Quantum learning algorithms imply circuit lower bounds.
Srinivasan ArunachalamAlex B. GriloTom GurIgor Carboni OliveiraAarthi SundaramPublished in: FOCS (2021)
Keyphrases
- lower bound
- learning algorithm
- logic circuits
- upper bound
- logic synthesis
- online algorithms
- branch and bound algorithm
- branch and bound
- high speed
- learning problems
- machine learning algorithms
- low power
- quantum computing
- lower and upper bounds
- np hard
- quadratic assignment problem
- efficient learning
- upper and lower bounds
- active learning
- circuit design
- transfer learning
- learning tasks
- analog vlsi
- machine learning
- linear programming relaxation
- sample complexity
- analog circuits
- training data
- generalization error
- training samples
- training examples
- optimal solution
- support vector
- back propagation
- lower bounding
- learning process
- learning rate
- cmos technology
- delay insensitive
- vc dimension
- quantum inspired
- supervised learning
- quantum computation