Search Results for author:
Found 4 papers, 2 papers with code
Small quantum computers and large classical data sets
We introduce hybrid classical-quantum algorithms for problems involving a large classical data set X and a space of models Y such that a quantum computer has superposition access to Y but not X.
Quantum Physics
Supervised learning with quantum enhanced feature spaces
Both methods represent the feature space of a classification problem by a quantum state, taking advantage of the large dimensionality of quantum Hilbert space to obtain an enhanced solution.
Why now is the right time to study quantum computing
Quantum computing is a good way to justify difficult physics experiments.
Quantum Physics Computational Complexity
Quantum algorithm for solving linear systems of equations
Solving linear systems of equations is a common problem that arises both on its own and as a subroutine in more complex problems: given a matrix A and a vector b, find a vector x such that Ax=b.
Quantum Physics
