Bao Gia Bach, Akash Kundu, Tamal Acharya, Aritra Sarkar (2023), Visualizing Quantum Circuit Probability: Estimating Quantum State Complexity for Quantum Program Synthesis, In Entropy Volume 25.

A. Sarkar (2022), Applications of Quantum Computation and Algorithmic Information: for Causal Modeling in Genomics and Reinforcement Learning, PhD Thesis Delft University of Technology.

Anna M. Krol, Aritra Sarkar, Imran Ashraf, Zaid Al-Ars, Koen Bertels (2022), Efficient Decomposition of Unitary Matrices in Quantum Circuit Compilers, In Applied Sciences Volume 12 p.1-20.

Aritra Sarkar, Zaid Al-Ars, Koen Bertels (2021), Estimating Algorithmic Information Using Quantum Computing for Genomics Applications, In Applied Sciences Volume 11 p.1-25.

Aritra Sarkar, Zaid Al-Ars, Carmen G. Almudever, Koen L.M. Bertels (2021), QiBAM: Approximate Sub-String Index Search on Quantum Accelerators Applied to DNA Read Alignment, In Electronics (Switzerland) Volume 10 p.1-17.

Thomas Hubregtsen, Christoph Segler, Josef Pichlmeier, Aritra Sarkar, Thomas Gabor, Koen Bertels (2020), Integration and Evaluation of Quantum Accelerators for Data-Driven User Functions, In Proceedings of the 21st International Symposium on Quality Electronic Design, ISQED 2020 p.329-334, IEEE.

K. Bertels, A. Sarkar, T Hubregtsen, M. Serrao , A.A. Mouedenne, A. Yadav, A. Krol, I. Ashraf (2020), Quantum Computer Architecture: Towards Full-Stack Quantum Accelerators, Giorgio Di Natale, Cristiana Bolchini, Elena-Ioana Vatajelu (Eds.), In Proceedings of the 2020 Design, Automation and Test in Europe Conference and Exhibition, DATE 2020 p.1-6, IEEE.