activity
20042026
most citedTowards Efficiently Solving Quantum Traveling Salesman Problem

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

math.CO2026

Energy Estimation of the Hamming Slice and its Applications

Aniruddha Biswas, Jihun Hwang, Hemanta K. Maji +2

Let , where , and let be the residues whose canonical -digit binary expansion has Hamming weight . We obtain, in par…

math.CO2026

Solving polynomial inequalities over spaces of convex sets and applications

Saugata Basu, Hamidreza Amini Khorasgani, Hemanta K. Maji +1

We develop a symbolic elimination theory for finite systems of recursive containment inequalities whose unknowns are convex subsets of a finite-dimensional real vector space. The r…

cs.DC2024

GreedyML: A Parallel Algorithm for Maximizing Constrained Submodular Functions

Shivaram Gopal, S M Ferdous, Hemanta K. Maji +1

We describe a parallel approximation algorithm for maximizing monotone submodular functions subject to hereditary constraints on distributed memory multiprocessors. Our work is mot…

cs.DM2019

Estimating Gaps in Martingales and Applications to Coin-Tossing: Constructions and Hardness

Hamidreza Amini Khorasgani, Hemanta K. Maji, Tamalika Mukherjee

Consider designing a distributed coin-tossing protocol for n processors such that the probability of heads is X0 in [0,1], and an adversary can reset one processor to change the di…

cs.CR2012

Limits of Random Oracles in Secure Computation

Mohammad Mahmoody, Hemanta K. Maji, Manoj Prabhakaran

The seminal result of Impagliazzo and Rudich (STOC 1989) gave a black-box separation between one-way functions and public-key encryption: informally, a public-key encryption scheme…

quant-ph2004★ 1 cited

Towards Efficiently Solving Quantum Traveling Salesman Problem

Debabrata Goswami, Harish Karnick, Prateek Jain +1

We present a framework for efficiently solving Approximate Traveling Salesman Problem (Approximate TSP) for Quantum Computing Models. Existing representations of TSP introduce extr…