On the regularization and optimization in quantum detector tomography.
Shuixin XiaoYuanlong WangJun ZhangDaoyi DongShota YokoyamaIan R. PetersenHidehiro YonezawaPublished in: Autom. (2023)
Keyphrases
- optimization problems
- image reconstruction
- optimization algorithm
- global optimization
- deterministic annealing
- risk minimization
- prior information
- kernel machines
- optimization process
- quantum computing
- information retrieval
- channel capacity
- norm minimization
- stochastic gradient descent
- convex relaxation
- optimization model
- convex optimization
- optimization method
- detection algorithm
- object detection
- support vector
- objective function
- three dimensional