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Learning Quantum Graphical Models using Constrained Gradient Descent on
  the Stiefel Manifold

Learning Quantum Graphical Models using Constrained Gradient Descent on the Stiefel Manifold

9 March 2019
Sandesh Adhikary
Siddarth Srinivasan
Byron Boots
ArXivPDFHTML

Papers citing "Learning Quantum Graphical Models using Constrained Gradient Descent on the Stiefel Manifold"

3 / 3 papers shown
Title
Accuracy vs Memory Advantage in the Quantum Simulation of Stochastic
  Processes
Accuracy vs Memory Advantage in the Quantum Simulation of Stochastic Processes
L. Banchi
18
3
0
20 Dec 2023
Learning Circular Hidden Quantum Markov Models: A Tensor Network
  Approach
Learning Circular Hidden Quantum Markov Models: A Tensor Network Approach
Mohammad Ali Javidian
Vaneet Aggarwal
Z. Jacob
11
4
0
29 Oct 2021
Expressiveness and Learning of Hidden Quantum Markov Models
Expressiveness and Learning of Hidden Quantum Markov Models
Sandesh Adhikary
Siddarth Srinivasan
Geoffrey J. Gordon
Byron Boots
15
11
0
02 Dec 2019
1