research
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04/04/2023
A differentiable programming framework for spin models
Spin systems are a powerful tool for modeling a wide range of physical s...
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01/17/2023
The quantum cost function concentration dependency on the parametrization expressivity
Although we are currently in the era of noisy intermediate scale quantum...
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12/29/2022
Restricting to the chip architecture maintains the quantum neural network accuracy, if the parameterization is a 2-design
In the era of noisy intermediate scale quantum devices, variational quan...
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05/26/2022
Avoiding Barren Plateaus with Classical Deep Neural Networks
Variational quantum algorithms (VQAs) are among the most promising algor...
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05/17/2022
Natural evolutionary strategies applied to quantum-classical hybrid neural networks
With the rapid development of quantum computers, several applications ar...
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06/23/2021
Feature Alignment for Approximated Reversibility in Neural Networks
We introduce feature alignment, a technique for obtaining approximate re...
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10/19/2018