76 citations · 153 across the 14 of their papers we have counts for
16 papers
Architectures for Quantum Information Processing
Suryansh Upadhyay, Mahabubul Alam, Swaroop Ghosh
Quantum computing is changing the way we think about computing. Significant strides in research and development for managing and harnessing the power of quantum systems has been ma…
Knowledge Distillation in Quantum Neural Network using Approximate Synthesis
Mahabubul Alam, Satwik Kundu, Swaroop Ghosh
Recent assertions of a potential advantage of Quantum Neural Network (QNN) for specific Machine Learning (ML) tasks have sparked the curiosity of a sizable number of application re…
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…
DeepQMLP: A Scalable Quantum-Classical Hybrid DeepNeural Network Architecture for Classification
Mahabubul Alam, Swaroop Ghosh
Quantum machine learning (QML) is promising for potential speedups and improvements in conventional machine learning (ML) tasks (e.g., classification/regression). The search for id…
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…
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…
MUQUT: Multi-Constraint Quantum Circuit Mapping on Noisy Intermediate-Scale Quantum Computers
Debjyoti Bhattacharjee, Abdullah Ash Saki, Mahabubul Alam +2
Rapid advancement in the domain of quantum technologies has opened up researchers to the real possibility of experimenting with quantum circuits and simulating small-scale quantum…
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…
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…