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Charles Tahan

dblp:73/1414 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Immersive interaction · 62% Learning and educational technologies · 38%
Theoretical computer science
1 paper
Quantum computing and quantum information · 100%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Learning and educational technologies
embodied learning
0.312026
Quantum Intuition XR: Tangible Quantum Mechanics using Interactive XR Experience · IEEE Trans. Vis. Comput. Graph. 2026
Learning and educational technologies
immersive learning
0.312026
Quantum Intuition XR: Tangible Quantum Mechanics using Interactive XR Experience · IEEE Trans. Vis. Comput. Graph. 2026

Methods — techniques the papers use, named apart from their topics

mixed reality · 2.0audiovisual feedback · 2.0
YearPublicationVenuePosition
2026 Quantum Intuition XR: Tangible Quantum Mechanics using Interactive XR Experience
abstract
Understanding quantum mechanics is inherently challenging due to its counterintuitive principles. Quantum Intuition XR is an interactive, extended reality (XR) experience designed to make quantum concepts tangible. Our system visualizes core principles of quantum computing, including qubits, superposition, entanglement, and measurement, through immersive interaction. Using a Mixed Reality headset, users engage with floating qubits, manipulate their states via controllers, and observe entanglement dynamics through real-time audiovisual feedback. A key feature of our implementation is the mathematically accurate and dynamic representation of qubits, both individually and while interacting with each other. The visualization of the qubit states evolve-rotate, shrink, grow, entangle-depending on their actual quantum states, which depend on variables such as proximity to other qubits and user interaction. Technical validation, along with preliminary demonstrations and feedback from quantum specialists, indicate that the system accurately represents quantum phenomena, suggesting strong potential to educate and enhance quantum intuition for non-expert audiences. A user study with non-experts further supports the system's accessibility and effectiveness in facilitating intuitive understanding of key quantum concepts. This approach bridges abstract quantum mechanics with embodied learning, offering an intuitive and accessible way for users to explore quantum phenomena. Future work will focus on expanding multi-user interactions and refining the fidelity of quantum state visualizations.
Jamie Ngoc Dinh, Marven Wong, Matthew Brooks, Charles Tahan, Myungin Lee
IEEE Trans. Vis. Comput. Graph.4