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

144 papers, page 2 of 3

51. NeurIPS 2025Quantum speedup of non-linear Monte Carlo problems
52. NeurIPS 2025Quantum Speedups for Minimax Optimization and Beyond
53. CVPR 2024HDQMF: Holographic Feature Decomposition Using Quantum Algorithms
54. CVPR 2024Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing
55. ICLR 2024Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss
56. ICLR 2024Neural Auto-designer for Enhanced Quantum Kernels
57. ICLR 2024Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms
58. ICLR 2024Topological data analysis on noisy quantum computers
59. ICML 2024Gibbs Sampling of Continuous Potentials on a Quantum Computer
60. ICML 2024Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret
61. ICML 2024QBMK: Quantum-based Matching Kernels for Un-attributed Graphs
62. ICML 2024Quantum Algorithms and Lower Bounds for Finite-Sum Optimization
63. ICML 2024Quantum Implicit Neural Representations
64. ICML 2024Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition Functions
65. ICML 2024The Role of Learning Algorithms in Collective Action
66. NeurIPS 2024Differentiable Quantum Computing for Large-scale Linear Control
67. NeurIPS 2024Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits
68. NeurIPS 2024Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms
69. NeurIPS 2024Quantum algorithm for large-scale market equilibrium computation
70. NeurIPS 2024Quantum Algorithms for Non-smooth Non-convex Optimization
71. NeurIPS 2024Quantum Deep Equilibrium Models
72. NeurIPS 2024Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz
73. CVPR 2023CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes
74. ICLR 2023Classically Approximating Variational Quantum Machine Learning with Random Fourier Features
75. ICLR 2023LAVA: Data Valuation without Pre-Specified Learning Algorithms
76. ICLR 2023QuAnt: Quantum Annealing with Learnt Couplings
77. ICLR 2023Symmetric Pruning in Quantum Neural Networks
78. ICML 2023A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer
79. ICML 2023Action Matching: Learning Stochastic Dynamics from Samples
80. ICML 2023Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions
81. ICML 2023Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano
82. ICML 2023Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise
83. ICML 2023Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
84. ICML 2023Efficient Quantum Algorithms for Quantum Optimal Control
85. ICML 2023From Adaptive Query Release to Machine Unlearning
86. ICML 2023Inflow, Outflow, and Reciprocity in Machine Learning
87. ICML 2023Learning Distributions over Quantum Measurement Outcomes
88. ICML 2023Learning-augmented private algorithms for multiple quantile release
89. ICML 2023Machine Learning Force Fields with Data Cost Aware Training
90. ICML 2023Near-Optimal Quantum Coreset Construction Algorithms for Clustering
91. ICML 2023Principled Acceleration of Iterative Numerical Methods Using Machine Learning
92. ICML 2023QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark
93. ICML 2023Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions
94. ICML 2023Quantum Policy Gradient Algorithm with Optimized Action Decoding
95. ICML 2023Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation
96. ICML 2023QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms
97. ICML 2023Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable
98. ICML 2023Solving Linear Programs with Fast Online Learning Algorithms
99. ICML 2023Statistical Indistinguishability of Learning Algorithms
100. ICML 2023Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver

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.