End-to-end Optimization of Single-Shot Quantum Machine Learning for Bayesian Inference

arXiv:2512.20492 · quant-ph · Submitted 2025-12-23 · Read on arXiv

quant-ph

Submitted: 2025-12-23

Updated: 2026-09-19

Terminology

• Loss Function — 20× in this paper · explained in 2 episodes
• Accuracy — 12× in this paper · explained in 1 episode
• Fisher Information — 11× in this paper · explained in 3 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Benchmarking — 3× in this paper · explained in 3 episodes
• Feature Extraction — 3× in this paper · explained in 2 episodes
• Objective Function — 3× in this paper · explained in 2 episodes
• Resolvable Expressive Capacity — 3× in this paper
• Bayesian Framework — 2× in this paper · explained in 3 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Entanglement — 2× in this paper · explained in 3 episodes
• Quantum Circuits — 2× in this paper · explained in 2 episodes
• Superradiance — 2× in this paper · explained in 3 episodes
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Convergence Guarantees — 1× in this paper · explained in 3 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Hilbert Space — 1× in this paper · explained in 2 episodes
• Homogeneity — 1× in this paper · explained in 2 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Physical Constraints — 1× in this paper · explained in 7 episodes
• Principal Component Analysis (PCA) — 1× in this paper · explained in 4 episodes
• Quantum Reservoir Computing (QRC) — 1× in this paper · explained in 2 episodes
• Quantum Trajectories — 1× in this paper · explained in 2 episodes
• Resource Constraints — 1× in this paper · explained in 3 episodes
• Sample Efficiency — 1× in this paper · explained in 4 episodes
• Standard Quantum Limit (SQL) — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• The Capacity of Quantum Neural Networks
• Large-scale quantum reservoir learning with an analog quantum computer
• Enhanced Image Recognition Using Gaussian Boson Sampling
• Large-scale quantum reservoir computing using a Gaussian Boson Sampler
• Quantum Computing Enhanced Sensing
• Quantum Computational-Sensing Advantage
• Optimal Multiparameter Metrology: The Quantum Compass Solution
• Quantum Kitchen Sinks: An algorithm for machine learning on near-term quantum computers
• Generalization Error in Quantum Machine Learning in the Presence of Sampling Noise

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