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This paper explores the possibility to construct quantum algorithms by means of neural networks endowed with quantum gates evolved to achieve prescribed goals. First tentatives are performed on the well known Deutsch and Deutsch-Jozsa problems. Results are promising as solutions are detected for different sizes and initializations of the problems using a standard evolutionary learning process. This approach is then used to design quantum operators by combining simple quantum operators belonging to a predefined set.
|Title of host publication||Artificial Life and Evolutionary Computation - 12th Italian Workshop, WIVACE 2017, Revised Selected Papers|
|Editors||Marcello Pelillo, Irene Poli, Debora Slanzi, Roberto Serra, Marco Villani, Andrea Roli|
|Number of pages||13|
|Publication status||Published - 2 May 2018|
|Name||Communications in Computer and Information Science|
- Quantum Neural Networks
- Quantum Algorithms
- Genetic Algorithm
- heuristic method
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- 1 Participation in workshop, seminar, course
Delphine Nicolay (Contributor)19 Sep 2017 → 21 Sep 2017
Activity: Participating in or organising an event types › Participation in workshop, seminar, course