Quick Navigation
Topics
Trapped Ion Quantum Computing
Scalable Qumode-Qubit State Transfer and Fast-forward Quantum Fourier Transform using Oscillators
arXiv
Authors: Joel Bierman, Shubdeep Mohapatra, Huiyang Zhou, Yuan Liu
Year
2026
Paper ID
48887
Status
Preprint
Abstract Read
~2 min
Abstract Words
148
Citations
N/A
Abstract
Transferring the information stored in the expansion coefficients of a multi-qubit state to the coefficients of a continuous-variable state is an important protocol for communicating quantum information. It was shown in previous work how to transfer an n-qubit state to a single qumode in mathcal{O}\(2n\) time. We show that by transferring this state to m qumodes, the runtime can be improved to mathcal{O}\(2n/m\). Furthermore, we demonstrate how multi-qumode state transfer can be used as a subroutine for approximately realizing the n-qubits quantum Fourier transform on m-qumode with runtime scaling mathcal{O}\(m2n/m/ε+m2\), accelerating qubit quantum Fourier transform using qumodes. This work presents a scalable approach to convert discrete and continuous quantum information between an arbitrary number of qubits and qumodes. It represents a crucial step forward in mixed analog-digital quantum signal processing for computing, sensing, and communication.
Why This Paper Matters
- This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
- It adds a 2026 reference point for readers tracking recent quantum research.
- Transferring the information stored in the expansion coefficients of a multi-qubit state to the coefficients of a continuous-variable state is an important protocol for...
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.