Search Results for author:
Found 7 papers, 5 papers with code
On the implementation of a global optimization method for mixed-variable problems
We describe the optimization algorithm implemented in the open-source derivative-free solver RBFOpt.
Improving Variational Quantum Optimization using CVaR
The expectation is estimated as the sample mean of a set of measurement outcomes, while the parameters of the trial state are optimized classically.
Quantum Physics
Globally Optimal Symbolic Regression
In this study we introduce a new technique for symbolic regression that guarantees global optimality.
Breaking the 49-Qubit Barrier in the Simulation of Quantum Circuits
With the current rate of progress in quantum computing technologies, 50-qubit systems will soon become a reality.
Quantum Physics
An Introduction to Quantum Computing, Without the Physics
This paper is a gentle but rigorous introduction to quantum computing intended for discrete mathematicians.
Discrete Mathematics Data Structures and Algorithms Quantum Physics 68Q12
An effective algorithm for hyperparameter optimization of neural networks
This paper addresses the problem of choosing appropriate parameters for the NN by formulating it as a box-constrained mathematical optimization problem, and applying a derivative-free optimization tool that automatically and effectively searches the parameter space.
RBFOpt: an open-source library for black-box optimization with costly function evaluations
We consider the problem of optimizing an unknown function given as an oracle over a mixed-integer box-constrained set.
