NewsroomMedia & Communications Office
Quantum Long Short-Term Memory
October 13, 2020
Long short-term memory (LSTM) is a kind of recurrent neural networks (RNN) for sequence and temporal dependency data modeling and its effectiveness has been extensively established. In this talk, Chen introduces a hybrid quantum-classical model of LSTM, which he dubs QLSTM.
Latest Videos
-
13:18
Bill Studier, the T7 System, and COVID Vaccines
-
11:45
BSA 2022 Retirement Plan
-
47:11
Science Thursdays: Nuclear Security with Susan Pepper
General Lab Overviews
-
4:34
The Co-design Center for Quantum Advantage
-
1:19
Brookhaven Lab's plant oil research
-
5:09
This is Brookhaven Lab
Video Categories
- AAAG
- accelerators
- addiction
- APAA
- ARRA
- ATLAS
- award
- benefits
- BERA
- biochemistry
- biology
- biosciences
- BNL lecture
- BSA
- BSA distinguished lecture
- BWIS
- BWIS lecture
- cancer research
- catalysis
- celebrations
- CFN
- chemistry
- commercial
- community
- computing
- cosmology
- COVID-19
- CSI
- cyber security
- dignitary
- discovery park
- diversity
- DOE
- earth science
- education
- elected official
- employee assistance
- employee feature
- employee meetings
- energy
- environment
- environmental science
- event
- facility users
- funding
- general lab overviews
- health and wellness
- HHG
- history
- human resources
- instrumentation
- lab infrastructure
- lecture
- lectures & seminars
- lessons
- LHC
- LSST
- maglev contest
- magnets
- materials science
- media coverage
- medical
- medical imaging
- meetings & workshops
- nanotechnology
- NASA
- national security
- neutrinos
- NSLS
- NSLS-II
- NSRL
- partnerships
- personnel
- PET
- photon sciences
- physical therapy
- physics
- Pride Alliance
- quantum computing
- quantum information science
- Quantum Thursdays
- RHIC
- safety
- safety day
- sambamurti
- Science Thursdays
- solar
- STEM
- Stony Brook University
- summer sundays
- superconductivity
- tour
- veterans
- workshops & colloquia
