Quantum-Inspired Algorithms for Solving Low-Rank Linear Equation Systems with Logarithmic Dependence on the Dimension.
Nai-Hui ChiaAndrás GilyénHan-Hsuan LinSeth LloydEwin TangChunhao WangPublished in: ISAAC (2020)
Keyphrases
- low rank
- matrix factorization
- low rank matrix
- quantum inspired
- high order
- linear systems
- singular value decomposition
- learning algorithm
- missing data
- optimization problems
- multi objective
- pattern recognition
- linear combination
- combinatorial optimization
- distributed systems
- evolutionary algorithm
- matrix completion
- training set