Problem-informed Graphical Quantum Generative Learning

arXiv:2405.14072 · quant-ph · Submitted 2024-05-23 · Read on arXiv

quant-ph

Submitted: 2024-05-23

Updated: 2026-09-25

Terminology

• Quantum Circuits — 13× in this paper · explained in 2 episodes
• Benchmark — 12× in this paper · explained in 2 episodes
• Ancillary Qubits — 5× in this paper · explained in 1 episode
• Benchmarking — 5× in this paper · explained in 3 episodes
• Loss Function — 5× in this paper · explained in 2 episodes
• Generative Model — 4× in this paper · explained in 2 episodes
• Generative Models — 4× in this paper · explained in 2 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• BQP — 3× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Maximum Mean Discrepancy — 2× in this paper
• Quantum Approximate Optimization Algorithm — 2× in this paper
• Sparsity — 2× in this paper · explained in 4 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Active Learning — 1× in this paper · explained in 6 episodes
• All-to-All Connectivity — 1× in this paper · explained in 1 episode
• Combinatorial Optimization — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Kullback-Leibler (KL) Divergence — 1× in this paper · explained in 3 episodes
• Normalizing Flow — 1× in this paper · explained in 3 episodes
• Normalizing Flows — 1× in this paper · explained in 4 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Sample Complexity — 1× in this paper · explained in 15 episodes

Sources

• Quantum Supremacy through the Quantum Approximate Optimization Algorithm
• No Free Lunch for Quantum Machine Learning
• Contextuality and inductive bias in quantum machine learning
• Quantum Active Learning
• A Quantum Approximate Optimization Algorithm
• Average-case hardness of estimating probabilities of random quantum circuits with a linear scaling in the error exponent
• How to Train Your Energy-Based Models
• PennyLane: Automatic differentiation of hybrid quantum-classical computations
• Adam: A Method for Stochastic Optimization

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