{"id":5363,"date":"2026-05-13T14:55:47","date_gmt":"2026-05-13T18:55:47","guid":{"rendered":"https:\/\/oge.mit.edu\/msrp\/?post_type=profiles&#038;p=5363"},"modified":"2026-08-13T15:00:44","modified_gmt":"2026-08-13T19:00:44","slug":"zoe-wang","status":"publish","type":"profiles","link":"https:\/\/oge.mit.edu\/msrp\/profiles\/zoe-wang\/","title":{"rendered":"Zoe Wang"},"content":{"rendered":"<div class=\"wp-block-image\">\n<figure class=\"alignleft size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"400\" height=\"599\" src=\"https:\/\/oge.mit.edu\/msrp\/wp-content\/uploads\/sites\/2\/2026\/05\/Wang-zoe.jpg\" alt=\"by Corban Swain\" class=\"wp-image-5650\" style=\"aspect-ratio:1;object-fit:cover;width:200px;height:auto\" srcset=\"https:\/\/oge.mit.edu\/msrp\/wp-content\/uploads\/sites\/2\/2026\/05\/Wang-zoe.jpg 400w, https:\/\/oge.mit.edu\/msrp\/wp-content\/uploads\/sites\/2\/2026\/05\/Wang-zoe-200x300.jpg 200w\" sizes=\"auto, (max-width: 400px) 100vw, 400px\" \/><\/figure>\n<\/div>\n\n\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<p class=\"wp-block-paragraph\"><strong>Carleton College<\/strong><br>Faculty Advisor: Prof. Troy Van Voorhis<br>Research Supervisor: Shaun Weatherly<br>Department: Chemistry<\/p>\n<\/div><\/div>\n\n\n\n<div style=\"height:0px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Biography<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Zoe Wang is a rising sophomore at Carleton College studying mathematics and religion.<br>This summer, she worked in the Chemistry Department in the Van Voorhis group, which aims<br>to model electron motion in molecules. This problem&#8217;s complexity grows exponentially<br>because one electron&#8217;s motion is correlated with every other electron in a given system. Zoe<br>spent the summer learning about quantum entanglement, information structures, and electron<br>correlation to develop new, efficient methods to reduce this complexity. Her experience has<br>motivated her to continue learning about scientific computing and applied math. During the<br>school year, Zoe is also the Programming Director for Carleton&#8217;s student-led radio station,<br>co-captain of the women&#8217;s ice hockey team, and a Perlman Learning and Teaching Center<br>Student Fellow.<\/p>\n\n\n\n<p class=\"has-text-align-center wp-block-paragraph\"><br><strong>Exploring the Role of Information Structures in Developing Quantum<br>Chemistry Algorithms<br>Zoe Wang1, Shaun Weatherly2, and Troy Van Voorhis2<\/strong><br>1Department of Mathematics and Department of Religion, Carleton College<br>2Department of Chemistry, Massachusetts Institute of Technology<\/p>\n\n\n\n<p class=\"has-text-align-center wp-block-paragraph\"><br>Understanding the fundamental quantum systems that make up molecules is crucial to<br>predicting their physical and chemical properties. These systems are electronic orbitals:<br>wavefunctions that contain all possible degrees of freedom for the system. In practice, finding<br>an orbital&#8217;s exact wavefunction is impossible because electron motion is correlated: every<br>electron&#8217;s behavior is tied to the motion of all neighboring electrons, which affect one another<br>as well. Electron correlation makes finding the wavefunction scale exponentially in<br>complexity, and therefore impossible to compute. In this work, we aim to study the<br>fundamental structure of electronic correlation. We look at how electronic correlation can be<br>quantified as orbital mutual information\u2014how much information different orbitals have about<br>one another\u2014to help explain the limitations of existing quantum chemistry algorithms and<br>guide the development of new, `correlation-aware&#8217; theories and methods. For example, we<br>show that mutual information structures can explain why the density matrix renormalization<br>group (DMRG) fails for non-linear systems. Accurately and efficiently taking advantage of<br>entanglement structures will make these algorithms more optimal, allowing scientists to<br>describe fully complex chemical reactions from first principles.<\/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\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"featured_media":5650,"template":"","profile_category":[25],"class_list":["post-5363","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\/5363","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":3,"href":"https:\/\/oge.mit.edu\/msrp\/wp-json\/wp\/v2\/profiles\/5363\/revisions"}],"predecessor-version":[{"id":5848,"href":"https:\/\/oge.mit.edu\/msrp\/wp-json\/wp\/v2\/profiles\/5363\/revisions\/5848"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oge.mit.edu\/msrp\/wp-json\/wp\/v2\/media\/5650"}],"wp:attachment":[{"href":"https:\/\/oge.mit.edu\/msrp\/wp-json\/wp\/v2\/media?parent=5363"}],"wp:term":[{"taxonomy":"profile_category","embeddable":true,"href":"https:\/\/oge.mit.edu\/msrp\/wp-json\/wp\/v2\/profile_category?post=5363"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}