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

33 papers, page 1 of 1

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

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.