Impact of input data alteration and modification of the algorithm parameters on the efficiency of quantum programs

Wpływ zmiany danych wejściowych i modyfikacji parametrów algorytmu na wydajność programów kwantowych


QProgMods logo While the excitement in the area of quantum computing is fully justified by the new theoretical developments, year by year scientists have discovered new limitations of quantum computing devices. In particular, unitary operation decomposition provides a number of problems including the applications to hardware with fixed topology. Moreover, quantum algorithms have proved to be sensitive to noise, which may impact the results of the computation. This resulted in the development of a new branch of quantum computing, namely the theory of quantum error-correcting codes. This aspect became even more critical when first commercial quantum computing systems became available. Furthermore, for quantum cryptographic protocols, hardware attacks, based on the security holes of conventional electronics, have been discovered. This demonstrated that the theoretical security confirmed by the laws of physics in the ideal environment could lead to the creation of insecure protocols the real-world applications.

The main goal of the project is to develop theoretical methods suitable for analysing the impact of quantum programme alternation – input data modification or imprecise implementation of the algorithm – on the efficiency of quantum algorithms. Quantum programme is a sequence of quantum operations and the quantum representation of input data which are sent to the quantum processor. In some cases, we can consider quantum programme alternation as an action of a malicious party, and in this scenario, we can understand it as an attack on a quantum processor or quantum program.

Detailed description


Jarosław Miszczak (PI), Özlem Salehi (post-doctoral researcher), Adam Glos (researcher), Ludmila Botelho (PhD student), Akash Kundu (PhD student).



Open PhD position (in Polish)

Open post-doc position




related resources:


This project has been supported by the Polish National Science Center under the grant agreement 2019/33/B/ST6/02011 for the period 30/01/2020 - 29/01/2023.


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