15 citations · 33 across the 8 of their papers we have counts for
8 papers
Deciphering Accretion-Driven Starquakes in Recycled Millisecond Pulsars using Gravitational Waves
Sagnik Chatterjee, Kamal Krishna Nath, Ritam Mallick
Recycled millisecond pulsars are susceptible to starquakes as they are continuously accreting matter from their binary companion. A starquake happens when the rotational frequency…
Quantum Solutions to the Privacy vs. Utility Tradeoff
Sagnik Chatterjee, Vyacheslav Kungurtsev
In this work, we propose a novel architecture (and several variants thereof) based on quantum cryptographic primitives with provable privacy and security guarantees regarding membe…
Universal Relations For Generic Family Of Neutron Star Equations Of State
KamalKrishna Nath, Ritam Mallick, Sagnik Chatterjee
Universal relations are important in testing many theories of physics. In the case of general relativity, we have the celebrated no-hair theorem for black holes. Unfortunately, the…
Analyzing the speed of sound in neutron star with machine learning
Sagnik Chatterjee, Harsha Sudhakaran, Ritam Mallick
Matter properties at the intermediate densities are still unknown to us. In this work, we use a neural network approach to study matter at intermediate densities to analyze the var…
Efficient Quantum Agnostic Improper Learning of Decision Trees
Sagnik Chatterjee, Tharrmashastha SAPV, Debajyoti Bera
The agnostic setting is the hardest generalization of the PAC model since it is akin to learning with adversarial noise. In this paper, we give a poly$(n,t,{\frac{1}{\varepsilon}})…
General relativistic calculation of magnetic field and Power loss for a misaligned pulsar
Sagnik Chatterjee, Ritam Mallick
In this study, we model a pulsar as a general relativistic oblique rotator, where the oblique rotator is a rotationally deformed neutron star whose rotation and magnetic axis are i…
Quantum Boosting using Domain-Partitioning Hypotheses
Debajyoti Bera, Rohan Bhatia, Parmeet Singh Chani +1
Boosting is an ensemble learning method that converts a weak learner into a strong learner in the PAC learning framework. Freund and Schapire designed the Godel prize-winning algor…
Applying the Quantum Alternating Operator Ansatz to the Graph Matching Problem
Sagnik Chatterjee, Debajyoti Bera
The Quantum Alternating Operator Ansatz (QAOA+) framework has recently gained attention due to its ability to solve discrete optimization problems on noisy intermediate-scale quant…