Gaussian initializations help deep variational quantum circuits ...

Escaping from the Barren Plateau via Gaussian Initializations ... - arXiv

Variational quantum circuits have been widely employed in quantum simulation and quantum machine learning in recent years. However, quantum ...

Gaussian initializations help deep variational quantum circuits escape from the barren plateau · Kaining Zhang, Min-Hsiu Hsieh, +1 author. Dacheng Tao · Published ...

Escaping from the Barren Plateau via Gaussian Initializations in ...

Initializations in Deep Variational Quantum Circuits. Kaining ... • We propose a Gaussian initialization strategy for deep variational quantum circuits.

(PDF) Gaussian initializations help deep variational quantum circuits ...

Gaussian initializations help deep variational quantum circuits escape from the barren plateau ... Preprints and early-stage research may not have ...

Escaping from the Barren Plateau via Gaussian Initializations in...

We propose a Gaussian initialization strategy addressing the vanishing gradient problem in variational quantum circuits with theoretical guarantees.

[PDF] Escaping from the Barren Plateau via Gaussian Initializations ...

Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits · Kaining Zhang, Liu Liu, +1 author. Dacheng Tao · Published in ...

Escaping from the Barren Plateau via Gaussian Initializations in ...

Variational quantum circuits have been widely employed in quantum simulation and quantum machine learning in recent years.

Improving Trainability of Variational Quantum Circuits via ... - arXiv

Regularization with Gaussian Noise Diffusion Can Help Avoid Being ... Tao, “Escaping from the barren plateau via gaussian initializations ...

Escaping from the barren plateau via Gaussian initializations in ...

Variational quantum circuits have been widely employed in quantum simulation and quantum machine learning in recent years. However, quantum circuits with ...

Escaping from the Barren Plateau via Gaussian ... - OPUS at UTS

Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits. Zhang, K Liu, L Hsieh, M-H Tao, D.

Escaping from the Barren Plateau via Gaussian Initializations in ...

Variational quantum circuits have been widely employed in quantum simulation and quantum machine learning in recent years. However, quantum circuits with ...

Deep Quantum Neural Networks are Gaussian Process - NASA/ADS

The overparameterization of variational quantum circuits, as a model of Quantum ... Gaussian initialization. Moreover, we present a framework to examine ...

Training variational quantum algorithms with random gate activation

Tao, Gaussian Initializations Help Deep Variational Quantum Circuits Escape from the Barren Plateau, Gaussian initializations help deep ...

Policy gradients using variational quantum circuits

... Variational quantum circuits for deep ... Gaussian initializations help deep variational quantum circuits escape from the barren plateau arXiv.

Improving Trainability of Variational Quantum Circuits ... - Inspire HEP

Escaping from the barren plateau via gaussian initializations in deep variational quantum circuits ... INSPIRE Help · Report metadata issues ...

Hamiltonian variational ansatz without barren plateaus

``Escaping from the barren plateau via gaussian initializations in deep variational quantum circuits''. ... Xanadu logo Support Quantum and ...

Improved Simulation of Quantum Circuits by Fewer Gaussian ...

... Gaussian quantum circuits supplemented with non-Gaussian ... Preprint. Full-text available. Gaussian initializations help deep variational quantum circuits escape ...

Avoiding barren plateaus via Gaussian Mixture Model - NASA/ADS

Variational quantum algorithms is one of the most representative algorithms in quantum computing ... deep circuit layers, or global cost functions, making ...

‪Kaining Zhang‬ - ‪Google Scholar‬

Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits. K Zhang, L Liu, MH Hsieh, D Tao. Advances in Neural ...

Quantum deep generative prior with programmable quantum circuits

... aid in selecting suitable layers for variational quantum circuits. ... quantum deep generative prior with random and pretrained initialization ...