Beyond the HOM dip: a multi-metric module for teaching two-mode quantum optical interference

Abstract The Hong-Ou-Mandel (HOM) effect is often introduced through a single benchmark: coincidence suppression for |1⟩ ⊗ |1⟩ at a balanced beam splitter. We present a classroom-oriented instructional module that broadens this treatment by comparing three output metrics-on/off coincidence probability P c , cross-correlation g (2) 12 , and noise-reduction factor NRF-across four input families: Fock, superposition, coherent, and squeezed light. The module targets three instructional challenges in upper-division quantum optics: treating interference quality as a single observable, weakly connecting quantum-classical distinctions to output statistics, and limiting transfer from two-mode HOM reasoning to broader photonic benchmarking questions. A common beam-splitter sweep shows that different metrics probe different statistical properties of the same output state and can therefore support different source choices depending on the physical objective. The module combines a Jupyter/QuTiP simulator, guided activities, specification-style summary tables, and a grading rubric for use in a single upper-division or early graduate class meeting.

Authors

Institutions

Publication Details

Journal
European Journal of Physics
Published
2026-11-03
DOI
https://doi.org/10.1088/1361-6404/aebd26
Primary Topic
Science Education and Pedagogy
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Beyond the HOM dip: a multi-metric module for teaching two-mode quantum optical interference

Boris Kiefer, Melissa Coronado Arrieta
2 links
European Journal of Physics
Science Education and Pedagogy
article

Beyond the HOM dip: a multi-metric module for teaching two-mode quantum optical interference

Boris Kiefer, Melissa Coronado Arrieta
article en

Abstract

Abstract The Hong-Ou-Mandel (HOM) effect is often introduced through a single benchmark: coincidence suppression for |1⟩ ⊗ |1⟩ at a balanced beam splitter. We present a classroom-oriented instructional module that broadens this treatment by comparing three output metrics-on/off coincidence probability P c , cross-correlation g (2) 12 , and noise-reduction factor NRF-across four input families: Fock, superposition, coherent, and squeezed light. The module targets three instructional challenges in upper-division quantum optics: treating interference quality as a single observable, weakly connecting quantum-classical distinctions to output statistics, and limiting transfer from two-mode HOM reasoning to broader photonic benchmarking questions. A common beam-splitter sweep shows that different metrics probe different statistical properties of the same output state and can therefore support different source choices depending on the physical objective. The module combines a Jupyter/QuTiP simulator, guided activities, specification-style summary tables, and a grading rubric for use in a single upper-division or early graduate class meeting.

European Journal of Physics
New Mexico State University (US)
National Science Foundation
Openalex Percentile: Top 74%
Science Education and Pedagogy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon