No physics required! A visual-based introduction to GKP qubits for computer scientists
Richard A. Wolf, Pavithran Iyer

TL;DR
This paper introduces a visual, physics-free approach to understanding GKP qubits, making complex quantum error correction concepts accessible to computer scientists and learners outside physics.
Contribution
It provides a geometric, intuitive guide to GKP qubits and quantum error correction, tailored for non-physicists and computer scientists.
Findings
Developed a visual-based teaching framework for GKP qubits
Enhanced understanding of quantum error correction for non-physicists
Facilitated accessible learning in continuous-variable quantum computing
Abstract
With the significance of continuous-variable quantum computing increasing thanks to the achievements of light-based quantum hardware, making it available to learner audiences outside physics has been an important yet seldom-tackled challenge. Similarly, the rising focus on fault-tolerant quantum computing has shed light on quantum error correction schemes, turning it into the locus of attention for industry and academia alike. In this paper, we explore the widely adopted framework of quantum error correction based on continuous variable systems and suggest a guide on building a self-contained learning session targeting the famous Gottesman-Kitaev-Preskill (GKP) code through its geometric intuition.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Radiation Effects in Electronics · Distributed systems and fault tolerance
