35 citations · 132 across the 32 of their papers we have counts for
10 papers · 1 filter
A Reference-less Slope Detection Technique in 65nm for Robust Sensing of 1T1R Arrays
Seyedhamidreza Motaman, Swaroop Ghosh, Jae-Won Jang +3
Spin-Torque-Transfer RAM (STTRAM) is a promising technology however process variation poses serious challenge to sensing. To eliminate bit-to-bit process variation we propose a ref…
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…
Quantum Generative Models for Small Molecule Drug Discovery
Junde Li, Rasit Topaloglu, Swaroop Ghosh
Existing drug discovery pipelines take 5-10 years and cost billions of dollars. Computational approaches aim to sample from regions of the whole molecular and solid-state compounds…
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…