Eigenvector approximation leading to exponential speedup of quantum eigenvalue calculation.
We present an efficient method for preparing the initial state required by the eigenvalue approximation quantum algorithm of Abrams and Lloyd. Our method can be applied when solving continuous Hermitian eigenproblems, e.g., the Schrödinger equation, on a discrete grid. We start with a classically obtained eigenvector for a problem discretized on a coarse grid, and we efficiently construct, quantum mechanically, an approximation of the same eigenvector on a fine grid. We use this approximation as the initial state for the eigenvalue estimation algorithm, and show the relationship between its success probability and the size of the coarse grid.
Jaksch
Peter
P
Department of Computer Science, Columbia University, New York, New York 10027-6902, USA. petja@cs.columbia.edu
Papageorgiou
Anargyros
A