The Problem of Dynamic Programming on a Quantum Computer
Not on the map. Why?
Abstract (arXiv)
We discuss the problem of finite-horizon dynamic programming (DP) on a quantum computer. We introduce a query model for studying quantum and classical algorithms for solving DP problems, and provide example oracle constructions for the travelling salesperson problem, the minimum set-cover problem, and the edit distance problem. We formulate open questions regarding quadratic quantum speedups for DP and discuss their implications. We then prove lower bounds for the query complexity of quantum algorithms and classical randomized algorithms for DP, and show that no greater-than-quadratic speedup can be achieved for solving DP problems.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Jun 2019.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2022: 2.
2 papers.
- 2022A Survey on Quantum Reinforcement Learningcited by 50
- 2022Quantum policy gradient algorithmscited by 15
- 2022Quantum policy gradient algorithms19 Dec 2022
- 2022A Survey on Quantum Reinforcement Learning7 Nov 2022