{"id":14,"date":"2023-04-10T17:49:38","date_gmt":"2023-04-10T17:49:38","guid":{"rendered":"https:\/\/live-optics-wp.pantheonsite.io\/quantumandai\/?page_id=14"},"modified":"2023-05-19T11:11:15","modified_gmt":"2023-05-19T11:11:15","slug":"agenda","status":"publish","type":"page","link":"https:\/\/wp.optics.arizona.edu\/quantumandai\/agenda\/","title":{"rendered":"Agenda"},"content":{"rendered":"\n
Thursday, May 18, 2023<\/strong><\/td><\/td><\/td><\/td><\/tr>
Session 1: Machine Learning Frameworks and Applications<\/strong><\/td><\/td><\/td><\/td><\/tr>
Time<\/strong><\/td>Name<\/strong><\/td>Institution<\/strong><\/td>Talk Title<\/strong><\/td><\/tr>
8:00 – 8:45 AM<\/td>Registration and Breakfast<\/td><\/td><\/td><\/tr>
8:45 – 8:50 AM<\/td>Saikat Guha<\/td>UArizona<\/td>Welcome remarks<\/td><\/tr>
8:50 – 9:00 AM<\/td>Derya Cansever<\/td>Army Research Lab<\/td>Charge of the workshop<\/td><\/tr>
9:00 – 9:30 AM<\/td>Surya Ganguli<\/td>Stanford<\/td>High dimensional geometry and dynamics of computing with many-body-physics<\/td><\/tr>
9:30 – 10:00 AM<\/td>Lizhong Zheng<\/td>MIT<\/td>Feature-based Information Metrics and Applications<\/td><\/tr>
10:00 – 10:30 AM<\/td>Prithwish Basu<\/td>Raytheon BBN<\/td>Generating conceptual designs via machine learning<\/td><\/tr>
10:30 – 11:00 AM<\/td>Break<\/strong><\/td><\/td><\/td><\/tr>
11:00 – 11:30 AM<\/td>Hakan Tureci<\/td>Princeton<\/td>Eigentask Learning: Tackling the Challenge of Sampling Noise in Quantum Machine Learning<\/td><\/tr>
11:30 AM – 12:00 PM<\/td>Na Young Kim<\/td>U Waterloo<\/td>Deep Neural Network Models for Complex Random Telegraph Signals<\/td><\/tr>
12:00 – 1:00 PM<\/td>Lunch + Brainstorming on Session 1<\/td><\/td><\/td><\/tr>
Session 2: Classical AI for Quantum<\/strong><\/td><\/td><\/td><\/td><\/tr>
Time<\/strong><\/td>Name<\/strong><\/td>Institution<\/strong><\/td>Talk title<\/strong><\/td><\/tr>
1:00 – 1:30 PM<\/td>Joseph Lukens<\/td>ASU<\/td>Quantum state tomography with Bayesian computational methods<\/td><\/tr>
1:30 – 2:00 PM<\/td>Brian Kirby<\/td>Army Research Lab<\/td>Enhanced quantum state reconstruction with neural networks<\/td><\/tr>
2:00 – 2:30 PM<\/td>Alex Greenwood (Li Qian group)<\/td>U Toronto<\/td>Machine-Learning-Derived Entanglement Witnesses<\/td><\/tr>
2:30 – 3:00 PM<\/td>Break<\/strong><\/td><\/td><\/td><\/tr>
3:00 – 3:30 PM<\/td>Sanjaya Lohani<\/td>UIC<\/td>ML assisted variational quantum algorithm<\/td><\/tr>
3:30 – 4:00 PM<\/td>Stefan Krastanov<\/td>UMass Amherst<\/td>Better Entanglement Distillation: Simulating better in order to optimize better<\/td><\/tr>
4:00 – 5:00 PM<\/td>Brainstorming on Session 2<\/td><\/td><\/td><\/tr>
6:30 PM<\/td>Dinner at Dirk’s apartment <\/td><\/td>Address: 116 Pleasant St #3, Brookline, MA 02446<\/td><\/tr>
<\/td><\/td><\/td><\/td><\/tr>
Friday, May 19, 2023<\/strong><\/td><\/td><\/td><\/td><\/tr>
Session 3: Quantum Intelligent Sensors and Networks<\/strong><\/td><\/td><\/td><\/td><\/tr>
Time<\/strong><\/td>Name<\/strong><\/td>Institution<\/strong><\/td>Talk title<\/strong><\/td><\/tr>
8:00 – 8:45 AM<\/td>Registration and Breakfast<\/td><\/td><\/td><\/tr>
8:45 – 9:00 AM<\/td>Recap of Day 1, Logistical remarks<\/td><\/td><\/td><\/tr>
9:00 – 9:30 AM<\/td>Quntao Zhuang<\/td>USC<\/td>Quantum machine learning in intelligent sensors<\/td><\/tr>
9:30 – 10:00 AM<\/td>Saikat Guha<\/td>UArizona<\/td>Optical-domain learning for super-resolution imaging<\/td><\/tr>
10:00 – 10:30 AM<\/td>Valeria Saggio<\/td>MIT<\/td>Quantum-enhanced reinforcement
learning<\/td><\/tr>
10:30 – 11:00 AM<\/td>Break<\/strong><\/td><\/td><\/td><\/tr>
11:00 – 11:30 AM<\/td>Mihir Bhaskar<\/td>Amazon<\/td>Engineering efficient quantum nanophotonic systems<\/td><\/tr>
11:30 AM – 12:00 PM<\/td>Dirk Englund<\/td>MIT<\/td>Programming Complex Systems for Quantum Information & Machine Learning<\/td><\/tr>
12:00 – 1:00 PM<\/td>Lunch + Brainstorming on Session 3<\/td><\/td><\/td><\/tr>
Session 4:<\/strong> Algorithms for NISQ Processors<\/strong><\/td><\/td><\/td><\/td><\/tr>
Time<\/strong><\/td>Name<\/strong><\/td>Institution<\/strong><\/td>Talk title<\/strong><\/td><\/tr>
1:00 – 1:30 PM<\/td>Nathan Killoran<\/td>Xanadu<\/td>Quantum machine learning: How far have we come, and how far do we have to go?<\/td><\/tr>
1:30 – 2:00 PM<\/td>Jungsang Kim<\/td>IonQ\/Duke<\/td>Quantum machine learning with trapped-ion quantum computers<\/td><\/tr>
2:00 – 2:30 PM<\/td>Junyu Liu (Liang Jiang’s group) <\/td>UChicago<\/td>Quantum AI: From Near-Term to Fault-Tolerance<\/td><\/tr>
2:30 – 3:00 PM<\/td>Break<\/td><\/td><\/td><\/tr>
3:00 – 3:30 PM<\/td>Yanzhu Chen (Sophia Economou group)<\/td>Virginia Tech<\/td>Improving NISQ algorithms with an adaptive strategy<\/td><\/tr>
3:30 – 4:00 PM<\/td>Gerry Angelatos<\/td>Raytheon BBN<\/td>Reservoir Computing for Quantum Measurement<\/td><\/tr>
4:00 – 5:00 PM<\/td>Brainstorming on Session 4<\/td><\/td><\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"

Thursday, May 18, 2023 Session 1: Machine Learning Frameworks and Applications Time Name Institution Talk Title 8:00 – 8:45 AM Registration and Breakfast 8:45 – 8:50 AM Saikat Guha UArizona Welcome remarks 8:50 – 9:00 AM Derya Cansever Army Research Lab Charge of the workshop 9:00 – 9:30 AM Surya Ganguli Stanford High dimensional geometry and dynamics of computing with<\/p>\n","protected":false},"author":91,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"template-fullwidth.php","meta":{"footnotes":""},"class_list":["post-14","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/wp.optics.arizona.edu\/quantumandai\/wp-json\/wp\/v2\/pages\/14","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.optics.arizona.edu\/quantumandai\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.optics.arizona.edu\/quantumandai\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.optics.arizona.edu\/quantumandai\/wp-json\/wp\/v2\/users\/91"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.optics.arizona.edu\/quantumandai\/wp-json\/wp\/v2\/comments?post=14"}],"version-history":[{"count":25,"href":"https:\/\/wp.optics.arizona.edu\/quantumandai\/wp-json\/wp\/v2\/pages\/14\/revisions"}],"predecessor-version":[{"id":144,"href":"https:\/\/wp.optics.arizona.edu\/quantumandai\/wp-json\/wp\/v2\/pages\/14\/revisions\/144"}],"wp:attachment":[{"href":"https:\/\/wp.optics.arizona.edu\/quantumandai\/wp-json\/wp\/v2\/media?parent=14"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}