Author: ssaeed-wp24
-
CAD-Base: An Attack Vector into the Electronics Supply Chain
j12. Kanad Basu, Samah Mohamed Saeed, Pilato Christian, Mohammad Ashraf, Mohammad Thari Nabeel, Krishnendu Chakrabarty, and Ramesh Karri, “CAD-Base: An Attack Vector into the Electronics Supply Chain,” ACM Transactions on Design Automation of Electronic Systems (TODAES). vol. 24, no. 38, pp.4, 2019.
-
Survey on Quantum Circuit Compilation for Noisy Intermediate-Scale Quantum Computers: Artificial Intelligence to Heuristics
j13. Janusz Kusyk, Samah Mohamed Saeed and Muharrem Umit Uyar, “Survey on Quantum Circuit Compilation for Noisy Intermediate-Scale Quantum Computers: Artificial Intelligence to Heuristics,” IEEE Transactions on Quantum Engineering, vol. 2, pp. 1-16, 2021, Art no. 2501616, doi: 10.1109/TQE.2021.3068355.
-
Test Points for Online Monitoring of Quantum Circuits
j14. Nikita Acharya, Miroslav Urbanek, Wibe A. de Jong, Samah Mohamed Saeed, “Test Points for Online Monitoring of Quantum Circuits,” ACM Journal on Emerging Technologies in Computing (JETC), 2021.
-
Pauli Error Propagation-Based Gate Rescheduling for Quantum Circuit Error Mitigation
j15. Vedika Saravanan and Samah Mohamed Saeed, “Pauli Error Propagation-Based Gate Rescheduling for Quantum Circuit Error Mitigation,” in IEEE Transactions on Quantum Engineering, vol. 3, pp. 1-11, 2022, Art no. 2500111, doi: 10.1109/TQE.2022.3161197.
-
Probing Geometric Excitations of Fractional Quantum Hall States on Quantum Computers
j16. 1. Ammar Kirmani, Kieran Bull, Chang-Yu Hou, Vedika Saravanan, Samah Mohamed Saeed, Zlatko Papić, Armin Rahmani, and Pouyan Ghaemi, “Probing Geometric Excitations of Fractional Quantum Hall States on Quantum Computers,” Phys. Rev. Lett., vol. 129, no. 5, p. 056801, Jul. 2022, doi: 10.1103/PhysRevLett.129.056801.
-
Data-Driven Reliability Models of Quantum Circuit: From Traditional ML to Graph Neural Network
j17. Vedika Saravanan and Samah Mohamed Saeed, “Data-Driven Reliability Models of Quantum Circuit: From Traditional ML to Graph Neural Network,” in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022, doi: 10.1109/TCAD.2022.3202430.
-
Noise Adaptive Quantum Circuit Mapping Using Reinforcement Learning and Graph Neural Network
j18. Vedika Saravanan and Samah Mohamed Saeed, “Noise Adaptive Quantum Circuit Mapping Using Reinforcement Learning and Graph Neural Network,” in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, doi: 10.1109/TCAD.2023.3340608.
-
-
-
Christian Rasmussen
Christian Rasmussen is a third-year computer science student at the Grove School of Engineering and CUNY’s Macaulay Honors College. As an assistant researcher at SERS, he develops reliable methodologies for quantum circuit security and compilation for near-term quantum computing. Additional interests lie in machine learning, high-performance computing, scientific simulation, and advanced linear algebra.
-
Gopika Kizhuvettil
Gopika Kizhuvettil is a Ph.D. student in the electrical engineering department at Grove School of Engineering, City College of New York (CCNY), part of the City University of New York (CUNY). She earned her Master’s degree in Computer Engineering from the University of Houston-Clear Lake. Her research interests span across Quantum Computing, Artificial Intelligence, and…
-
Mohammad Walid Charrwi
Mohammad Walid Charrwi is a Ph.D. Alumni in Electrical Engineering at Grove School of Engineering, City College of New York (CCNY). During his time at SERS, he was a Research Assistant working on quantum compilation optimization for near-term quantum computing, enhancing fidelity spanning quantum computing and AI Accelerators (TPU) using Machine Learning. He also received…