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Quantum Resource Correction

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

TL;DR

It is shown 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, which allows decoding to be simplified.

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.

Quantum Resource Correction

TL;DR

It is shown 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, which allows decoding to be simplified.

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.

Paper Structure

This paper contains 2 theorems, 23 equations.

Key Result

Theorem 1

Let $\mathcal{E}$ be a noise channel. The necessary and sufficient conditions for logical resource correction are where $\alpha_{ik}$ is a Hermitian matrix and $P$ is the projector onto the code space.

Theorems & Definitions (4)

  • Theorem 1
  • proof
  • Proposition 1
  • proof