{"id":1109,"date":"2021-03-04T14:51:27","date_gmt":"2021-03-04T19:51:27","guid":{"rendered":"https:\/\/quantum.ncsu.edu\/ibm-quantum\/?post_type=tribe_events&#038;p=1109"},"modified":"2021-03-17T16:15:25","modified_gmt":"2021-03-17T20:15:25","slug":"quantum-lunch-series-event-speaker-milad-marvian","status":"publish","type":"tribe_events","link":"https:\/\/quantum.ncsu.edu\/ibm-quantum\/event\/quantum-lunch-series-event-speaker-milad-marvian\/","title":{"rendered":"Quantum Lunch Series Event &#8211; Speaker Milad Marvian"},"content":{"rendered":"<p><strong>Talk Title: <\/strong>Quantum Earth Mover&#8217;s Distance: A New Approach to Learning Quantum Data<\/p>\n<p><strong>Speaker: <\/strong>Professor Milad Marvian, University of New Mexico<\/p>\n<p>Milad Marvian is an Assistant Professor in the Department of Electrical &amp; Computer Engineering at the University of New Mexico and also a member of the Center for Quantum Information and Control (CQuIC). He completed his Ph.D. in 2018 at the University of Southern California and before joining UNM was a postdoctoral associate at MIT. His research interest includes quantum algorithms and quantum machine learning, quantum error correction, and open quantum systems.<\/p>\n<p><strong>Abstract:<br \/>\n<\/strong>In this talk, I will introduce a generalization of the earth mover&#8217;s distance to the set of quantum states. The proposed distance recovers the Hamming distance for the vectors of the canonical basis, and more generally the classical earth mover&#8217;s distance for quantum states diagonal in the canonical basis. I will discuss some desirable properties of this distance, including a continuity bound for the von Neumann entropy and its insensitivity to local perturbations, and I will show how these properties make the distance suitable for learning quantum data using quantum generative adversarial networks<br \/>\nBased on\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2009.04469\" target=\"_blank\" rel=\"noopener\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/arxiv.org\/abs\/2009.04469&amp;source=gmail&amp;ust=1616098197784000&amp;usg=AFQjCNEECi3P1kdtw-OETIAwy0B2gUMjzg\">https:\/\/arxiv.org\/abs\/2009.04469<\/a>\u00a0and\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2101.03037\" target=\"_blank\" rel=\"noopener\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/arxiv.org\/abs\/2101.03037&amp;source=gmail&amp;ust=1616098197784000&amp;usg=AFQjCNGgghWJvQtNFtK1ZdRXNPfey7wKHw\">https:\/\/arxiv.org\/abs\/2101.03037<\/a>.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>This is a Virtual Event.<\/strong><\/p>\n<p>For more information email:<\/p>\n<p>quantumcomputing@ncsu.edu<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Talk Title: Quantum Earth Mover&#8217;s Distance: A New Approach to Learning Quantum Data Speaker: Professor Milad Marvian, University of New Mexico Milad Marvian is an Assistant Professor in the Department&hellip;<\/p>\n","protected":false},"author":43,"featured_media":0,"template":"","meta":{"_acf_changed":false,"ncst_custom_author":"","ncst_show_custom_author":false,"ncst_dynamicHeaderBlockName":"","ncst_dynamicHeaderData":"","ncst_content_audit_freq":"","ncst_content_audit_date":"","ncst_content_audit_display":false,"ncst_backToTopFlag":"","_tribe_events_status":"","_tribe_events_status_reason":"","_tribe_events_is_hybrid":"","_tribe_events_is_virtual":"","_tribe_events_virtual_video_source":"","_tribe_events_virtual_embed_video":"","_tribe_events_virtual_linked_button_text":"","_tribe_events_virtual_linked_button":"","_tribe_events_virtual_show_embed_at":"","_tribe_events_virtual_show_embed_to":[],"_tribe_events_virtual_show_on_event":"","_tribe_events_virtual_show_on_views":"","_tribe_events_virtual_url":"","footnotes":""},"tags":[],"tribe_events_cat":[],"class_list":["post-1109","tribe_events","type-tribe_events","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - 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