49 citations · 191 across the 35 of their papers we have counts for
6 papers · 1 filter
FuCE: Fuzzing+Concolic Execution guided Trojan Detection in Synthesizable Hardware Designs
Mukta Debnath, Animesh Basak Chowdhury, Debasri Saha +1
High-level synthesis (HLS) is the next emerging trend for designing complex customized architectures for applications such as Machine Learning, Video Processing. It provides a high…
Efficient Decoding of Surface Code Syndromes for Error Correction in Quantum Computing
Debasmita Bhoumik, Pinaki Sen, Ritajit Majumdar +3
Errors in surface code have typically been decoded by Minimum Weight Perfect Matching (MWPM) based method. Recently, neural-network-based Machine Learning (ML) techniques have been…
Depth Optimized Ansatz Circuit in QAOA for Max-Cut
Ritajit Majumdar, Debasmita Bhoumik, Dhiraj Madan +3
While a Quantum Approximate Optimization Algorithm (QAOA) is intended to provide a quantum advantage in finding approximate solutions to combinatorial optimization problems, noise…
-QER: An Intelligent Approach towards Quantum Error Reduction
Saikat Basu, Amit Saha, Amlan Chakrabarti +1
Quantum computing has become a promising computing approach because of its capability to solve certain problems, exponentially faster than classical computers. A -qubit quantum…
Faster Search of Clustered Marked States with Lackadaisical Quantum Walks
Amit Saha, Ritajit Majumdar, Debasri Saha +2
The nature of discrete-time quantum walk in the presence of multiple marked states has been studied by Nahimovs and Rivosh. They introduced an exceptional configuration of clustere…
Optimizing Ansatz Design in QAOA for Max-cut
Ritajit Majumdar, Dhiraj Madan, Debasmita Bhoumik +3
Quantum Approximate Optimization Algorithm (QAOA) is studied primarily to find approximate solutions to combinatorial optimization problems. For a graph with vertices and e…