We describe algorithms to obtain an approximate classical description of...
Recently Chen and Gao <cit.> proposed a new quantum algorithm for
Boolea...
In the near-term "NISQ"-era of noisy, intermediate-scale, quantum hardwa...
We demonstrate the possibility of (sub)exponential quantum speedup via a...
We give a classical algorithm for linear regression analogous to the qua...
The Petz recovery channel plays an important role in quantum information...
Aaronson and Ambainis (2009) and Chailloux (2018) showed that fully symm...
The main results on quantum walk search are scattered over different,
in...
We present an algorithmic framework generalizing quantum-inspired
polylo...
A quantum walk algorithm can detect the presence of a marked vertex on a...
A fundamental problem in statistics and learning theory is to test prope...
We construct an efficient classical analogue of the quantum matrix inver...
We study to what extent quantum algorithms can speed up solving convex
o...
We apply the framework of block-encodings, introduced by Low and Chuang
...
We consider a generic framework of optimization algorithms based on grad...