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 43 篇,第 1 / 1 页
- NeurIPS 2023$p$-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison
- NeurIPS 2023Advice Querying under Budget Constraint for Online Algorithms
- NeurIPS 2023Auditing for Human Expertise
- NeurIPS 2023Bicriteria Multidimensional Mechanism Design with Side Information
- NeurIPS 2023Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning
- NeurIPS 2023DISCO-10M: A Large-Scale Music Dataset
- NeurIPS 2023Discrete-Smoothness in Online Algorithms with Predictions
- NeurIPS 2023Estimating Koopman operators with sketching to provably learn large scale dynamical systems
- NeurIPS 2023Fair, Polylog-Approximate Low-Cost Hierarchical Clustering
- NeurIPS 2023Harnessing the power of choices in decision tree learning
- NeurIPS 2023Have it your way: Individualized Privacy Assignment for DP-SGD
- NeurIPS 2023Improved Frequency Estimation Algorithms with and without Predictions
- NeurIPS 2023Incentives in Private Collaborative Machine Learning
- NeurIPS 2023Intelligent Knee Sleeves: A Real-time Multimodal Dataset for 3D Lower Body Motion Estimation Using Smart Textile
- NeurIPS 2023Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games
- NeurIPS 2023M$^2$Hub: Unlocking the Potential of Machine Learning for Materials Discovery
- NeurIPS 2023Machine learning detects terminal singularities
- NeurIPS 2023MLFMF: Data Sets for Machine Learning for Mathematical Formalization
- NeurIPS 2023MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under nonparametrized geometrical variability
- NeurIPS 2023Model Sparsity Can Simplify Machine Unlearning
- NeurIPS 2023Nonparametric Teaching for Multiple Learners
- NeurIPS 2023On quantum backpropagation, information reuse, and cheating measurement collapse
- NeurIPS 2023On the Importance of Feature Separability in Predicting Out-Of-Distribution Error
- NeurIPS 2023Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learning
- NeurIPS 2023Path following algorithms for $\ell_2$-regularized $M$-estimation with approximation guarantee
- NeurIPS 2023Payoff-based Learning with Matrix Multiplicative Weights in Quantum Games
- NeurIPS 2023QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules
- NeurIPS 2023QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning
- NeurIPS 2023Quantum Bayesian Optimization
- NeurIPS 2023Quantum speedups for stochastic optimization
- NeurIPS 2023Resilient Constrained Learning
- NeurIPS 2023SALSA VERDE: a machine learning attack on LWE with sparse small secrets
- NeurIPS 2023Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations
- NeurIPS 2023Sorting with Predictions
- NeurIPS 2023Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks
- NeurIPS 2023Tanimoto Random Features for Scalable Molecular Machine Learning
- NeurIPS 2023Temporal Robustness against Data poisoning
- NeurIPS 2023Tester-Learners for Halfspaces: Universal Algorithms
- NeurIPS 2023The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance
- NeurIPS 2023UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition
- NeurIPS 2023Variational Monte Carlo on a Budget — Fine-tuning pre-trained Neural Wavefunctions
- NeurIPS 2023Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation
- NeurIPS 2023Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive 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。