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

20 papers, page 1 of 1

1. CVPR 2024HDQMF: Holographic Feature Decomposition Using Quantum Algorithms
2. CVPR 2024Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing
3. ICLR 2024Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss
4. ICLR 2024Neural Auto-designer for Enhanced Quantum Kernels
5. ICLR 2024Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms
6. ICLR 2024Topological data analysis on noisy quantum computers
7. ICML 2024Gibbs Sampling of Continuous Potentials on a Quantum Computer
8. ICML 2024Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret
9. ICML 2024QBMK: Quantum-based Matching Kernels for Un-attributed Graphs
10. ICML 2024Quantum Algorithms and Lower Bounds for Finite-Sum Optimization
11. ICML 2024Quantum Implicit Neural Representations
12. ICML 2024Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition Functions
13. ICML 2024The Role of Learning Algorithms in Collective Action
14. NeurIPS 2024Differentiable Quantum Computing for Large-scale Linear Control
15. NeurIPS 2024Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits
16. NeurIPS 2024Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms
17. NeurIPS 2024Quantum algorithm for large-scale market equilibrium computation
18. NeurIPS 2024Quantum Algorithms for Non-smooth Non-convex Optimization
19. NeurIPS 2024Quantum Deep Equilibrium Models
20. NeurIPS 2024Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz

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.