8 papers
HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency
Tony Menzo, Alexander Roman, Sergei Gleyzer +5
Many theoretical and experimental workflows in high-energy-physics (HEP) stand to benefit from recent advances in transformer-based large language models (LLMs). While early applic…
A Quantum Algorithm for Model-Independent Searches for New Physics
Konstantin T. Matchev, Prasanth Shyamsundar, Jordan Smolinsky
We propose a novel quantum technique to search for unmodeled anomalies in multidimensional binned collider data. We propose associating an Ising lattice spin site with each bin, wi…
Comment on "An implementation of neural simulation-based inference for parameter estimation in ATLAS''
Prasanth Shyamsundar
The paper titled "An implementation of neural simulation-based inference for parameter estimation in ATLAS" by the ATLAS collaboration (arXiv:2412.01600v1 [hep-ex]) describes the i…
CV4Quantum: Reducing the Sampling Overhead in Probabilistic Error Cancellation Using Control Variates
Prasanth Shyamsundar, Wern Yeen Yeong
Quasiprobabilistic decompositions (QPDs) play a key role in maximizing the utility of near-term quantum hardware. For example, Probabilistic Error Cancellation (PEC) (an error miti…
A Demonstration of ARCANE Reweighting: Reducing the Sign Problem in the MC@NLO Generation of Events
Prasanth Shyamsundar
Negatively weighted events, which appear in the simulation of particle collisions, significantly increase the computational requirements of collider experiments. A new technique ca…
ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation
Prasanth Shyamsundar
Negatively weighted events, which appear in the Monte Carlo (MC) simulation of particle collisions, significantly increases the computational resource requirements of current and f…