collaborators

7 papers

hep-ph2026

Entropy from inclusive scattering

M. A. Braun

Introduction of probabilities from multiple inclusive cross-sections is studied in the unitary pomeron exchange models with no interaction between the pomerons themselves. Discrepa…

quant-ph2026

How Many Shots Does It Take? A Noise-Aware Quantum Resource Allocation Framework

Prateek P. Kulkarni, Sumit K. Mandal

Any algorithm execution on quantum computers requires several repeated and costly executions (known as shots) to obtain reliable results. In this work, we propose a closed-form acc…

quant-ph2026

Quantum Algorithms for Approximate Graph Isomorphism Testing

Prateek P. Kulkarni

The graph isomorphism problem asks whether two graphs are identical up to vertex relabeling. While the exact problem admits quasi-polynomial-time classical algorithms, many applica…

quant-ph2026

One Key Good, L Keys Better: List Decoding Meets Quantum Privacy Amplification

Prateek P. Kulkarni

We introduce list privacy amplification (LPA), a relaxation of the final step of quantum key distribution (QKD) in which Alice and Bob extract a list of candidate keys from a r…

quant-ph2026

Entanglement-Dependent Error Bounds for Hamiltonian Simulation

Prateek P. Kulkarni

We establish tight connections between entanglement entropy and the approximation error in Trotter-Suzuki product formulas for Hamiltonian simulation. Product formulas remain the w…

cs.LG2025

Bhargava Cube--Inspired Quadratic Regularization for Structured Neural Embeddings

S Sairam, Prateek P Kulkarni

We present a novel approach to neural representation learning that incorporates algebraic constraints inspired by Bhargava cubes from number theory. Traditional deep learning metho…