Co-occurring keywords · papers mentioning both
Papers
ResQ: A Novel Framework to Implement Residual Neural Networks on Analog Rydberg Atom Quantum Computers
ICCV 2025
Scalable Quantum-Inspired Optimization Through Dynamic Qubit Compression
AAAI 2025
These Aren’t the Vectors You’re Looking For: A Proof of Quantum Advantage in Compositional Generalization
AACL 2025
Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning
CVPR 2024
Deep Quantum Error Correction
AAAI 2024
Differentiable Quantum Computing for Large-scale Linear Control
NeurIPS 2024
Efficient Quantum Agnostic Improper Learning of Decision Trees
AISTATS 2024
Exponential Quantum Communication Advantage in Distributed Inference and Learning
NeurIPS 2024
HDQMF: Holographic Feature Decomposition Using Quantum Algorithms
CVPR 2024
MG-Net: Learn to Customize QAOA with Circuit Depth Awareness
NeurIPS 2024
Provable Advantage in Quantum PAC Learning
COLT 2024
Quadratic Quantum Variational Monte Carlo
NeurIPS 2024
Quantum Deep Equilibrium Models
NeurIPS 2024
Quantum Kernelized Bandits
UAI 2024
Quantum Recurrent Architectures for Text Classification
EMNLP 2024
QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation
NeurIPS 2024
Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz
NeurIPS 2024
Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm
NeurIPS 2024
Topological data analysis on noisy quantum computers
ICLR 2024
What is my quantum computer good for? Quantum capability learning with physics-aware neural networks
NeurIPS 2024
A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer
ICML 2023
Alternating Layered Variational Quantum Circuits Can Be Classically Optimized Efficiently Using Classical Shadows
AAAI 2023
Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels
ICML 2023
Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty
AAAI 2023
LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection (Student Abstract)
AAAI 2023