We create a variety of new quantum algorithms that use Grover's algorithm and similar techniques to give polynomial speedups over their classical counterparts. We begin by introducing a set of tools that carefully minimize the impact of errors on running time; those tools provide us with speedups to already-published quantum algorithms, such as improving Durr, Heiligman, Hoyer and Mhalla's algorithm for single-source shortest paths [quant-ph/0401091] by a factor of lg N. The algorithms we construct from scratch have a range of speedups, from O(E)->O(sqrt(VE lg V)) speedups in graph theory to an O(N^3)->O(N^2) speedup in dynamic programming
Grover discovered a quantum algorithm for identifying a target element in an unstructured search uni...
This paper concerns the Grover algorithm that permits to make amplification of quantum states previo...
This paper points at a connection between certain (classical) fine-grained reductions and the questi...
This thesis’ aim is to explore improvements to, and applications of, a fundamental quantum algorithm...
The usual method for studying run-times of quantum algorithms is via an asymptotic, worst-case analy...
The usual method for studying run-times of quantum algorithms is via an asymptotic, worst-case analy...
The usual method for studying run-times of quantum algorithms is via an asymptotic, worst-case analy...
The usual method for studying run-times of quantum algorithms is via an asymptotic, worst-case analy...
Run-times of quantum algorithms are often studied via an asymptotic, worst-case analysis. Whilst use...
Run-times of quantum algorithms are often studied via an asymptotic, worst-case analysis. Whilst use...
Quantum algorithms theoretically outperform classical algorithms in solving problems of increasing s...
The interest in quantum computing originates in the potential of a quan-tum computer to solve certai...
In this article, we formulate and study quantum analogues of randomized search heuristics, which mak...
Quantum algorithms can deliver asymptotic speedups over their classical counterparts. However, there...
Quantum algorithms can deliver asymptotic speedups over their classical counterparts. However, there...
Grover discovered a quantum algorithm for identifying a target element in an unstructured search uni...
This paper concerns the Grover algorithm that permits to make amplification of quantum states previo...
This paper points at a connection between certain (classical) fine-grained reductions and the questi...
This thesis’ aim is to explore improvements to, and applications of, a fundamental quantum algorithm...
The usual method for studying run-times of quantum algorithms is via an asymptotic, worst-case analy...
The usual method for studying run-times of quantum algorithms is via an asymptotic, worst-case analy...
The usual method for studying run-times of quantum algorithms is via an asymptotic, worst-case analy...
The usual method for studying run-times of quantum algorithms is via an asymptotic, worst-case analy...
Run-times of quantum algorithms are often studied via an asymptotic, worst-case analysis. Whilst use...
Run-times of quantum algorithms are often studied via an asymptotic, worst-case analysis. Whilst use...
Quantum algorithms theoretically outperform classical algorithms in solving problems of increasing s...
The interest in quantum computing originates in the potential of a quan-tum computer to solve certai...
In this article, we formulate and study quantum analogues of randomized search heuristics, which mak...
Quantum algorithms can deliver asymptotic speedups over their classical counterparts. However, there...
Quantum algorithms can deliver asymptotic speedups over their classical counterparts. However, there...
Grover discovered a quantum algorithm for identifying a target element in an unstructured search uni...
This paper concerns the Grover algorithm that permits to make amplification of quantum states previo...
This paper points at a connection between certain (classical) fine-grained reductions and the questi...