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Quantum Computing

128 directly classified papers

Papers per year

Papers

Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz NIPS 2024

PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices NIPS 2024

Towards training digitally-tied analog blocks via hybrid gradient computation NIPS 2024

Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models NIPS 2024

A Quantum Theory of Terms and New Challenges to Meaning Representation of Quanterms COLING 2024

Efficient Quantum Agnostic Improper Learning of Decision Trees AISTATS 2024

Quantum Policy Gradient Algorithm with Optimized Action Decoding ICML 2023

Alternating Layered Variational Quantum Circuits Can Be Classically Optimized Efficiently Using Classical Shadows AAAI 2023

Learning k-qubit Quantum Operators via Pauli Decomposition AISTATS 2023

Breaking a Classical Barrier for Classifying Arbitrary Test Examples in the Quantum Model AISTATS 2023

Dimensionless machine learning: Imposing exact units equivariance JMLR 2023

Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions ICML 2023

Generalizing Neural Wave Functions ICML 2023

Learning Distributions over Quantum Measurement Outcomes ICML 2023

Group Equivariant Fourier Neural Operators for Partial Differential Equations ICML 2023

Efficient Quantum Algorithms for Quantum Optimal Control ICML 2023

A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining ICML 2023

Quantum Multi-Model Fitting CVPR 2023

MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation ICML 2023

QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms ICML 2023

Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation ICML 2023

Chemically Transferable Generative Backmapping of Coarse-Grained Proteins ICML 2023

Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver ICML 2023

Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels ICML 2023

Learning to Binarize Continuous Features for Neuro-Rule Networks IJCAI 2023