Co-occurring keywords · papers mentioning both
Papers
Quantum Transformer for Molecular Learning: Multi-Configuration Ground-State Energy Prediction
AAAI 2026
QuCNet: Quantum Deep Learning Driven Multi-Circuit Network for Remote Sensing Image Classification
CVPR 2026
AI-Powered Algorithm-Centric Quantum Processor Topology Design
AAAI 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
Quantum Deep Equilibrium Models
NeurIPS 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
Physics-Informed Bayesian Optimization of Variational Quantum Circuits
NeurIPS 2023
QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark
ICML 2023
Symmetric Pruning in Quantum Neural Networks
ICLR 2023
Reinforcement learning for optimization of variational quantum circuit architectures
NeurIPS 2021
Expressive power of tensor-network factorizations for probabilistic modeling
NeurIPS 2019
Learning Hidden Quantum Markov Models
AISTATS 2018
Temporal Planning for Compilation of Quantum Approximate Optimization Circuits
IJCAI 2017
Open Problem: Learning Quantum Circuits with Queries
COLT 2015