Akash Kundu, Tamal Acharya, Aritra Sarkar (2024), A Scalable Quantum Gate-Based Implementation for Causal Hypothesis Testing, In Advanced Quantum Technologies Volume 7.

Abhishek Sadhu, Aritra Sarkar, Akash Kundu (2024), A quantum information theoretic analysis of reinforcement learning-assisted quantum architecture search, In Quantum Machine Intelligence Volume 6.

Aritra Sarkar (2024), Automated quantum software engineering, In Automated Software Engineering Volume 31.

Boran Apak, Medina Bandic, Aritra Sarkar, Sebastian Feld (2024), KetGPT – Dataset Augmentation of Quantum Circuits Using Transformers, Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot (Eds.), In Computational Science – ICCS 2024 p.235-251, Springer.

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.

Aritra Sarkar, Zaid Al-Ars, Koen Bertels (2021), QuASeR: Quantum Accelerated de novo DNA sequence reconstruction, In PLoS ONE Volume 16.