5k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Birla Institute of Technology and Science, PilaniIN126 papers
- Homi Bhabha National InstituteIN13 papers
- Saha Institute of Nuclear PhysicsIN11 papers
- GLA UniversityIN10 papers
- Centre National de la Recherche ScientifiqueFR8 papers
- University of CoimbraPT8 papers
- Charotar University of Science and TechnologyIN7 papers
- Indian Institute of Science BangaloreIN7 papers
- Indian Institute of Science Education and Research KolkataIN7 papers
- Indian Institute of AstrophysicsIN5 papers
- Massachusetts Institute of TechnologyUS5 papers
- Microsoft Research (India)IN5 papers
14 papers · 1 filter
A Sharp Geometric Measure of Entanglement
Dharmaraj Ramachandran, Radhika Vathsan
Despite their elegance and widespread use, the current Geometric Measures (GMs) of entanglement exhibit a significant limitation: they fail to effectively distinguish Local Unitary…
Robust entanglement measure for mixed quantum states
Dharmaraj Ramachandran, Aditya Dubey, Subrahmanyam S. G. Mantha +1
We introduce an entanglement measure, the Modified Bloch Norm (MBN), for finite-dimensional bipartite mixed states, based on the improved Bloch matrix criteria. MBN is demonstrated…
On a Non-Uniform -Robust IMEX-L1 Mixed FEM for Time-Fractional PIDEs
Lok Pati Tripathi, Aditi Tomar, Amiya K. Pani
A non-uniform implicit-explicit L1 mixed finite element method (IMEX-L1-MFEM) is investigated for a class of time-fractional partial integro-differential equations (PIDEs) with spa…
Probing quantum anomalous heat flow using mid-circuit measurements
Aabhaas Vineet Mallik, Loris Maria Cangemi, Amikam Levy +1
Gate-based quantum computers are an innovative tool for experimentally studying the core principles of quantum mechanics. This work presents the first observation of quantum anomal…
FlashHack: Reflections on the Usage of a Micro Hackathon as an Assessment Tool in a Machine Learning Course
R Indra, PD Parthasarathy, Jatin Ambasana +1
Machine learning (ML) course for undergraduates face challenges in assessing student learning and providing practical exposure. Group project-based learning, an increasingly popula…
Constructing Viable Interacting Dark Matter and Dark Energy Models: A Dynamical Systems Approach
Ashmita, Kinjal Banerjee, Prasanta Kumar Das
We study the evolution of FLRW cosmological models for two interacting Dark Matter-Dark Energy Models using dynamical system analysis. Since we are interested in late time e…
ESIGMAHM: An Eccentric, Spinning inspiral-merger-ringdown waveform model with Higher Modes for the detection and characterization of binary black holes
Kaushik Paul, Akash Maurya, Quentin Henry +5
We present a time-domain inspiral-merger-ringdowm (IMR) waveform model ESIGMAHM constructed within a framework we named ESIGMA for coalescing binaries of spinning black holes on mo…
Influence of Personality Traits on Plagiarism Through Collusion in Programming Assignments
Parthasarathy PD, Ishaan Kapoor, Swaroop Joshi +1
Educating students about academic integrity expectations has been suggested as one of the ways to reduce malpractice in take-home programming assignments. We test this hypothesis u…
Teaching Digital Accessibility in Computing Education: Views of Educators in India
Parthasarathy, Swaroop
In recent years, there has been rising interest from both governments and private industry in developing software that is accessible to all, including people with disabilities. How…
An Extreme Ultra-Compact X-ray Binary in a Globular Cluster: Multi-Wavelength Observations of RZ2109 Explored in a Triple System Framework
Kristen C. Dage, Arash Bahramian, Smadar Naoz +6
The globular cluster ultraluminous X-ray source, RZ2109, is a complex and unique system which has been detected at X-ray, ultra-violet, and optical wavelengths. Based on almost 20…
Algebraicity of ratios of special -values for
Ankit Rai, Gunja Sachdeva
We prove, under certain assumptions, algebraicity of the ratio , where is a cuspidal automorphic cohomological unitary representation of $\mat…
Language Modeling on a SpiNNaker 2 Neuromorphic Chip
Khaleelulla Khan Nazeer, Mark Schöne, Rishav Mukherji +4
As large language models continue to scale in size rapidly, so too does the computational power required to run them. Event-based networks on neuromorphic devices offer a potential…
Continuous Time Continuous Space Homeostatic Reinforcement Learning (CTCS-HRRL) : Towards Biological Self-Autonomous Agent
Hugo Laurencon, Yesoda Bhargava, Riddhi Zantye +4
Homeostasis is a biological process by which living beings maintain their internal balance. Previous research suggests that homeostasis is a learned behaviour. Recently introduced…
Towards Uncovering Dark Matter Effects on Neutron Star Properties: A Machine Learning Approach
Prashant Thakur, Tuhin Malik, T. K. Jha
In recent years, researchers have become increasingly interested in understanding how dark matter affects neutron stars, helping them to better understand complex astrophysical phe…