Quantum Resource Correction
Mark Byrd, Daniel Dilley, Alvin Gonzales, Masaya Takahashi, Zain Saleem, Lian-Ao Wu

TL;DR
This paper investigates quantum resource correction strategies, revealing gauge freedoms in resource theories that enable resource-preserving error correction and simplified decoding, with applications to quantum sensing.
Contribution
It introduces a framework where resource-preserving operations define gauge freedoms, enabling resource correction while altering non-essential properties.
Findings
Resource-preserving operations define gauge freedoms in code spaces.
The framework allows for resource correction with simplified decoding.
Application demonstrated in quantum sensing scenarios.
Abstract
Resource theories play a crucial role in characterizing states and properties essential for quantum information processing. A significant challenge is protecting resources from errors. We explore strategies for correcting quantum resources. We show that resource preserving operations in resource theory define a gauge freedom on code spaces, which allows for recovery strategies that can correct the resource while changing non-essential properties. This allows decoding to be simplified. The results are applicable to various resource theories and we provide an application to quantum sensing.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture
