Repeated Extraction of Scrambled Quantum Data: Sustainability of the Hayden-Preskill Type Protocols
Seok Hyung Lie, Yong Siah Teo, Hyunseok Jeong

TL;DR
This paper investigates the limits of quantum information extraction from scrambled systems, providing analytical formulas for hacking fidelity and implications for black hole information recovery.
Contribution
It introduces the problem of scrambler hacking, derives optimal fidelity formulas, and explores implications for black hole information paradox.
Findings
Optimal hacking fidelity converges to approximately 0.72 with increased hacking space.
Limited hacking fidelity affects black hole reflectivity, impacting information recovery.
Results challenge the effectiveness of Hayden-Preskill protocols in resolving the black hole information paradox.
Abstract
We introduce and study the problem of scrambler hacking, which is the procedure of quantum information extraction from and installation on a quantum scrambler given only partial access. This problem necessarily emerges from a central topic in contemporary physics - information recovery from systems undergoing scrambling dynamics, such as the Hayden-Preskill protocol in black hole studies - because one must replace quantum data with another when extracting it due to the no-cloning theorem. For large scramblers, we supply analytical formulas for the optimal hacking fidelity, a quantitative measure of the effectiveness of scrambler hacking with limited access. In the two-user scenario where Bob attempts to hack Alice's data, we find that the optimal fidelity converges to with increasing Bob's hacking space relative to Alice's user space. We applied our results to…
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 Mechanics and Applications · Benford’s Law and Fraud Detection · Quantum Computing Algorithms and Architecture
