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Narges Alavisamani

I am a Ph.D. student at the School of Computer Science at Georgia Tech, where I am fortunate to be advised by Moinuddin Qureshi and Matthieu Bloch. My research interests lie in designing software and architecture for reliable and scalable quantum computers. I earned my M.Sc. in Computer Science at Université Paris Diderot joint with École Normale Supérieure and École Polytechnique, Paris, France. Before that, I completed my B.Sc. in Computer Engineering at the University of Tehran, Tehran, Iran.

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Publications

• Narges Alavisamani, Suhas Vittal, Ramin Ayanzadeh, Poulami Das, Moinuddin Qureshi, Promatch: Extending the Reach of Real-Time Quantum Error Correction with Adaptive Predecoding, International Conference on Architectural Support for Programming Languages and Operating Systems(ASPLOS), 2024.
• Ramin Ayanzadeh, Ahmad Mousavi, Narges Alavisamani, Moinuddin Qureshi, Enigma: Privacy-Preserving Execution of QAOA on Untrusted Quantum Computers. arXiv preprint arXiv:2311.13546 (2023).
• Sashwat Anagolum, Narges Alavisamani, Poulami Das, Moinuddin Qureshi, Yunong Shi, Élivágar: Efficient Quantum Circuit Search for Classification, International Conference on Architectural Support for Programming Languages and Operating Systems(ASPLOS), 2024.
• Ramin Ayanzadeh, Narges Alavisamani, Poulami Das, Moinuddin Qureshi, FrozenQubits: Boosting Fidelity of QAOA by Skipping Hotspot Nodes, International Conference on Architectural Support for Programming Languages and Operating Systems(ASPLOS), 2023.
• Narges Alavisamani, Hossein Aghababa, Application of Quantum Gradient Descent as a Learning Algorithm for Factorization Machines, Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018.
• Amirhossein Moshrefi, Narges Alavisamani, Hossein Aghababa, Knock Detection Improvement Applying Quantum Signal Processing Method in Automotive System, Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018.

Research Talks

• Promatch: Extending the Reach of Real-Time Quantum Error Correction with Adaptive Predecoding, Poster Presentation, Career Workshop for Inclusion and Diversity in Computer Architecture, MICRO 2024, Austin, US, Nov. 2024.
• Quantum Error Correction and Real-time Decoding, Guest Lecturer, School of Computer Science, University of Colorado Boulder, Boulder, US, Oct. 2024.
• Promatch: Extending the Reach of Real-Time Quantum Error Correction with Adaptive Predecoding, Real-time Decoding Workshop, QCE, Montreal, Canada, Sept. 2024.
• Promatch: Extending the Reach of Real-Time Quantum Error Correction with Adaptive Predecoding, ASPLOS 2024, San Diego, US, Nov. 2024.
• Predecoding for Real-Time Quantum Error Correction, Guest Lecturer, School of Computer Science, Georgia Tech, Atlanta, US, Nov. 2023.
• A Reinforcement-Learning-Based Framework for Designing Robust Quantum Circuit, Poster Presentation, Career Workshop for Inclusion and Diversity in Computer Architecture, MICRO 2022, Chicago, US, Oct. 2022.
• Adversarial Hybrid Quantum-Classical Neural Networks for Quantum Encryption, University of Edinburgh, Edinburgh, UK, July 2019.
• Application of Quantum Gradient Descent as a Learning Algorithm for Factorization Machines, Laboratoire d’Informatique de Paris 6 (LIP6), Sorbonne University, Paris, France, Oct. 2018.