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 24 篇，第 1 / 1 页
- ICML 2023A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer
- ICML 2023Action Matching: Learning Stochastic Dynamics from Samples
- ICML 2023Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions
- ICML 2023Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano
- ICML 2023Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise
- ICML 2023Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
- ICML 2023Efficient Quantum Algorithms for Quantum Optimal Control
- ICML 2023From Adaptive Query Release to Machine Unlearning
- ICML 2023Inflow, Outflow, and Reciprocity in Machine Learning
- ICML 2023Learning Distributions over Quantum Measurement Outcomes
- ICML 2023Learning-augmented private algorithms for multiple quantile release
- ICML 2023Machine Learning Force Fields with Data Cost Aware Training
- ICML 2023Near-Optimal Quantum Coreset Construction Algorithms for Clustering
- ICML 2023Principled Acceleration of Iterative Numerical Methods Using Machine Learning
- ICML 2023QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark
- ICML 2023Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions
- ICML 2023Quantum Policy Gradient Algorithm with Optimized Action Decoding
- ICML 2023Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation
- ICML 2023QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms
- ICML 2023Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable
- ICML 2023Solving Linear Programs with Fast Online Learning Algorithms
- ICML 2023Statistical Indistinguishability of Learning Algorithms
- ICML 2023Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver
- ICML 2023Underspecification Presents Challenges for Credibility in Modern Machine Learning
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。