Agenda

Thursday, May 18, 2023
Session 1: Machine Learning Frameworks and Applications
TimeNameInstitutionTalk Title
8:00 – 8:45 AMRegistration and Breakfast
8:45 – 8:50 AMSaikat GuhaUArizonaWelcome remarks
8:50 – 9:00 AMDerya CanseverArmy Research LabCharge of the workshop
9:00 – 9:30 AMSurya GanguliStanfordHigh dimensional geometry and dynamics of computing with many-body-physics
9:30 – 10:00 AMLizhong ZhengMITFeature-based Information Metrics and Applications
10:00 – 10:30 AMPrithwish BasuRaytheon BBNGenerating conceptual designs via machine learning
10:30 – 11:00 AMBreak
11:00 – 11:30 AMHakan TureciPrincetonEigentask Learning: Tackling the Challenge of Sampling Noise in Quantum Machine Learning
11:30 AM – 12:00 PMNa Young KimU WaterlooDeep Neural Network Models for Complex Random Telegraph Signals
12:00 – 1:00 PMLunch + Brainstorming on Session 1
Session 2: Classical AI for Quantum
TimeNameInstitutionTalk title
1:00 – 1:30 PMJoseph LukensASUQuantum state tomography with Bayesian computational methods
1:30 – 2:00 PMBrian KirbyArmy Research LabEnhanced quantum state reconstruction with neural networks
2:00 – 2:30 PMAlex Greenwood (Li Qian group)U TorontoMachine-Learning-Derived Entanglement Witnesses
2:30 – 3:00 PMBreak
3:00 – 3:30 PMSanjaya LohaniUICML assisted variational quantum algorithm
3:30 – 4:00 PMStefan KrastanovUMass AmherstBetter Entanglement Distillation: Simulating better in order to optimize better
4:00 – 5:00 PMBrainstorming on Session 2
6:30 PMDinner at Dirk’s apartment Address: 116 Pleasant St #3, Brookline, MA 02446
Friday, May 19, 2023
Session 3: Quantum Intelligent Sensors and Networks
TimeNameInstitutionTalk title
8:00 – 8:45 AMRegistration and Breakfast
8:45 – 9:00 AMRecap of Day 1, Logistical remarks
9:00 – 9:30 AMQuntao ZhuangUSCQuantum machine learning in intelligent sensors
9:30 – 10:00 AMSaikat GuhaUArizonaOptical-domain learning for super-resolution imaging
10:00 – 10:30 AMValeria SaggioMITQuantum-enhanced reinforcement
learning
10:30 – 11:00 AMBreak
11:00 – 11:30 AMMihir BhaskarAmazonEngineering efficient quantum nanophotonic systems
11:30 AM – 12:00 PMDirk EnglundMITProgramming Complex Systems for Quantum Information & Machine Learning
12:00 – 1:00 PMLunch + Brainstorming on Session 3
Session 4: Algorithms for NISQ Processors
TimeNameInstitutionTalk title
1:00 – 1:30 PMNathan KilloranXanaduQuantum machine learning: How far have we come, and how far do we have to go?
1:30 – 2:00 PMJungsang KimIonQ/DukeQuantum machine learning with trapped-ion quantum computers
2:00 – 2:30 PMJunyu Liu (Liang Jiang’s group) UChicagoQuantum AI: From Near-Term to Fault-Tolerance
2:30 – 3:00 PMBreak
3:00 – 3:30 PMYanzhu Chen (Sophia Economou group)Virginia TechImproving NISQ algorithms with an adaptive strategy
3:30 – 4:00 PMGerry AngelatosRaytheon BBNReservoir Computing for Quantum Measurement
4:00 – 5:00 PMBrainstorming on Session 4