{"id":5320,"date":"2026-05-13T14:59:49","date_gmt":"2026-05-13T18:59:49","guid":{"rendered":"https:\/\/oge.mit.edu\/msrp\/?post_type=profiles&#038;p=5320"},"modified":"2026-10-09T11:48:08","modified_gmt":"2026-10-09T15:48:08","slug":"isaac-monteiro","status":"publish","type":"profiles","link":"https:\/\/oge.mit.edu\/msrp\/profiles\/isaac-monteiro\/","title":{"rendered":"Isaac Monteiro"},"content":{"rendered":"\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:100%\">\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-8f761849 wp-block-group-is-layout-flex\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"300\" src=\"https:\/\/oge.mit.edu\/msrp\/wp-content\/uploads\/sites\/2\/2026\/05\/Moneiro-Isaac-e1791560790787.jpg\" alt=\"Monteiro, Isaac\" class=\"wp-image-5617\" \/><\/figure>\n\n\n\n<p class=\"wp-container-content-69bc4bdf wp-block-paragraph\"><strong>MIT Department: <\/strong><br>Aeronautics and Astronautics<br><br><strong>Faculty Mentor<\/strong>: <br>Moe Win<br><br><strong>Research Supervisor: <\/strong><br>Maison Clouatre<br><br><strong>Undergraduate Institution:<\/strong><br>Mercer University<strong><br><\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Biography<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Isaac Monteiro is a rising Junior from Lawrenceville, Georgia, majoring in Electrical Engineering and Mathematics at Mercer University. At Mercer, Isaac is a Stamps Scholar, a member of the Engineering Honors Program and the Mercer Robotics Club, and a participant in a Mercer On Mission service-learning project in Cape Town, South Africa. He has held intern positions at the Georgia Tech Research Institute and Travis Pruitt &amp; Associates. In Mercer\u2019s Cyber-Physical Systems and Control Lab, he has nurtured an interest in control theory, optimization, and electrical automation through research under the mentorship of Dr. Makhin Thitsa. His current research investigates multi-agent systems, gradient-free optimization, and other topics in nonlinear control. In the future, Isaac aspires to earn a PhD in engineering with a focus on controls and automation. He hopes to research optimization strategies that contribute to the future of energy and environmental sustainability at a national lab.<\/p>\n\n\n\n<p class=\"has-text-align-center wp-block-paragraph\"><br><strong>Information-Optimal Measurements for Multiparameter Quantum Estimation<\/strong><br>Isaac Monteiro<sup>1<\/sup>, Maison Clou\u00e2tr\u00e9<sup>2<\/sup>, Moe Z. Win<sup>2<\/sup><br><sup>1<\/sup>Department of Electrical and Computer Engineering, Mercer University<br><sup>2<\/sup>Department of Aeronautics and Astronautics, Massachusetts Institute of Technology<\/p>\n\n\n\n<p class=\"has-text-align-left wp-block-paragraph\"><br>Multiparameter quantum estimation (MQE) has many applications in sensing, metrology, and computing. The goal of MQE is to infer a collection of parameters that are encoded into the state of a quantum system. This is done by measuring the state using a particular measurement apparatus and then constructing parameter estimators based on the measurement outcomes. The quality of such estimators is limited by the amount of information contained in the measurement outcomes. Therefore, an important engineering task is to design measurements that optimize this information in an appropriate way. This project introduces new information quantities for MQE that are constructed by optimizing the measurement used to interrogate the parameterized quantum state. In particular, we scalarize the Fisher information matrix, optimize the scalarization over physically-realizable measurements, and study the mathematical properties of this scalarization. This work demonstrates that measurements optimized for information extraction lead to improved capabilities in quantum metrology and sensing. Future directions for this research include developing an adaptive measurement framework to enable the selection of optimal measurements even when said measurements depend on the unknown parameters. Furthermore, a case study using a particular application (e.g., nitrogen vacancy (NV) center magnetometers) could demonstrate the framework\u2019s efficacy for quantum sensing.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"featured_media":5617,"template":"","profile_category":[25],"class_list":["post-5320","profiles","type-profiles","status-publish","has-post-thumbnail","hentry","profile_category-2026-interns"],"acf":[],"_links":{"self":[{"href":"https:\/\/oge.mit.edu\/msrp\/wp-json\/wp\/v2\/profiles\/5320","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oge.mit.edu\/msrp\/wp-json\/wp\/v2\/profiles"}],"about":[{"href":"https:\/\/oge.mit.edu\/msrp\/wp-json\/wp\/v2\/types\/profiles"}],"version-history":[{"count":4,"href":"https:\/\/oge.mit.edu\/msrp\/wp-json\/wp\/v2\/profiles\/5320\/revisions"}],"predecessor-version":[{"id":6046,"href":"https:\/\/oge.mit.edu\/msrp\/wp-json\/wp\/v2\/profiles\/5320\/revisions\/6046"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oge.mit.edu\/msrp\/wp-json\/wp\/v2\/media\/5617"}],"wp:attachment":[{"href":"https:\/\/oge.mit.edu\/msrp\/wp-json\/wp\/v2\/media?parent=5320"}],"wp:term":[{"taxonomy":"profile_category","embeddable":true,"href":"https:\/\/oge.mit.edu\/msrp\/wp-json\/wp\/v2\/profile_category?post=5320"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}