Quantum Machine Learning papers, 2023–2026

Key findings

• Quantum Machine Learning fell from 72 papers in 2023 to 33 in 2026, so interest is cooling.
• NeurIPS publishes the most Quantum Machine Learning work: 77 papers from 2023 to 2026, 53% of the four-venue total.
• The fastest-growing overlap is with Applications · chemistry physics and earth sciences: papers tagged with both rose from 1 in 2023 to 5 in 2026.
• Among the 5 topics under Quantum and Exotic Computing, it ranks #2 by 2026 paper count; the fastest grower in the group, Neuromorphic Computing, is up 1.9x versus 0.5x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Quantum Machine Learning papers

72 papers, page 1 of 2

1. CVPR 2023CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes
2. ICLR 2023Classically Approximating Variational Quantum Machine Learning with Random Fourier Features
3. ICLR 2023LAVA: Data Valuation without Pre-Specified Learning Algorithms
4. ICLR 2023QuAnt: Quantum Annealing with Learnt Couplings
5. ICLR 2023Symmetric Pruning in Quantum Neural Networks
6. ICML 2023A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer
7. ICML 2023Action Matching: Learning Stochastic Dynamics from Samples
8. ICML 2023Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions
9. ICML 2023Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano
10. ICML 2023Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise
11. ICML 2023Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
12. ICML 2023Efficient Quantum Algorithms for Quantum Optimal Control
13. ICML 2023From Adaptive Query Release to Machine Unlearning
14. ICML 2023Inflow, Outflow, and Reciprocity in Machine Learning
15. ICML 2023Learning Distributions over Quantum Measurement Outcomes
16. ICML 2023Learning-augmented private algorithms for multiple quantile release
17. ICML 2023Machine Learning Force Fields with Data Cost Aware Training
18. ICML 2023Near-Optimal Quantum Coreset Construction Algorithms for Clustering
19. ICML 2023Principled Acceleration of Iterative Numerical Methods Using Machine Learning
20. ICML 2023QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark
21. ICML 2023Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions
22. ICML 2023Quantum Policy Gradient Algorithm with Optimized Action Decoding
23. ICML 2023Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation
24. ICML 2023QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms
25. ICML 2023Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable
26. ICML 2023Solving Linear Programs with Fast Online Learning Algorithms
27. ICML 2023Statistical Indistinguishability of Learning Algorithms
28. ICML 2023Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver
29. ICML 2023Underspecification Presents Challenges for Credibility in Modern Machine Learning
30. NeurIPS 2023$p$-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison
31. NeurIPS 2023Advice Querying under Budget Constraint for Online Algorithms
32. NeurIPS 2023Auditing for Human Expertise
33. NeurIPS 2023Bicriteria Multidimensional Mechanism Design with Side Information
34. NeurIPS 2023Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning
35. NeurIPS 2023DISCO-10M: A Large-Scale Music Dataset
36. NeurIPS 2023Discrete-Smoothness in Online Algorithms with Predictions
37. NeurIPS 2023Estimating Koopman operators with sketching to provably learn large scale dynamical systems
38. NeurIPS 2023Fair, Polylog-Approximate Low-Cost Hierarchical Clustering
39. NeurIPS 2023Harnessing the power of choices in decision tree learning
40. NeurIPS 2023Have it your way: Individualized Privacy Assignment for DP-SGD
41. NeurIPS 2023Improved Frequency Estimation Algorithms with and without Predictions
42. NeurIPS 2023Incentives in Private Collaborative Machine Learning
43. NeurIPS 2023Intelligent Knee Sleeves: A Real-time Multimodal Dataset for 3D Lower Body Motion Estimation Using Smart Textile
44. NeurIPS 2023Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games
45. NeurIPS 2023M$^2$Hub: Unlocking the Potential of Machine Learning for Materials Discovery
46. NeurIPS 2023Machine learning detects terminal singularities
47. NeurIPS 2023MLFMF: Data Sets for Machine Learning for Mathematical Formalization
48. NeurIPS 2023MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under nonparametrized geometrical variability
49. NeurIPS 2023Model Sparsity Can Simplify Machine Unlearning
50. NeurIPS 2023Nonparametric Teaching for Multiple Learners

FAQ

How many Quantum Machine Learning papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

144 in total: 72 in 2023, 20 in 2024, 19 in 2025, 33 in 2026.

How many Quantum Machine Learning papers are at NeurIPS 2026?

NeurIPS 2026 has 19 Quantum Machine Learning papers, versus 8 the year before.

How many Quantum Machine Learning papers are at ICLR 2026?

ICLR 2026 has 4 Quantum Machine Learning papers, versus 3 the year before.

How many Quantum Machine Learning papers are at ICML 2026?

ICML 2026 has 10 Quantum Machine Learning papers, versus 8 the year before.

How many Quantum Machine Learning papers are at CVPR 2024?

CVPR 2024 has 2 Quantum Machine Learning papers, versus 1 the year before.

Which conference publishes the most Quantum Machine Learning papers?

NeurIPS, with 77 papers from 2023 to 2026.