Noise-Robust Quantum State Characterization for Remote State Preparation with Deep Learning

arXiv:2609.20523 · quant-ph, cs.LG, physics.optics · Submitted 2026-09-17 · Read on arXiv

quant-ph, cs.LG, physics.optics

Submitted: 2026-09-17

Updated: 2026-09-19

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

Terminology

• Fidelity — 111× in this paper · explained in 2 episodes
• Transformer — 81× in this paper · explained in 2 episodes
• Entanglement — 20× in this paper · explained in 3 episodes
• Benchmark — 19× in this paper · explained in 2 episodes
• Generalization — 16× in this paper · explained in 13 episodes
• Core — 14× in this paper · explained in 2 episodes
• Interpretability — 11× in this paper · explained in 15 episodes
• Ablation — 10× in this paper · explained in 1 episode
• Transformer Architecture — 10× in this paper · explained in 2 episodes
• Robustness — 9× in this paper · explained in 5 episodes
• Attention Mechanism — 7× in this paper · explained in 2 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• Analyzer — 6× in this paper · explained in 1 episode
• Trace — 6× in this paper · explained in 2 episodes
• Calibration — 5× in this paper · explained in 7 episodes
• Consistency — 5× in this paper · explained in 3 episodes
• Adam — 4× in this paper · explained in 2 episodes
• Integrated Gradients — 4× in this paper
• Loss Function — 4× in this paper · explained in 2 episodes
• Benchmarking — 3× in this paper · explained in 3 episodes
• Coincidence-to-Accidental Ratio — 3× in this paper
• Mean Squared Error — 3× in this paper
• Quantization — 3× in this paper · explained in 12 episodes
• Spontaneous Parametric Down-Conversion — 3× in this paper
• Physical Constraints — 2× in this paper · explained in 7 episodes
• Post-Selection — 2× in this paper · explained in 2 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• Transfer Learning — 2× in this paper · explained in 10 episodes
• Transformer-based Quantum State Characterizer — 2× in this paper
• Activation Function — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Decode — 1× in this paper · explained in 2 episodes
• Diagnostic Tools — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Fault-Tolerant Quantum Computing — 1× in this paper
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Hybrid Entanglement — 1× in this paper · explained in 2 episodes
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Noisy Intermediate-Scale Quantum — 1× in this paper
• Pruning — 1× in this paper · explained in 4 episodes
• Quantum Physics — 1× in this paper · explained in 10 episodes
• Scaling Laws — 1× in this paper · explained in 4 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Supplemental Material — 1× in this paper
• Systematic Bias — 1× in this paper · explained in 3 episodes
• Temporal Correlations — 1× in this paper · explained in 2 episodes
• Unitary Dynamics — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Error-mitigated quantum state tomography using neural networks
• A Survey of Quantum Transformers: Architectures, Challenges and Outlooks
• Language Model for Large-Text Transmission in Noisy Quantum Communications
• Scaling Laws for Neural Language Models
• A Scalable Open-Source QEC System with Sub-Microsecond Decoding-Feedback Latency
• Mamba: Linear-Time Sequence Modeling with Selective State Spaces

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