{"646346":{"#nid":"646346","#data":{"type":"news","title":"Miller Chosen for NDSEG Fellowship","body":[{"value":"\u003Cp\u003ENathan Miller has been chosen as a recipient of the 2021 National Defense Science and Engineering Graduate (NDSEG) Fellowship. This fellowship is the highest honor awarded to graduate students by the U.S. Department of Defense agencies. It will support Miller\u0026rsquo;s Ph.D. studies for three years in the Georgia Tech School of Electrical and Computer Engineering (ECE).\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMiller has been a member of the Gigascale Reliable Energy-Efficient Nanosystem (GREEN) Lab since fall 2019 and graduated with his B.S.E.E. degree from the University of Florida. He is advised by Saibal Mukhopadhyay, who is the Joseph M. Pettit Professor in ECE and director of the GREEN Lab.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe title of Miller\u0026#39;s research project is \u0026ldquo;Quantum Machine Learning for Dynamical Systems Considering Quantum Errors.\u0026rdquo; The objective is to explore the co-design of quantum devices and circuits for robust quantum Hopfield networks (QHNs), which are tolerant to quantum errors. In the noisy intermediate-scale quantum (NISQ) computing era, quantum computers are very limited in size and are highly susceptible to noise.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EUsing a quantum neuron design, Miller and his colleagues have implemented a quantum Hopfield associative memory (QHAM) architecture using IBM\u0026rsquo;s quantum development platform IBMQ, which can be run on actual quantum hardware devices. They benchmark the system performance against errors from decoherence of the quantum bits (qubits), limited connectivity in hardware, and quantum circuit errors from measurement and quantum gate implementation.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWith this groundwork, Miller and his colleagues are developing reliable QHNs, which will facilitate efficient machine enabled learning of complex dynamical systems. By maximizing the computation power of a limited number of qubits, significant contributions to solving difficult machine learning problems can be created through quantum computing in the NISQ era.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EApplications of Miller\u0026rsquo;s research include solving computationally difficult problems in areas such as quantum chemistry, biological systems, disease propagation, weather forecasting, multi-agent robotics, and computer vision. Areas impacted through these models include medicine, climate science, autonomous systems, security, and economics, and have broad, global impacts which can contribute greatly to everyday quality of life.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EECE Ph.D. student\u0026nbsp;Nathan Miller has been chosen as a recipient of the 2021 National Defense Science and Engineering Graduate (NDSEG) Fellowship.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"ECE Ph.D. student\u00a0Nathan Miller has been chosen as a recipient of the 2021 National Defense Science and Engineering Graduate (NDSEG) Fellowship. "}],"uid":"27241","created_gmt":"2021-04-10 19:10:57","changed_gmt":"2021-04-10 19:10:57","author":"Jackie Nemeth","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-04-10T00:00:00-04:00","iso_date":"2021-04-10T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"646345":{"id":"646345","type":"image","title":"Nathan Miller","body":null,"created":"1618081064","gmt_created":"2021-04-10 18:57:44","changed":"1618081064","gmt_changed":"2021-04-10 18:57:44","alt":"photograph of Nathan Miller","file":{"fid":"245353","name":"nathan_ece_picture.jpg","image_path":"\/sites\/default\/files\/images\/nathan_ece_picture.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/nathan_ece_picture.jpg","mime":"image\/jpeg","size":590010,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/nathan_ece_picture.jpg?itok=aQJMko9Y"}}},"media_ids":["646345"],"related_links":[{"url":"https:\/\/greenlab.ece.gatech.edu","title":"Gigascale Reliable Energy-Efficient Nanosystem (GREEN) Lab"},{"url":"http:\/\/www.ece.gatech.edu","title":"School of Electrical and Computer Engineering"},{"url":"http:\/\/www.gatech.edu","title":"Georgia Tech"},{"url":"https:\/\/ndseg.sysplus.com","title":"National Defense Science and Engineering Graduate Fellowship Program"}],"groups":[{"id":"1255","name":"School of Electrical and Computer Engineering"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"},{"id":"135","name":"Research"},{"id":"145","name":"Engineering"},{"id":"149","name":"Nanotechnology and Nanoscience"},{"id":"150","name":"Physics and Physical Sciences"}],"keywords":[{"id":"187551","name":"Nathan Miller"},{"id":"166900","name":"Saibal Mukhopadhyay"},{"id":"109","name":"Georgia Tech"},{"id":"166855","name":"School of Electrical and Computer Engineering"},{"id":"177758","name":"National Defense Science and Engineering Graduate Fellowship"},{"id":"180043","name":"U.S. Department of Defense"},{"id":"183927","name":"Gigascale Reliable Energy-Efficient Nanosystem (GREEN) Lab"},{"id":"187552","name":"quantum machine learning"},{"id":"55921","name":"Dynamical Systems"},{"id":"182546","name":"quantum devices"},{"id":"187553","name":"quantum circuits"},{"id":"187554","name":"quantum Hopfield networks"},{"id":"4359","name":"quantum computing"},{"id":"187555","name":"quantum Hopfield associative memory (QHAM) architecture"},{"id":"95271","name":"qubits"},{"id":"9167","name":"machine learning"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39451","name":"Electronics and Nanotechnology"},{"id":"39531","name":"Energy and Sustainable Infrastructure"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJackie Nemeth\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Electrical and Computer Engineering\u003C\/p\u003E\r\n\r\n\u003Cp\u003E404-894-2905\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ejackie.nemeth@ece.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["jackie.nemeth@ece.gatech.edu"],"slides":[],"orientation":[],"userdata":""}}}