Quick Navigation
Topics
Trapped Ion Quantum Computing
Quantum Foundations
Hong-Ou-Mandel interference of more than 10 indistinguishable atoms
arXiv
Authors: Martin Quensen, Mareike Hetzel, Luis Santos, Augusto Smerzi, G\'eza T\'oth, Luca Pezz\`e, Carsten Klempt
Year
2026
Paper ID
68467
Status
Preprint
Abstract Read
~2 min
Abstract Words
142
Citations
N/A
Abstract
When two indistinguishable bosons interfere at a beam splitter, they both exit through the same output port. This foundational quantum-mechanical phenomenon, known as the Hong-Ou-Mandel (HOM) effect, has become a cornerstone in the field of quantum information. It also extends to many indistinguishable particles, resulting in complex interference patterns. However, despite of its fundamental and applied interest, the many-particle effect has only been observed in notoriously lossy photonic systems, but a realization with atomic systems has remained elusive until now. Here, we demonstrate HOM interference with up to 12 indistinguishable neutral atoms in a system with negligible loss. Our single-particle counting clearly reveals parity oscillations, a bunching envelope and genuine multi-partite entanglement, defining features of the multi-particle HOM effect. Our technique offers the potential for scaling to much larger numbers, presenting promising applications in quantum information with indistinguishable particles and Heisenberg-limited atom interferometry.
Why This Paper Matters
- This paper contributes to the Quantum Foundations research area in the Quantum Articles archive.
- It adds a 2026 reference point for readers tracking recent quantum research.
- When two indistinguishable bosons interfere at a beam splitter, they both exit through the same output port.
Paper Tools
Become a member to use research tools
Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.
Show Paper arXiv Publisher Share
Cite This Paper
Copy URL
Compare
Copy DOI Add to Reading List
Category Correction Request
Category Correction Request
Help us improve classification quality by proposing a better category. Every request is reviewed by an admin.
Sign in to submit a category correction request for this paper.
Log In to SubmitReferences & Citation Signals
Community Reactions
Quick sentiment from readers on this paper.
Score:
0
Likes: 0
Dislikes: 0
Sign in to react to this paper.
Discussion & Reviews (Moderated)
Average Rating: 0.0 / 5 (0 ratings)
No written reviews yet.