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 144 篇，第 1 / 3 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. ICML 2026A Sketch-and-Project Analysis of Subsampled Natural Gradient Algorithms
6. ICML 2026Accelerating Regression Tasks with Quantum Algorithms
7. ICML 2026An Exponential Separation Between Quantum and Quantum-Inspired Classical Algorithms for Linear Systems
8. ICML 2026Optimal Quantum Speedups for Repeatedly Nested Expectation Estimation
9. ICML 2026Procedural Generation Of Algorithm Discovery Tasks in Machine Learning
10. ICML 2026Quantum Algorithms for Triangle Cut Sparsification
11. ICML 2026Quantum latent distributions in deep generative models
12. ICML 2026QuantumBoost: A lazy, yet fast, quantum algorithm for learning with weak hypotheses
13. ICML 2026SAQNN: Spectral Adaptive Quantum Neural Network as a Universal Approximator
14. ICML 2026Transformer Circuits Can Realize Clustering Algorithms
15. NeurIPS 2026A Locality-Aware Surrogate for Natural-Gradient Descent in Quantum Optimization
16. NeurIPS 2026Beyond MNIST: Limitations of Amplitude Encoding on Quantum Classification
17. NeurIPS 2026BuresTomFlow: Bures-Geometric Flow Matching for Posterior Quantum Tomography
18. NeurIPS 2026Characterizing Trainability of Instantaneous Quantum Polynomial Circuit Born Machine
19. NeurIPS 2026Fast Accurate Quantum Monte Carlo without Metropolis Adjustment
20. NeurIPS 2026Optimal algorithmic complexity of inference in quantum kernel methods
21. NeurIPS 2026Quantum Best Arm Identification with Limited Round of Adaptivity: Lower Bounds and Algorithms
22. NeurIPS 2026Quantum Composite Hypothesis Testing with Small Error
23. NeurIPS 2026Quantum Speedup of Multi-armed Bandits at Scale by Tackling Memory Decoherence
24. NeurIPS 2026Score-based Variational Inference via Quantum Maximally Mixed States
25. NeurIPS 2026Sliced Wasserstein Meets Quantum Optics: Provable Wavefunctions Tomography with Scarce Noisy Measurements
26. NeurIPS 2026Stochastic Reconfiguration as Statistical Filtering for Overparameterized Neural Quantum States
27. NeurIPS 2026Stop Quantum Machine Learning; do AI-for-Quantum instead
28. NeurIPS 2026Structured Unitary Tensor Network Representations for Circuit-Efficient Quantum Data Encoding
29. NeurIPS 2026Symplectic Reck: In-Situ Learning of Gaussian Quantum Operations
30. NeurIPS 2026The Spectral Amplitude Principle for Dynamics of Quantum Neural Networks
31. NeurIPS 2026Training-Free Entangler Selection for Quantum Neural Networks via Hilbert–Schmidt Geometry
32. NeurIPS 2026Walking the Hypercube: Unbiased Quantum Partition Functions Without the Matrix
33. NeurIPS 2026Winning Lottery Tickets in Neural Networks via a Quantum-Inspired Classical Algorithm
34. ICLR 2025Exploring channel distinguishability in local neighborhoods of the model space in quantum neural networks
35. ICLR 2025Learning the Complexity of Weakly Noisy Quantum States
36. ICLR 2025Robustness of Quantum Algorithms for Nonconvex Optimization
37. ICML 2025A Sub-Problem Quantum Alternating Operator Ansatz for Correlation Clustering
38. ICML 2025Benchmarking Quantum Reinforcement Learning
39. ICML 2025Compact Matrix Quantum Group Equivariant Neural Networks
40. ICML 2025Limitations of measure-first protocols in quantum machine learning
41. ICML 2025Predictive Performance of Deep Quantum Data Re-uploading Models
42. ICML 2025Quantum Algorithms for Finite-horizon Markov Decision Processes
43. ICML 2025Quantum Optimization via Gradient-Based Hamiltonian Descent
44. ICML 2025Quantum Speedup for Hypergraph Sparsification
45. NeurIPS 2025A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values
46. NeurIPS 2025Fast Zeroth-Order Convex Optimization with Quantum Gradient Methods
47. NeurIPS 2025Hadamard Test is Sufficient for Efficient Quantum Gradient Estimation with Lie Algebraic Symmetries
48. NeurIPS 2025Near-Optimal Quantum Algorithms for Computing (Coarse) Correlated Equilibria of General-Sum Games
49. NeurIPS 2025Purest Quantum State Identification
50. NeurIPS 2025Quantum Doubly Stochastic Transformers

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。