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Roger G. Melko — most-cited papers & profile · AI for Science
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Roger G. Melko
7
papers ·
21
citations
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Most-cited papers
Miniaturizing neural networks for charge state autotuning in quantum dots
2021 · 21 citations
Reconstructing quantum states with generative models
2018
QuCumber: wavefunction reconstruction with neural networks
2018
Integrating Neural Networks with a Quantum Simulator for State Reconstruction
2019
The learnability scaling of quantum states: restricted Boltzmann machines
2019
U(1) symmetric recurrent neural networks for quantum state reconstruction
2020
GraphiQ: Quantum circuit design for photonic graph states
2024
Topics
Quantum Software
Quantum Machine Learning
Quantum Simulation
Theory
Hardware
Variational Methods
NISQ
Quantum Algorithms