80 citations
- Subhashish Banerjee4 profiles33 · h 6
- Subhashis Banerjee22 · h 39
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- Homi Bhabha National InstituteIN8 papers
- Poornaprajna Institute of Scientific ResearchIN8 papers
- Horia Hulubei National Institute for R and D in Physics and Nuclear EngineeringRO6 papers
- Indian Institute of Science BangaloreIN6 papers
- Indian Institute of Technology MadrasIN6 papers
- Institute of Mathematical SciencesIN6 papers
- Tata Institute of Fundamental ResearchIN6 papers
- Heinrich Heine University DüsseldorfDE5 papers
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- Istituto Nazionale di Fisica Nucleare, Sezione di PisaIT5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
218 papers
Hardware-Efficient Error Mitigation and Shot-Efficient Sampling on IBM Quantum Hardware
Sumit Chongder
We experimentally study error mitigation and finite-shot sampling on superconducting quantum hardware under a constrained execution budget. The study combines calibration-aware qub…
Harnessing LLMs for Reliable Academic Supervision: A Comparative Study
Akash Raj
Large language models routinely produce fluent answers to single-shot prompts, yet deploying them as reliable components of a domain decision system is substantially harder. Closin…
AdversaBench: Automated LLM Red-Teaming with Multi-Judge Confirmation and Cross-Model Transferability
Khanak Khandelwal
Scaling adversarial evaluation of large language models requires both a method for generating hard inputs and a reliable way to confirm that resulting failures are real. We present…
Hardware-aware Low-latency Quantum Compilation with Data-driven Lightweight Error Detection for Early Fault-Tolerant Systems
Sumit Chongder
Noisy intermediate-scale quantum (NISQ) processors are entering an early fault-tolerance regime where full quantum error correction carries prohibitive resource costs, yet lightwei…
Subarray based Wideband Beamforming and Variational Sparse CSI Estimation for Low-Resolution MU THz MIMO Systems
Abhisha Garg, Suraj Srivastava, Akash Kumar +1
This work conceives a unified channel estimation and beamforming framework, formulated within the principles of variational Bayesian inference. Recognizing the limitations imposed…
Multi-Snapshot Deep Denoising for Channel Estimation in OTFS Modulated Systems
Surbhi Gehlot, Siddhi Shinde, Suraj Srivastava +1
A deep denoising based channel estimation framework is proposed for orthogonal time frequency space (OTFS) modulated systems, wherein channel state information (CSI) recovery is fo…