2 citations · 4 across the 9 of their papers we have counts for
10 papers
Stability of plethysm coefficients and modified polynomial induction
Soumyadip Sarkar
Let denote the complete homogeneous symmetric function of degree , the Schur function indexed by a partition , and the Hall inner prod…
Structured Proper Loss Geometries for Multiclass Classification: Theory and Controlled Empirical Evaluation
Soumyadip Sarkar
Strictly proper scoring rules identify the true conditional class distribution at population level, but their curvature can alter optimization and finite-sample behavior. We study…
QuPort: Topology-, Port-, and Congestion-Aware Compilation for Modular Multi-QPU Quantum Systems
Soumyadip Sarkar, Subhasree Bhattacharjee
Modular quantum processors require a compiler to reason about two resources at the same time: local device connectivity and communication across QPUs. A mapping that is acceptable…
QBalance: A Reproducible Multi-Objective Workflow for Quantum Compilation, Noise Suppression, and Error-Mitigation Strategy Selection
Soumyadip Sarkar
Near-term quantum workloads are shaped by coupled compilation and execution choices: qubit layout, routing, basis translation, gate suppression, measurement mitigation, shot budget…
Dissipative continuation for ground-state preparation at chemical transition states
Thomas W. Watts, Soumya Sarkar, Daniel Collins +4
Simulating chemical reactions exhibits a pronounced unevenness in computational difficulty: while equilibrium reactant and product geometries are often tractable, transition-state…
MiniTensor: A Lightweight, High-Performance Tensor Operations Library
Soumyadip Sarkar
We present MiniTensor, an open source tensor operations library that focuses on minimalism, correctness, and performance. MiniTensor exposes a familiar PyTorch-like Python API whil…
Physics-Informed Neural Networks for One-Dimensional Quantum Well Problems
Soumyadip Sarkar
We implement physics-informed neural networks (PINNs) to solve the time-independent Schrödinger equation for three canonical one-dimensional quantum potentials: an infinite square…
Quantum Transfer Learning for MNIST Classification Using a Hybrid Quantum-Classical Approach
Soumyadip Sarkar
We implement a hybrid quantum-classical model for image classification that compresses MNIST digit images into a low-dimensional feature space and then maps these features onto a 5…
Enhancing Quantum Variational Algorithms with Zero Noise Extrapolation via Neural Networks
Subhasree Bhattacharjee, Soumyadip Sarkar, Kunal Das +1
In the emergent realm of quantum computing, the Variational Quantum Eigensolver (VQE) stands out as a promising algorithm for solving complex quantum problems, especially in the no…
Harnessing Deep Q-Learning for Enhanced Statistical Arbitrage in High-Frequency Trading: A Comprehensive Exploration
Soumyadip Sarkar
The realm of High-Frequency Trading (HFT) is characterized by rapid decision-making processes that capitalize on fleeting market inefficiencies. As the financial markets become inc…