Marcello Benedetti

Identifiers

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Papers (8)

1. Probabilistic quantum algorithm for Lyapunov equations and matrix inversion quant-ph · 2025 · author #1
2. Adversarial quantum circuit learning for pure state approximation quant-ph · 2018 · author #1
3. Hierarchical quantum classifiers quant-ph · 2018 · author #2
4. A generative modeling approach for benchmarking and training shallow quantum circuits quant-ph · 2018 · author #1
5. Quantum-assisted Helmholtz machines: A quantum-classical deep learning framework for industrial datasets in near-term devices quant-ph · 2017 · author #1
6. Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers quant-ph · 2017 · author #2
7. Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models quant-ph · 2016 · author #1
8. Estimation of effective temperatures in quantum annealers for sampling applications: A case study with possible applications in deep learning quant-ph · 2015 · author #1

Mentions

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Frequent Coauthors

• Alejandro Perdomo-Ortiz 5 shared papers
• John Realpe-G\'omez 4 shared papers
• Rupak Biswas 3 shared papers
• Edward Grant 2 shared papers
• Simone Severini 2 shared papers
• Andrew G. Green 1 shared papers
• Andrew Hallam 1 shared papers
• Ansis Rosmanis 1 shared papers
• Delfina Garcia-Pintos 1 shared papers
• Joshua Lockhart 1 shared papers
• Leonard Wossnig 1 shared papers
• Matthias Rosenkranz 1 shared papers
• Oscar Perdomo 1 shared papers
• Shuxiang Cao 1 shared papers
• Vicente Leyton-Ortega 1 shared papers
• Vid Stojevic 1 shared papers
• Yunseong Nam 1 shared papers