35 citations · 55 across the 5 of their papers we have counts for
7 papers
Optimization of Quantum Read-Only Memory Circuits
Koustubh Phalak, Mahabubul Alam, Abdullah Ash-Saki +2
Quantum computing is a rapidly expanding field with applications ranging from optimization all the way to complex machine learning tasks. Quantum memories, while lacking in practic…
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…
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…
Analysis of Quantum Approximate Optimization Algorithm under Realistic Noise in Superconducting Qubits
Mahabubul Alam, Abdullah Ash-Saki, Swaroop Ghosh
The quantum approximate optimization algorithm (QAOA) is a promising quantum-classical hybrid technique to solve combinatorial optimization problems in near-term gate-based noisy q…
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…