Quick Navigation
Topics
Trapped Ion Quantum Computing
How to Construct Random Unitaries
arXiv
Authors: Fermi Ma, Hsin-Yuan Huang
Year
2024
Paper ID
38165
Status
Preprint
Abstract Read
~2 min
Abstract Words
130
Citations
N/A
Abstract
The existence of pseudorandom unitaries (PRUs) - efficient quantum circuits that are computationally indistinguishable from Haar-random unitaries - has been a central open question, with significant implications for cryptography, complexity theory, and fundamental physics. In this work, we close this question by proving that PRUs exist, assuming that any quantum-secure one-way function exists. We establish this result for both (1) the standard notion of PRUs, which are secure against any efficient adversary that makes queries to the unitary U, and (2) a stronger notion of PRUs, which are secure even against adversaries that can query both the unitary U and its inverse Udagger. In the process, we prove that any algorithm that makes queries to a Haar-random unitary can be efficiently simulated on a quantum computer, up to inverse-exponential trace distance.
Why This Paper Matters
- This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
- It adds a 2024 reference point for readers tracking recent quantum research.
- The existence of pseudorandom unitaries (PRUs) - efficient quantum circuits that are computationally indistinguishable from Haar-random unitaries - has been a central open...
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.