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QAISG
Scalable quantum dynamics compilation via quantum machine learning
Exponential concentration in quantum kernel methods
Efficient Learning for Linear Properties of Bounded Gate Quantum Circuits
Overcoming the coherence time barrier in quantum machine learning on temporal data
Provably Trainable Rotationally Equivariant Quantum Machine Learning
Exponential learning advantages with conjugate states and minimal quantum memory
Exponential quantum advantages in learning quantum observables from classical data
Barren plateaus are swamped with traps
Entanglement enabled advantage for learning a bosonic random displacement channel
Accuracy vs Memory Advantage in the Quantum Simulation of Stochastic Processes
Dissipation as a resource for quantum reservoir computing
Noise induced shallow circuits and absence of barren plateaus
Generative Quantum Machine Learning via Denoising Diffusion Probabilistic Models
On fundamental aspects of quantum extreme learning machines
Does provable absence of barren plateaus imply classical simulability?
Mapping out phase diagrams with generative classifiers
Random Natural Gradient
The discrete adiabatic quantum linear system solver has lower constant factors than the ra
From explainable NLP to quantum dynamics prediction
On the expressivity of embedding quantum kernels
Symmetry invariant quantum machine learning force fields
Provable Advantage of Parameterized Quantum Circuit in Function Approximation
Model Independent Learning of Quantum Phases of Matter with Quantum Convolutional Neural Networks
Evaluating analytic gradients of pulse programs on quantum computers
Quantum Regularized Least Squares
QRAM A Survey and Critique
Post-variational quantum neural networks
Phase transition in Random Circuit Sampling
Understanding quantum machine learning also requires rethinking generalization
Systems Architecture for Quantum Random Access Memory