Towards a general framework of Randomized Benchmarking incorporating non-Markovian Noise.
Pedro Figueroa-RomeroKavan ModiMin-Hsiu HsiehPublished in: Quantum (2022)
Keyphrases
- noise reduction
- reinforcement learning
- signal to noise ratio
- missing data
- noisy environments
- image noise
- noise model
- additive noise
- decision processes
- noise level
- noisy data
- background noise
- sensor noise
- noise sensitivity
- random noise
- low snr
- low signal to noise ratio
- noise removal
- stochastic process
- neural network
- situation calculus
- hidden markov models
- multi agent systems
- data structure
- multiscale
- information retrieval