8 papers
Quantum Gradient-Based Approach for Edge and Corner Detection Using Sobel Kernels
Mohammad Aamir Sohail, Gabriela Pinheiro, Yasemin Poyraz Kocak +4
Edge detection refers to identifying points in a digital image where intensity changes sharply, indicating object boundaries or structural features. Corners are locations where gra…
Geo-ADAPT-VQE: Quantum Information Metric-Aware Circuit Optimization for Quantum Chemistry
Mohammad Aamir Sohail, Toshiaki Koike-Akino
Adaptive ansatz construction has emerged as a powerful technique for reducing circuit depth and improving optimization efficiency in variational quantum eigensolvers. However, exis…
Quantum Hamiltonian-Based Generative Modeling of Single-Cell Transcriptomics for Gene Regulatory Network Inference
Mohammad Aamir Sohail, Ranga R. Sudharshan, S. Sandeep Pradhan +1
We introduce a novel quantum Hamiltonian-based gene expression model (QHGM), a generative framework for modeling pseudotime-ordered single-cell gene expression data. In QHGM, gene…
QubitLens: An Interactive Learning Tool for Quantum State Tomography
Mohammad Aamir Sohail, Ranga Sudharshan, S. Sandeep Pradhan +1
Quantum state tomography is a fundamental task in quantum computing, involving the reconstruction of an unknown quantum state from measurement outcomes. Although essential, it is t…
When Wyner and Ziv Met Bayes in Quantum-Classical Realm
Mohammad Aamir Sohail, Touheed Anwar Atif, S. Sandeep Pradhan
In this work, we address the lossy quantum-classical source coding with the quantum side-information (QC-QSI) problem. The task is to compress the classical information about a qua…
Quantum Natural Stochastic Pairwise Coordinate Descent
Mohammad Aamir Sohail, Mohsen Heidari, S. Sandeep Pradhan
Variational quantum algorithms, optimized using gradient-based methods, often exhibit sub-optimal convergence performance due to their dependence on Euclidean geometry. Quantum nat…
Lossy Quantum Source Coding with a Global Error Criterion based on a Posterior Reference Map
Touheed Anwar Atif, Mohammad Aamir Sohail, S. Sandeep Pradhan
We consider the lossy quantum source coding problem where the task is to compress a given quantum source below its von Neumann entropy. Inspired by the duality connections between…
Unified approach for computing sum of sources over CQ-MAC
Mohammad Aamir Sohail, Touheed Anwar Atif, S. Sandeep Pradhan +1
We consider the task of communicating a generic bivariate function of two classical sources over a Classical-Quantum Multiple Access Channel (CQ-MAC). The two sources are observed…