Quick Navigation

Topics

Quantum Machine Learning Quantum Simulation

Developing an Interactive Tutorial on a Quantum Eraser

arXiv
Authors: Emily Marshman, Chandralekha Singh

Year

2015

Paper ID

26867

Status

Preprint

Abstract Read

~2 min

Abstract Words

99

Citations

N/A

Abstract

We are developing a quantum interactive learning tutorial (QuILT) on a quantum eraser for students in upperlevel quantum mechanics. The QuILT exposes students to contemporary topics in quantum mechanics and uses a guided approach to learning. It adapts existing visualization tools to help students build physical intuition about quantum phenomena and strives to help them develop the ability to apply quantum principles in physical situations. The quantum eraser apparatus in the gedanken (thought) experiments and simulations that students learn from in the QuILT uses a MachZehnder Interferometer with single photons. We also discuss findings from a preliminary in-class evaluation.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2015 reference point for readers tracking recent quantum research.
  • We are developing a quantum interactive learning tutorial (QuILT) on a quantum eraser for students in upperlevel quantum mechanics.

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

References & Citation Signals

Local Citation Graph (Related-Paper Links)

Current Paper #26867 #69034 Hardware-aware Low-latency Quan... #69003 QBugLM: An Agentic Benchmarking... #68993 Tomography of quantum states wi... #68978 Repair Before Veto, When Repair...

External citation index: OpenAlex citation signal

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.