量子机器学习论文趋势 2023–2026

主要结论

• 量子机器学习论文从 2023 年的 72 篇降到 2026 年的 33 篇，热度在回落。
• NeurIPS 是发量子机器学习论文最多的会议，2023–2026 年共 77 篇，占四个会议总量的 53%。
• 交叉方向里涨得最快的是应用 · chemistry physics and earth sciences：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 5 篇。
• 在「量子与其他」的 5 个主题里，它的 2026 年论文数排第 2；同组增长最快的神经形态计算是 1.9 倍，量子机器学习是 0.5 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026Beyond MNIST: Limitations of Amplitude Encoding on Quantum Classification
• ICML 2026Accelerating Regression Tasks with Quantum Algorithms
• ICLR 2026Accelerating Inference for Multilayer Neural Networks with Quantum Computers
• NeurIPS 2025A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values
• ICML 2025Compact Matrix Quantum Group Equivariant Neural Networks
• ICLR 2025Exploring channel distinguishability in local neighborhoods of the model space in quantum neural networks
• NeurIPS 2024Differentiable Quantum Computing for Large-scale Linear Control
• ICML 2024Quantum Implicit Neural Representations
• ICLR 2024Topological data analysis on noisy quantum computers
• CVPR 2024HDQMF: Holographic Feature Decomposition Using Quantum Algorithms
• NeurIPS 2023Harnessing the power of choices in decision tree learning
• ICML 2023Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano
• ICLR 2023Classically Approximating Variational Quantum Machine Learning with Random Fourier Features
• CVPR 2023CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes
• NeurIPS 2026Characterizing Trainability of Instantaneous Quantum Polynomial Circuit Born Machine
• ICML 2026An Exponential Separation Between Quantum and Quantum-Inspired Classical Algorithms for Linear Systems
• ICLR 2026SAQ: Stabilizer-Aware Quantum Error Correction Decoder
• NeurIPS 2025Hadamard Test is Sufficient for Efficient Quantum Gradient Estimation with Lie Algebraic Symmetries
• ICML 2025A Sub-Problem Quantum Alternating Operator Ansatz for Correlation Clustering
• ICLR 2025Learning the Complexity of Weakly Noisy Quantum States

全部量子机器学习论文

共 15 篇，第 1 / 1 页

1. ICLR 2026Accelerating Inference for Multilayer Neural Networks with Quantum Computers
2. ICLR 2026DR-Submodular Maximization with Stochastic Biased Gradients: Classical and Quantum Gradient Algorithms
3. ICLR 2026Feedback-driven recurrent quantum neural network universality
4. ICLR 2026SAQ: Stabilizer-Aware Quantum Error Correction Decoder
5. ICLR 2025Exploring channel distinguishability in local neighborhoods of the model space in quantum neural networks
6. ICLR 2025Learning the Complexity of Weakly Noisy Quantum States
7. ICLR 2025Robustness of Quantum Algorithms for Nonconvex Optimization
8. ICLR 2024Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss
9. ICLR 2024Neural Auto-designer for Enhanced Quantum Kernels
10. ICLR 2024Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms
11. ICLR 2024Topological data analysis on noisy quantum computers
12. ICLR 2023Classically Approximating Variational Quantum Machine Learning with Random Fourier Features
13. ICLR 2023LAVA: Data Valuation without Pre-Specified Learning Algorithms
14. ICLR 2023QuAnt: Quantum Annealing with Learnt Couplings
15. ICLR 2023Symmetric Pruning in Quantum Neural Networks

常见问题

2023–2026 年四大会议一共有多少篇量子机器学习论文？

共 144 篇，按年份分别是 2023 年 72 篇、2024 年 20 篇、2025 年 19 篇、2026 年 33 篇。

NeurIPS 2026 有多少篇量子机器学习论文？

NeurIPS 2026 有 19 篇量子机器学习论文，上一届是 8 篇。

ICLR 2026 有多少篇量子机器学习论文？

ICLR 2026 有 4 篇量子机器学习论文，上一届是 3 篇。

ICML 2026 有多少篇量子机器学习论文？

ICML 2026 有 10 篇量子机器学习论文，上一届是 8 篇。

CVPR 2024 有多少篇量子机器学习论文？

CVPR 2024 有 2 篇量子机器学习论文，上一届是 1 篇。

哪个会议的量子机器学习论文最多？

NeurIPS，2023–2026 年共 77 篇。