New paper and other updates

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@@ -14,15 +14,13 @@ <h1>Joao Basso</h1>
 
 <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>In the Fall of 2023, I'm vising <a href="https://www.ipam.ucla.edu">IPAM</a> at <a href="https://www.ucla.edu">UCLA</a> for their <a href="https://www.ipam.ucla.edu/programs/long-programs/mathematical-and-computational-challenges-in-quantum-computing/">program</a> titled Mathematical and Computational Challenges in Quantum Computing.</p>
-
 <p>Most recent research interests: algorithms, quantum optimization.</p>
 
-<p><a href="./joao_cv.pdf">CV</a> (last updated: 09/12/2023)</p>
+<p><a href="./joao_cv.pdf">CV</a> (last updated: 03/02/2024)</p>
 
 <p><a href="https://www.linkedin.com/in/joao-marcos-vensi-basso/">LinkedIn profile</a></p>
 
-<p>Offices: IPAM 1228 at UCLA; 869 Evans Hall at UC Berkeley.</p>
+<p>Office: 869 Evans Hall</p>
 
 <p>Email: joao [dot] basso [at] berkeley [dot] edu</p>
 
@@ -31,9 +29,11 @@ <h2>Publications and preprints</h2>
 For citations and other metrics, check 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/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 (2023)</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 (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">Quantifying 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> (2022)</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>