Characterizes constituents of n-qubit graph quantum ML models and supplies a toolbox enabling integration with classical models, generalization of prior GQML approaches, and classical pre-training.
Flip: A flexible initial- izer for arbitrarily-sized parametrized quantum circuits
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A dual-valued phase shifter in linear optics creates variational cost landscapes with fewer local minima and outperforms prior linear-optical variational algorithms by mitigating barren plateaus.
Unifies fixed-ansatz and adaptive VQE via ansatz-free product-unitary formulation on the unitary group and derives convergence rates, initialization guarantees, and noise-robust measurement strategies for Riemannian gradient descent.
citing papers explorer
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Quantum machine learning models for graphs
Characterizes constituents of n-qubit graph quantum ML models and supplies a toolbox enabling integration with classical models, generalization of prior GQML approaches, and classical pre-training.
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Mitigating the barren plateau problem in linear optics
A dual-valued phase shifter in linear optics creates variational cost landscapes with fewer local minima and outperforms prior linear-optical variational algorithms by mitigating barren plateaus.
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Geometric Analysis of Variational Quantum Eigensolver
Unifies fixed-ansatz and adaptive VQE via ansatz-free product-unitary formulation on the unitary group and derives convergence rates, initialization guarantees, and noise-robust measurement strategies for Riemannian gradient descent.