6 citations · 7 across the 6 of their papers we have counts for
6 papers
Hamiltonian-Guided Leverage Embedding: Robust Subspace Compression for Efficient QAOA Parameter Estimation
Sumanta Mukherjee, Kalyan Dasgupta, Surya Shravan Kumar Sajja +5
Every Ising energy is a known linear function of measured spin features, yet the standard QAOA estimator discards this structure. We introduce Hamiltonian-Guided Leverage Embedding…
Quantum Variational Approaches to the Maximum Independent Set Problem at Utility Scale
Kalyan Dasgupta, Sumanta Mukherjee, Dhriti Verma +4
Near-optimal solutions to Maximum Independent Set on dense graphs sit in local optima that greedy correction and maximality extension cannot escape. We encode near-optimal seeds as…
Accelerating De Novo Genome Assembly via Quantum-Assisted Graph Optimization with Bitstring Recovery
Jaya Vasavi Pamidimukkala, Himanshu Sahu, Ashwini Kannan +3
Genome sequencing is essential to decode genetic information, identify organisms, understand diseases and advance personalized medicine. A critical step in any genome sequencing te…
Capturing Protein Free Energy Landscape using Efficient Quantum Encoding
Ashwini Kannan, Jaya Vasavi Pamidimukkala, Avinash Dakshinamoorthy +3
Protein folding is one of the age-old biological problems that refers to the mechanism of understanding and predicting how a protein's linear sequence of amino acids folds into its…
Encoding lattice structures in Quantum Computational Basis States
Kalyan Dasgupta
Lattice models or structures are geometrical objects with mathematical forms, that are used to represent physical systems. They have been used widely in diverse fields, namely, in…
An approach to solve the coarse-grained Protein folding problem in a Quantum Computer
Jaya Vasavi P, Soham Bopardikar, Avinash D +3
Protein folding, which dictates the protein structure from its amino acid sequence, is half a century old problem of biology. The function of the protein correlates with its struct…