35 citations · 74 across the 11 of their papers we have counts for
6 papers · 1 filter
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…
Accelerating Quantum Approximate Optimization Algorithm using Machine Learning
Mahabubul Alam, Abdullah Ash-Saki, Swaroop Ghosh
We propose a machine learning based approach to accelerate quantum approximate optimization algorithm (QAOA) implementation which is a promising quantum-classical hybrid algorithm…
Study of Decoherence in Quantum Computers: A Circuit-Design Perspective
Abdullah Ash Saki, Mahabubul Alam, Swaroop Ghosh
Decoherence of quantum states is a major hurdle towards scalable and reliable quantum computing. Lower decoherence (i.e., higher fidelity) can alleviate the error correction overhe…
Addressing Temporal Variations in Qubit Quality Metrics for Parameterized Quantum Circuits
Mahabubul Alam, Abdullah Ash-Saki, Swaroop Ghosh
The public access to noisy intermediate-scale quantum (NISQ) computers facilitated by IBM, Rigetti, D-Wave, etc., has propelled the development of quantum applications that may off…