Publications

2025

1. GLSVLSI

   Inverse-Transpilation: Reverse-Engineering Quantum Compiler Optimization Passes from Circuit Snapshots

   Satwik Kundu, and Swaroop Ghosh

   Proceedings of the 35th IEEE/ACM Great Lakes Symposium on VLSI (GLSVLSI), 2025

   arXiv Bib

   @article{kundu2025inverse,
     title = {Inverse-Transpilation: Reverse-Engineering Quantum Compiler Optimization Passes from Circuit Snapshots},
     author = {Kundu, Satwik and Ghosh, Swaroop},
     journal = {Proceedings of the 35th IEEE/ACM Great Lakes Symposium on VLSI (GLSVLSI)},
     year = {2025},
   }

2. GLSVLSI

   Adversarial Data Poisoning Attack on Quantum Machine Learning in the NISQ Era

   Satwik Kundu, and Swaroop Ghosh

   Proceedings of the 35th IEEE/ACM Great Lakes Symposium on VLSI (GLSVLSI), 2025

   arXiv Bib

   @article{kundu2024adversarial,
     title = {Adversarial Data Poisoning Attack on Quantum Machine Learning in the NISQ Era},
     author = {Kundu, Satwik and Ghosh, Swaroop},
     journal = {Proceedings of the 35th IEEE/ACM Great Lakes Symposium on VLSI (GLSVLSI)},
     year = {2025},
   }

3. HOST

   STIQ: Safeguarding Training and Inferencing of Quantum Neural Networks from Untrusted Cloud

   Satwik Kundu, and Swaroop Ghosh

   IEEE International Symposium on Hardware Oriented Security and Trust (HOST), 2025

   🏆 Best Paper Award 🏆

   arXiv Bib

   @article{kundu2024stiq,
     title = {STIQ: Safeguarding Training and Inferencing of Quantum Neural Networks from Untrusted Cloud},
     author = {Kundu, Satwik and Ghosh, Swaroop},
     journal = {IEEE International Symposium on Hardware Oriented Security and Trust (HOST)},
     year = {2025},
     note = {🏆 Best Paper Award 🏆}
   }

4. TQE

   DyPP: Dynamic Parameter Prediction to Accelerate Convergence of Variational Quantum Algorithms

   Satwik Kundu, Debarshi Kundu, and Swaroop Ghosh

   IEEE Transactions on Quantum Engineering, 2025

   In Review

   arXiv Bib

   @article{kundu2023wepro,
     title = {DyPP: Dynamic Parameter Prediction to Accelerate Convergence of Variational Quantum Algorithms},
     author = {Kundu, Satwik and Kundu, Debarshi and Ghosh, Swaroop},
     journal = {IEEE Transactions on Quantum Engineering},
     year = {2025},
     note = {In Review}
   }

2024

1. HASP

   Security Concerns in Quantum Machine Learning as a Service

   Satwik Kundu, and Swaroop Ghosh

   13th ACM International Workshop on Hardware and Architectural Support for Security and Privacy (HASP) @ MICRO, 2024

   URL arXiv Bib

   @article{kundu2024security,
     title = {Security Concerns in Quantum Machine Learning as a Service},
     author = {Kundu, Satwik and Ghosh, Swaroop},
     journal = {13th ACM International Workshop on Hardware and Architectural Support for Security and Privacy (HASP) @ MICRO},
     year = {2024},
     url = {https://dl.acm.org/doi/10.1145/3696843.3696846},
   }

2. GLSVLSI

   Evaluating Efficacy of Model Stealing Attacks and Defenses on Quantum Neural Networks

   Satwik Kundu, Debarshi Kundu, and Swaroop Ghosh

   In Proceedings of the 34th IEEE/ACM Great Lakes Symposium on VLSI (GLSVLSI), 2024

   URL arXiv Bib

   @inproceedings{kundu2024evaluating,
     title = {Evaluating Efficacy of Model Stealing Attacks and Defenses on Quantum Neural Networks},
     author = {Kundu, Satwik and Kundu, Debarshi and Ghosh, Swaroop},
     booktitle = {Proceedings of the 34th IEEE/ACM Great Lakes Symposium on VLSI (GLSVLSI)},
     pages = {556--559},
     year = {2024},
     organization = {IEEE/ACM},
     url = {https://dl.acm.org/doi/abs/10.1145/3649476.3658806},
   }

2023

1. ASP-DAC

   Knowledge Distillation in Quantum Neural Network Using Approximate Synthesis

   Mahabubul Alam, Satwik Kundu, and Swaroop Ghosh

   In Proceedings of the 28th IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), 2023

   URL Bib

   @inproceedings{alam2023knowledge,
     title = {Knowledge Distillation in Quantum Neural Network Using Approximate Synthesis},
     author = {Alam, Mahabubul and Kundu, Satwik and Ghosh, Swaroop},
     booktitle = {Proceedings of the 28th IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC)},
     pages = {639--644},
     year = {2023},
     url = {https://dl.acm.org/doi/abs/10.1145/3566097.3567877},
   }

2. JLPEA

   Exploring Topological Semi-Metals for Interconnects

   Satwik Kundu, Rupshali Roy, Saifur Rahman, Suryansh Upadhyay, and 4 more authors

   Journal of Low Power Electronics and Applications (JLPEA), 2023

   URL Bib

   @article{kundu2023exploring,
     title = {Exploring Topological Semi-Metals for Interconnects},
     author = {Kundu, Satwik and Roy, Rupshali and Rahman, Saifur and Upadhyay, Suryansh and Topaloglu, Rasit O and Mohney, Suzanne and Huang, Shengxi and Ghosh, Swaroop},
     journal = {Journal of Low Power Electronics and Applications (JLPEA)},
     year = {2023},
     url = {https://www.mdpi.com/2079-9268/13/1/16},
   }

2022

1. VTS

   On The Reliability of Conventional and Quantum Neural Network Hardware

   Mehdi Sadi, Yi He, Yanjing Li, Mahabubul Alam, and 4 more authors

   In Proceedings of the 40th IEEE VLSI Test Symposium (VTS), 2022

   URL Bib

   @inproceedings{sadi2022special,
     title = {On The Reliability of Conventional and Quantum Neural Network Hardware},
     author = {Sadi, Mehdi and He, Yi and Li, Yanjing and Alam, Mahabubul and Kundu, Satwik and Ghosh, Swaroop and Bahrami, Javad and Karimi, Naghmeh},
     booktitle = {Proceedings of the 40th IEEE VLSI Test Symposium (VTS)},
     pages = {1--12},
     year = {2022},
     organization = {IEEE},
     url = {https://ieeexplore.ieee.org/document/9794194},
   }

2. GLSVLSI

   Security Aspects of Quantum Machine Learning: Opportunities, Threats and Defenses

   Satwik Kundu, and Swaroop Ghosh

   In Proceedings of the 32nd IEEE/ACM Great Lakes Symposium on VLSI (GLSVLSI), 2022

   URL Bib

   @inproceedings{kundu2022security,
     title = {Security Aspects of Quantum Machine Learning: Opportunities, Threats and Defenses},
     author = {Kundu, Satwik and Ghosh, Swaroop},
     booktitle = {Proceedings of the 32nd IEEE/ACM Great Lakes Symposium on VLSI (GLSVLSI)},
     pages = {463--468},
     year = {2022},
     url = {https://dl.acm.org/doi/abs/10.1145/3526241.3530833},
   }

3. ICCAD

   Quantum Machine Learning For Material Synthesis and Hardware Security

   Collin Beaudoin*, Satwik Kundu*, Rasit Onur Topaloglu, and Swaroop Ghosh

   In Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2022

   URL Bib

   @inproceedings{beaudoin2022quantum,
     title = {Quantum Machine Learning For Material Synthesis and Hardware Security},
     author = {Beaudoin*, Collin and Kundu*, Satwik and Topaloglu, Rasit Onur and Ghosh, Swaroop},
     booktitle = {Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design (ICCAD)},
     pages = {1--7},
     year = {2022},
     url = {https://dl.acm.org/doi/abs/10.1145/3508352.3561115},
   }

2021

1. ICCAD

   Quantum-Classical Hybrid Machine Learning for Image Classification

   Mahabubul Alam, Satwik Kundu, Rasit Onur Topaloglu, and Swaroop Ghosh

   In Proceedings of the 40th IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2021

   URL arXiv Bib

   @inproceedings{alam2021quantum,
     title = {Quantum-Classical Hybrid Machine Learning for Image Classification},
     author = {Alam, Mahabubul and Kundu, Satwik and Topaloglu, Rasit Onur and Ghosh, Swaroop},
     booktitle = {Proceedings of the 40th IEEE/ACM International Conference On Computer Aided Design (ICCAD)},
     pages = {1--7},
     year = {2021},
     organization = {IEEE}
   }

2. Springer

   Spoken Language Identification of Indian Languages using MFCC Features

   Mainak Biswas, Saif Rahaman, Satwik Kundu, Pawan Kumar Singh, and 1 more author

   Machine Learning for Intelligent Multimedia Analytics: Techniques and Applications, 2021

   URL Bib

   @article{biswas2021spoken,
     title = {Spoken Language Identification of Indian Languages using MFCC Features},
     author = {Biswas, Mainak and Rahaman, Saif and Kundu, Satwik and Singh, Pawan Kumar and Sarkar, Ram},
     journal = {Machine Learning for Intelligent Multimedia Analytics: Techniques and Applications},
     year = {2021},
     publisher = {Springer},
     url = {https://link.springer.com/chapter/10.1007/978-981-15-9492-2_12},
   }