Versatile Quantum Machine Learning with an Ultra-low Power Photonic Quantum Reservoir Computer

arXiv:2609.24381 · quant-ph, physics.optics · Submitted 2026-09-21 · Read on arXiv

quant-ph, physics.optics

Submitted: 2026-09-21

Updated: 2026-09-21

Terminology

• Core — 21× in this paper · explained in 2 episodes
• Accuracy — 20× in this paper · explained in 1 episode
• Feature Extraction — 6× in this paper · explained in 2 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Activation Function — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Digital Twin — 1× in this paper · explained in 4 episodes
• Temporal Correlations — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Machine learning with controllable quantum dynamics of a nuclear spin ensemble in a solid
• Quantum reservoir computing with repeated measurements on superconducting devices

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