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<!DOCTYPE html>
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<title>Joao Basso</title>
<link rel="stylesheet" href="styles.css">
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<h1>Joao Basso</h1>
<img align="right" src="joao_pic.jpg" alt="Joao Basso" width="450" height="300" style="margin-left: 0.5em">
<p>I'm a PhD student in the <a href="https://math.berkeley.edu">math department</a> at <a href="https://www.berkeley.edu">UC Berkeley</a> advised by Professors <a href="https://math.berkeley.edu/~linlin/">Lin Lin</a> and <a href="https://en.wikipedia.org/wiki/Nikhil_Srivastava">Nikhil Srivastava</a>.
<p>Before starting my PhD, I was an <a href="https://research.google/people/JoaoBasso/">AI resident</a> at <a href="https://www.google.com">Google</a>, working on the <a href="https://quantumai.google">Google Quantum AI</a> algorithms team under the mentorship of <a href="https://physics.mit.edu/faculty/edward-farhi/">Prof. Edward Farhi</a> and <a href="https://research.google/people/105078/">Dr. Dave Bacon</a>.</p>
<p>Most recent research interests: quantum Markov chains, random matrices, quantum optimization.</p>
<p><a href="./joao_cv.pdf">CV</a> (last updated: 10/11/2025)</p>
<p><a href="https://www.linkedin.com/in/joao-marcos-vensi-basso/">LinkedIn profile</a></p>
<p>Office: 869 Evans Hall</p>
<p>Email: joao [dot] basso [at] berkeley [dot] edu</p>
<h2>Some notes</h2>
<p><a href="./notes/Stochastic_representation_of_Hamiltonians.pdf">Stochastic (classical) representation of quantum Hamiltonians</a></p>
<p><a href="./notes/Static_and_dynamic_correspondences_in_Markov_sampling.pdf">Static and dynamic correspondences in Markov sampling</a></p>
<h2>Publications and preprints</h2>
For citations and other metrics, see my <a href="https://scholar.google.com/citations?user=mIlQ2lIAAAAJ&hl=en&oi=ao">Google Scholar profile</a>.
<ol reversed>
<li><a href="https://arxiv.org/abs/2510.07267">On quantum to classical comparison for Davies generators</a>, <b>J. Basso</b>, S. Ganguly, A. Sinclair, N. Srivastava, Z. Stier, T.-D. Vuong, <i>QIP</i> (2025)</li>
<li><a href="https://arxiv.org/abs/2510.07291">Quantum Replica Exchange</a>, Z. Chen, <b>J. Basso</b>, Z. Ding, L. Lin, <a href="https://arxiv.org/abs/2510.07291">arXiv:2510.07291</a> (2025)</li>
<li><a href="https://arxiv.org/abs/2411.02578">Optimizing random local Hamiltonians by dissipation</a>, <b>J. Basso</b>, C. Chen, A. Dalzell, <i>QIP</i> (2024)</li>
<li><a href="https://arxiv.org/abs/2402.19456">Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm</a>, L. Zhou, <b>J. Basso</b>, S. Mei, <a href="https://neurips.cc"><i>NeurIPS</i></a> (2024)</li>
<li><a href="https://arxiv.org/abs/2305.15201">Parameter Setting in Quantum Approximate Optimization of Weighted Problems</a>, S. Sureshbabu, D. Herman, R. Shaydulin, <b>J. Basso</b>, S. Chakrabarti, Y. Sun, M. Pistoia, <a href="https://quantum-journal.org/papers/q-2024-01-18-1231/"><i>Quantum</i></a> (2024)</li>
<li><a href="https://arxiv.org/abs/2209.13581">Analyzing Prospects for Quantum Advantage in Topological Data Analysis</a>, D. Berry, Y. Su, C. Gyurik, R. King, <b>J. Basso</b>, A. Barba, A. Rajput, N. Wiebe, V. Dunjko, R. Babbush, <a href="https://indico.cern.ch/event/1175020/"><i>QIP</i></a>, <a href="https://journals.aps.org/prxquantum/abstract/10.1103/PRXQuantum.5.010319"><i>PRX Quantum</i></a> (2024)</li>
<li><a href="https://arxiv.org/abs/2207.06431">Suppressing quantum errors by scaling a surface code logical qubit</a>, Google Quantum AI and Collaborators, <a href=https://www.nature.com/articles/s41586-022-05434-1><i>Nature</i></a> (2022)</li>
<li><a href="https://arxiv.org/abs/2206.05254">Formation of robust bound states of interacting microwave photons</a>, Google Quantum AI and Collaborators, <a href="https://www.nature.com/articles/s41586-022-05348-y"><i>Nature</i></a> (2022)</li>
<li><a href="https://arxiv.org/abs/2204.11372">Noise-resilient Majorana Edge Modes on a Chain of Superconducting Qubits</a>, Google Quantum AI and Collaborators, <a href="https://www.science.org/doi/abs/10.1126/science.abq5769"><i>Science</i></a> (2022)</li>
<li><a href="https://arxiv.org/abs/2204.10306">Performance and limitations of the QAOA at constant levels on large sparse hypergraphs and spin glass models</a>, <b>J. Basso</b>, D. Gamarnik, S. Mei, L. Zhou, <a href="https://focs2022.eecs.berkeley.edu"><i>FOCS</i></a> (2022)</li>
<li><a href="https://arxiv.org/abs/2110.14206">The Quantum Approximate Optimization Algorithm at High Depth for MaxCut on Large-Girth Regular Graphs and the Sherrington-Kirkpatrick Model</a>, <b>J. Basso</b>, E. Farhi, K. Marwaha, B. Villalonga, L. Zhou, <a href="https://tqc2022-conference.iquist.illinois.edu"><i>TQC</i></a> (2022) <br> <em>TQC Outstanding Paper Prize</em> - <a href="https://www.youtube.com/watch?v=RqGpnRh7rCM&t=12s">Talk</a></li>
<li><a href="https://arxiv.org/abs/2107.13571">Time-Crystalline Eigenstate Order on a Quantum Processor</a>, Google Quantum AI and Collaborators, <a href="https://www.nature.com/articles/s41586-021-04257-w"><i>Nature</i></a> (2021)</li>
<li><a href="https://arxiv.org/abs/2101.08870">Information scrambling in quantum circuits</a>, Google Quantum AI and Collaborators, <a href="https://www.science.org/doi/10.1126/science.abg5029"><i>Science</i></a> (2021)</li>
<li><a href="https://arxiv.org/abs/2104.01180">Realizing topologically ordered states on a quantum processor</a>, Google Quantum AI and Collaborators, <a href="https://www.science.org/doi/10.1126/science.abi8378"><i>Science</i></a> (2021)</li>
<li><a href="https://arxiv.org/abs/2012.07313">Basis-free analysis of singular tuples and eigenpairs of tensors</a>, <b>J. Basso</b>, L. Tu (2020)</li>
<li><a href="https://arxiv.org/abs/1910.09592">On speeding up factoring with quantum SAT solvers</a>, M. Mosca, <b>J. Basso</b>, S. Verschoor, <a href="https://www.nature.com/articles/s41598-020-71654-y"><i>Nature Scientific Reports</i></a> (2020)</li>
<li><a href="https://pubs.rsc.org/en/content/articlehtml/2019/sm/c9sm01769k">Neuron dynamics on directional surfaces</a>, <b>J. Basso</b>, I. Yurchenko, M. Wiens, C. Staii, <a href="https://pubs.rsc.org/en/content/articlehtml/2019/sm/c9sm01769k"><i>Soft Matter</i></a> (2019)</li>
<li><a href="https://arxiv.org/abs/1906.05679">Anomalous diffusion for neuronal growth on surfaces with controlled geometries</a>, I. Yurchenko, <b>J. Basso</b>, V. Syrotenko, C. Staii, <a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0216181"><i>PLoS One</i></a> (2019)</li>
<li><a href="https://arxiv.org/abs/1903.01337">Role of geometrical cues in neuronal growth</a>, <b>J. Basso</b>, I. Yurchenko, M. Simon, D. Rizzo, C. Staii, <a href="https://journals.aps.org/pre/abstract/10.1103/PhysRevE.99.022408"><i>Physical Review E</i></a> (2019)</li>
<li><a href="https://www.cambridge.org/core/journals/mrs-communications/article/neuronal-dynamics-on-patterned-substrates-measured-by-fluorescence-microscopy/F76E9F3052AF64349D6BA9E0898769A1">Neuronal dynamics on patterned substrates measured by fluorescence microscopy</a>, <b>J. Basso</b>, M. Simon, C. Staii, <a href="https://www.cambridge.org/core/journals/mrs-communications/article/neuronal-dynamics-on-patterned-substrates-measured-by-fluorescence-microscopy/F76E9F3052AF64349D6BA9E0898769A1"><i>MRS Communications</i></a> (2018)</li>
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