76 citations · 153 across the 14 of their papers we have counts for
6 papers · 1 filter
Quantum-Classical Hybrid Machine Learning for Image Classification (ICCAD Special Session Paper)
Mahabubul Alam, Satwik Kundu, Rasit Onur Topaloglu +1
Image classification is a major application domain for conventional deep learning (DL). Quantum machine learning (QML) has the potential to revolutionize image classification. In a…
A Survey and Tutorial on Security and Resilience of Quantum Computing
Abdullah Ash Saki, Mahabubul Alam, Koustubh Phalak +3
Present-day quantum computers suffer from various noises or errors such as gate error, relaxation, dephasing, readout error, and crosstalk. Besides, they offer a limited number of…
Quantum PUF for Security and Trust in Quantum Computing
Koustubh Phalak, Abdullah Ash-Saki, Mahabubul Alam +2
Quantum computing is a promising paradigm to solve computationally intractable problems. Various companies such as, IBM, Rigetti and D-Wave offer quantum computers using a cloud-ba…
A Quantum Circuit Obfuscation Methodology for Security and Privacy
Aakarshitha Suresh, Abdullah Ash Saki, Mahabubul Alam +2
Optimization of quantum circuits using an efficient compiler is key to its success for NISQ computers. Several 3rd party compilers are evolving to offer improved performance for la…
Drug Discovery Approaches using Quantum Machine Learning
Junde Li, Mahabubul Alam, Congzhou M Sha +3
Traditional drug discovery pipeline takes several years and cost billions of dollars. Deep generative and predictive models are widely adopted to assist in drug development. Classi…
Large-scale Quantum Approximate Optimization via Divide-and-Conquer
Junde Li, Mahabubul Alam, Swaroop Ghosh
Quantum Approximate Optimization Algorithm (QAOA) is a promising hybrid quantum-classical algorithm for solving combinatorial optimization problems. However, it cannot overcome qub…