量子机器学习论文趋势 2023–2026
量子算法
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 144 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 43 | 4 | 24 | 1 | 72 |
| 2024 | 7 | 4 | 7 | 2 | 20 |
| 2025 | 8 | 3 | 8 | 0 | 19 |
| 2026 | 19 | 4 | 10 | 0 | 33 |
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 19 篇，第 1 / 1 页
- NeurIPS 2026A Locality-Aware Surrogate for Natural-Gradient Descent in Quantum Optimization
- NeurIPS 2026Beyond MNIST: Limitations of Amplitude Encoding on Quantum Classification
- NeurIPS 2026BuresTomFlow: Bures-Geometric Flow Matching for Posterior Quantum Tomography
- NeurIPS 2026Characterizing Trainability of Instantaneous Quantum Polynomial Circuit Born Machine
- NeurIPS 2026Fast Accurate Quantum Monte Carlo without Metropolis Adjustment
- NeurIPS 2026Optimal algorithmic complexity of inference in quantum kernel methods
- NeurIPS 2026Quantum Best Arm Identification with Limited Round of Adaptivity: Lower Bounds and Algorithms
- NeurIPS 2026Quantum Composite Hypothesis Testing with Small Error
- NeurIPS 2026Quantum Speedup of Multi-armed Bandits at Scale by Tackling Memory Decoherence
- NeurIPS 2026Score-based Variational Inference via Quantum Maximally Mixed States
- NeurIPS 2026Sliced Wasserstein Meets Quantum Optics: Provable Wavefunctions Tomography with Scarce Noisy Measurements
- NeurIPS 2026Stochastic Reconfiguration as Statistical Filtering for Overparameterized Neural Quantum States
- NeurIPS 2026Stop Quantum Machine Learning; do AI-for-Quantum instead
- NeurIPS 2026Structured Unitary Tensor Network Representations for Circuit-Efficient Quantum Data Encoding
- NeurIPS 2026Symplectic Reck: In-Situ Learning of Gaussian Quantum Operations
- NeurIPS 2026The Spectral Amplitude Principle for Dynamics of Quantum Neural Networks
- NeurIPS 2026Training-Free Entangler Selection for Quantum Neural Networks via Hilbert–Schmidt Geometry
- NeurIPS 2026Walking the Hypercube: Unbiased Quantum Partition Functions Without the Matrix
- NeurIPS 2026Winning Lottery Tickets in Neural Networks via a Quantum-Inspired Classical Algorithm
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查量子机器学习在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "quantum-machine-learning"}
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。