Conceptio › Archive › arXiv (All)
arXiv (All) open access

Comparing Classical and Quantum Machine Learning for Regression in High Energy Physics Collision Data

Mahmood, Tariq et al.
arXiv (All) · Papers
Open Source ↗Direct PDF ↓
high-energy-physics-experimenthigh-energy-physics-phenomenologyhigh-energy-physics-theorymachine-learningquantum-physics
The classification and regression of particle collision events constitute a persistent computational challenge in experimental high energy physics, where large volumes of simulated data must be processed with both speed and precision. This work carries out a systematic comparison of four classical m
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 784846
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive