From quantum feature maps to quantum reservoir computing: perspectives and applications

2025/10/02 by Casper Gyurik, Gyurik, Casper, Filip Wudarski +13 · 1 citation
Computer Science · #FOS: Physical sciences #Neural Networks and Applications #Neural Networks and Reservoir Computing #Quantum Physics (quant-ph)

paper · pdf · doi:10.48550/arxiv.2510.01797

openalex publication_date 2025/10/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We explore the interplay between two emerging paradigms: reservoir computing and quantum computing. We observe how quantum systems featuring beyond-classical correlations and vast computational spaces can serve as non-trivial, experimentally viable reservoirs for typical tasks in machine learning. With a focus on neutral atom quantum processing units, we describe and exemplify a novel quantum reservoir computing (QRC) workflow. We conclude exploratively discussing the main challenges ahead, whilst arguing how QRC can offer a natural candidate to push forward reservoir computing applications.

Citations

• The vast world of quantum advantage
• Role of scrambling and noise in temporal information processing with quantum systems
• Exponential concentration and symmetries in Quantum Reservoir Computing
• Non-Markovianity and memory enhancement in quantum reservoir computing
• Systematic benchmarking of quantum computers: status and recommendations
• Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning
• Harnessing quantum back-action for time-series processing
• Memory-Augmented Hybrid Quantum Reservoir Computing
• Large-scale quantum reservoir learning with an analog quantum computer
• Quantum Architecture Search: A Survey
• Hybrid quantum-classical reservoir computing for simulating chaotic systems
• A Systematic Exploration of Reservoir Computing for Forecasting Complex Spatiotemporal Dynamics
• Quantum reservoir computing: a reservoir approach toward quantum machine learning on near-term quantum devices
• Physics for Neuromorphic Computing
• Chasing the Echo State Property
• Deterministic Nonperiodic Flow

Cited by

• Spin-Network Quantum Reservoir Computing with Distributed Inputs: The Role of Entanglement

Related

• Quantum reservoir computing: a reservoir approach toward quantum machine learning on near-term quantum devices
• Practical Few-Atom Quantum Reservoir Computing
• Quantum Reservoir Computing: Recent Advances and Future Directions
• Quantum Reservoir Computing Implementations for Classical and Quantum Problems
• High-Accuracy Temporal Prediction via Experimental Quantum Reservoir Computing in Correlated Spins