activity
20172023
most citedAtomic cross-chain exchanges of shared assets

31 citations · 61 across the 9 of their papers we have counts for

collaborators

9 papers

quant-ph2023

Learning hard distributions with quantum-enhanced Variational Autoencoders

Anantha Rao, Dhiraj Madan, Anupama Ray +2

An important task in quantum generative machine learning is to model the probability distribution of measurements of many-body quantum systems. Classical generative models, such as…

quant-ph2022

Classical ensemble of Quantum-classical ML algorithms for Phishing detection in Ethereum transaction networks

Anupama Ray, Sai Sakunthala Guddanti, Vishnu Ajith +1

Ethereum is one of the most valuable blockchain networks in terms of the total monetary value locked in it, and arguably been the most active network where new blockchain innovatio…

cs.IT2022★ 1 cited

Efficient Syndrome Decoder for Heavy Hexagonal QECC via Machine Learning

Debasmita Bhoumik, Ritajit Majumdar, Dhiraj Madan +3

Error syndromes for heavy hexagonal code and other topological codes such as surface code have typically been decoded by using Minimum Weight Perfect Matching (MWPM) based methods.…

cs.CR2022★ 31 cited

Atomic cross-chain exchanges of shared assets

Krishnasuri Narayanam, Venkatraman Ramakrishna, Dhinakaran Vinayagamurthy +1

A core enabler for blockchain or DLT interoperability is the ability to atomically exchange assets held by mutually untrusting owners on different ledgers. This atomic swap problem…

cs.CR2021

Privacy-Preserving Decentralized Exchange Marketplaces

Kavya Govindarajan, Dhinakaran Vinayagamurthy, Praveen Jayachandran +1

Decentralized exchange markets leveraging blockchain have been proposed recently to provide open and equal access to traders, improve transparency and reduce systemic risk of centr…

quant-ph2021

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…

quant-ph2021★ 20 cited

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…

cs.CR2021★ 1 cited

Trusted Data Notifications from Private Blockchains

Dushyant Behl, Palanivel Kodeswaran, Venkatraman Ramakrishna +2

Private blockchain networks are used by enterprises to manage decentralized processes without trusted mediators and without exposing their assets publicly on an open network like E…

cs.CR2017★ 8 cited

StealthDB: a Scalable Encrypted Database with Full SQL Query Support

Alexey Gribov, Dhinakaran Vinayagamurthy, Sergey Gorbunov

Encrypted database systems provide a great method for protecting sensitive data in untrusted infrastructures. These systems are built using either special-purpose cryptographic alg…