Quantum reservoir computing with distributed architectures reduces time-series forecasting errors by up to 78.8% MAE and 72.3% RMSE in NISQ simulations compared to classical methods.
Available: https://arxiv.org/abs/2509.06205
3 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
A periodic framework is proposed to characterize, compare, and predict behaviors across distributed computing solutions by mapping system properties in a structured space inspired by the chemical periodic table.
The authors describe a visionary layered architecture for unifying classical and quantum compute resources under a single job submission and scheduling interface.
citing papers explorer
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Scalable Quantum Reservoir Computing over Distributed Quantum Architectures
Quantum reservoir computing with distributed architectures reduces time-series forecasting errors by up to 78.8% MAE and 72.3% RMSE in NISQ simulations compared to classical methods.
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A Periodic Space of Distributed Computing: Vision & Framework
A periodic framework is proposed to characterize, compare, and predict behaviors across distributed computing solutions by mapping system properties in a structured space inspired by the chemical periodic table.
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Quantum Integrated High-Performance Computing: Foundations, Architectural Elements and Future Directions
The authors describe a visionary layered architecture for unifying classical and quantum compute resources under a single job submission and scheduling interface.