Discover and read the best of Twitter Threads about #MCQS
Most recents (8)
Welcome everyone to our 2nd Pediatric on Squares Board Review Course
We are starting today until the coming 8 days
Hope it’ll be helpful and enjoyable course
✏️ Note that you still can join and register on the course with accessibility to all recorded session until 27th of August
We are starting today until the coming 8 days
Hope it’ll be helpful and enjoyable course
✏️ Note that you still can join and register on the course with accessibility to all recorded session until 27th of August
Day 1
2nd session: Keys to Answer MCQs
3rd session: Neonatology review
By: Prof. Abdulrahman Alnemari @aalnemri
#Pediatric #Neonatology #NICU #MCQ
2nd session: Keys to Answer MCQs
3rd session: Neonatology review
By: Prof. Abdulrahman Alnemari @aalnemri
#Pediatric #Neonatology #NICU #MCQ
Nows at #MCQS, Rafał Demkowicz-Dobrzański from (@UniWarsawski ) on the grand unified theory of quantum metrology.
#LTQI
#LTQI
Now at #MCQS, Cristina Butucea from @ENSAEParisTech on Local Asymptotc Equivalence of Quantum Gaussian Model
#LTQI
#LTQI
@ENSAEParisTech Cristina Butucea defines an experiment (Ω, A, P) : a measurable space together with a family of probability distributions. Together with Markov Kernels, it allows to define Le Cam‘s distance
#LTQI #MCQS
#LTQI #MCQS
@ENSAEParisTech Cristinea Butucea: Two sequences P₁,n , P₂,n are asymptotically equivalent if their distance →0, which implies thatn many asymptotic risk bound for tests, estimators etc. carry over from a model to the other
#LTQI #MCQS
#LTQI #MCQS
Now at #MCQS, Andrea Rocchetto, from @UCL @UniofOxford on «Machine learning in quantum information theory, a selection of results» #LTQI
@ucl @UniofOxford Andrea Rocchetto defines the PAC (porbabilistically aproximate correct) models, and defines the concept of PAC-learnable: a concept is PAC-learnable iff one can guess a good model for arbitrary input distributions
#LTQI #MCQS
#LTQI #MCQS
@ucl @UniofOxford Andrea Rocchetto: PAC learning on quantum states. The goal is to guess σ havig the same probability ditribution under a binary POVM than the training set ρ. Aaronson proved in 2007 that the problem is really different from tomography. #LTQI #MCQS
Now at #MCQS, Valentina Parigi from @lkb_lab on Reconfigurable optical implementation of quantum complex networks
#LTQI
#LTQI
@lkb_lab .@vparigi81’s synchonously pumped OPO (SPOPO) leads to a complex multimode entanglement structure. She then uses multimode homodyne detection to characterize the corresponding 16-mode covariance matrix.
Eigenmodes found from diagonalization are Hermite-Gauss modes
#LTQI #MCQS
Eigenmodes found from diagonalization are Hermite-Gauss modes
#LTQI #MCQS
@lkb_lab @vparigi81 .@vparigi: showed that all 151k+ partitions of 10 frequency modes are not separable: we are indeed in a multipartite entanglement case.
#LTQI #MCQS
#LTQI #MCQS
Now Chiara Machiavello from@unipv on “Witnessing quantum capcities of noisy communication channels”
#LTQI #MCQS
#LTQI #MCQS
Now at #MCQS, @GerardoAdesso from @UniofNottingham on ""Towards superresolution surface metrology: Quantum estimation of of angular & axial separations"
#LTQI #MCQS
#LTQI #MCQS
@GerardoAdesso @UniofNottingham .@GerardoAdesso teh curs of Raygleigh criterion for high resolution imaging: “two point sources can be resolved by direct imaging if their separation is at least of the order of the width of their point spread function in the image plane”
#LTQI #MCQS
#LTQI #MCQS
@GerardoAdesso @UniofNottingham .@GerardoAdesso : But is this the ultimate limit? We need quantum estimation theory, and the quantum Cramér-Rao bound for that. #LTQI #MCQS
Seated (late) for Andrew Jordan’s (from @UofR) talk at #MCQS on “Estimating with continuous quantum measurement” #LTQI
