Sustained Performance and Energy Accounting for Nonlinear Forecasting Across Classical and Simulated Quantum Models

arXiv:2510.25183 · quant-ph, cs.LG · Submitted 2025-10-27 · Read on arXiv

quant-ph, cs.LG

Submitted: 2025-10-27

Updated: 2026-09-04

Comments: 6 pages, 1 table, 2 figures. Work conducted under QIntern 2025 (QWorld) with support from Fractal AI Research. Accepted at QCML (PReMI) 2025

Code: https://github.com/rdisipio/qlstm

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Quantum Reservoir Computing — 13× in this paper
• Accuracy — 9× in this paper · explained in 1 episode
• Benchmark — 9× in this paper · explained in 2 episodes
• Echo State Networks — 8× in this paper
• Long Short-Term Memory — 7× in this paper
• Benchmarking — 5× in this paper · explained in 3 episodes
• Quantum Reservoir Computing (QRC) — 5× in this paper · explained in 2 episodes
• Core — 3× in this paper · explained in 2 episodes
• Quantum Circuits — 3× in this paper · explained in 2 episodes
• Parameter Efficiency — 2× in this paper · explained in 3 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Root-Mean-Square Error — 2× in this paper
• Sparsity — 2× in this paper · explained in 4 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Edge Deployment — 1× in this paper · explained in 2 episodes
• Entanglement — 1× in this paper · explained in 3 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Gradient Flow — 1× in this paper · explained in 2 episodes
• Hilbert Space — 1× in this paper · explained in 2 episodes
• Hybrid Models — 1× in this paper · explained in 2 episodes
• Sustainable Forecasting Score — 1× in this paper
• Time Series Forecasting — 1× in this paper · explained in 3 episodes
• Transformer Models — 1× in this paper · explained in 2 episodes

Sources

• An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
• PennyLane: Automatic differentiation of hybrid quantum-classical computations
• Practical Few-Atom Quantum Reservoir Computing
• Experimental memory control in continuous variable optical quantum reservoir computing
• Quantum Long Short-Term Memory
• Feedback Connections in Quantum Reservoir Computing with Mid-Circuit Measurements
• Large-scale quantum reservoir learning with an analog quantum computer
• Federated Quantum-Train Long Short-Term Memory for Gravitational Wave Signal
• Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting

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