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Joao Basso

Before starting my PhD, I was an AI resident at Google, working on the Google Quantum AI algorithms team under the mentorship of Prof. Edward Farhi and Dr. Dave Bacon.

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In the Fall of 2023, I'm vising IPAM at UCLA for their program titled Mathematical and Computational Challenges in Quantum Computing.

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Most recent research interests: algorithms, quantum optimization.

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CV (last updated: 09/12/2023)

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CV (last updated: 03/02/2024)

LinkedIn profile

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Offices: IPAM 1228 at UCLA; 869 Evans Hall at UC Berkeley.

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Office: 869 Evans Hall

Email: joao [dot] basso [at] berkeley [dot] edu

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Publications and preprints

For citations and other metrics, check my Google Scholar profile.
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  1. Parameter Setting in Quantum Approximate Optimization of Weighted Problems, S. Sureshbabu, D. Herman, R. Shaydulin, J. Basso, S. Chakrabarti, Y. Sun, M. Pistoia (2023)
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  2. Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm, L. Zhou, J. Basso, S. Mei (2024)
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  3. Parameter Setting in Quantum Approximate Optimization of Weighted Problems, S. Sureshbabu, D. Herman, R. Shaydulin, J. Basso, S. Chakrabarti, Y. Sun, M. Pistoia, Quantum (2024)
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  4. Quantifying Advantage in Topological Data Analysis, D. Berry, Y. Su, C. Gyurik, R. King, J. Basso, A. Barba, A. Rajput, N. Wiebe, V. Dunjko, R. Babbush, QIP (2022)
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  5. Analyzing Prospects for Quantum Advantage in Topological Data Analysis, D. Berry, Y. Su, C. Gyurik, R. King, J. Basso, A. Barba, A. Rajput, N. Wiebe, V. Dunjko, R. Babbush, QIP, PRX Quantum (2024)
  6. Suppressing quantum errors by scaling a surface code logical qubit, Google Quantum AI and Collaborators, Nature (2022)
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