35 citations · 72 across the 8 of their papers we have counts for
11 papers
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…
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…
Resiliency Analysis and Improvement of Variational Quantum Factoring in Superconducting Qubit
Ling Qiu, Mahabubul Alam, Abdullah Ash-Saki +1
Variational algorithm using Quantum Approximate Optimization Algorithm (QAOA) can solve the prime factorization problem in near-term noisy quantum computers. Conventional Variation…