-vdf-trfe-based/)
- [Enhancing quantum teleportation efficacy with noiseless linear amplification](https://scholariq.org/papers/enhancing-quantum-teleportation-efficacy-with-noiseless-linear-amplification/)
- [A fast incremental learning algorithm of RBF networks with long-term memory](https://scholariq.org/papers/a-fast-incremental-learning-algorithm-of-rbf-networks-with-long-term-memory/)
- [An echo state network architecture based on quantum logic gate and its optimization](https://scholariq.org/papers/an-echo-state-network-architecture-based-on-quantum-logic-gate-and-its/)
- [Experimental Quantum Stochastic Walks Simulating Associative Memory of Hopfield Neural Networks](https://scholariq.org/papers/experimental-quantum-stochastic-walks-simulating-associative-memory-of-hopfield/)
- [Associative Memory Design Using Support Vector Machines](https://scholariq.org/papers/associative-memory-design-using-support-vector-machines/)
- [NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations](https://scholariq.org/papers/nais-net-stable-deep-networks-from-non-autonomous-differential-equations-2/)
- [SPAIC: A Spike-Based Artificial Intelligence Computing Framework](https://scholariq.org/papers/spaic-a-spike-based-artificial-intelligence-computing-framework-2/)
- [Spiking Reinforcement Learning with Memory Ability for Mapless Navigation](https://scholariq.org/papers/spiking-reinforcement-learning-with-memory-ability-for-mapless-navigation/)
- [A 17.8-MS/s Compressed Sensing Radar Accelerator Using a Spiking Neural Network](https://scholariq.org/papers/a-17-8-ms-s-compressed-sensing-radar-accelerator-using-a-spiking-neural-network/)
- [Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation](https://scholariq.org/papers/bridging-classical-and-quantum-machine-learning-knowledge-transfer-from/)

## Topic primary papers

- [Boosting Computational Power through Spatial Multiplexing in Quantum Reservoir Computing](https://scholariq.org/papers/boosting-computational-power-through-spatial-multiplexing-in-quantum-reservoir/)
- [Echo state network optimization using binary grey wolf algorithm](https://scholariq.org/papers/echo-state-network-optimization-using-binary-grey-wolf-algorithm/)
- [An echo state network architecture based on quantum logic gate and its optimization](https://scholariq.org/papers/an-echo-state-network-architecture-based-on-quantum-logic-gate-and-its/)
- [Experimental Quantum Stochastic Walks Simulating Associative Memory of Hopfield Neural Networks](https://scholariq.org/papers/experimental-quantum-stochastic-walks-simulating-associative-memory-of-hopfield/)
- [HoloNeuroNet: A nano-holography-based AI optical computing framework](https://scholariq.org/papers/holoneuronet-a-nano-holography-based-ai-optical-computing-framework/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.