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原文連結
論文資訊
- 類型：已發表論文
- 日期：2015-04-24
摘要
Current approaches for building 量子 computing devices focus on two-level 量子 systems which nicely mimic the concept of a classical bit, albeit enhanced with additional 量子 properties. However, rather than artificially limiting the number of states to two, the use of d-level 量子 systems (qudits) could provide advantages for 量子 資訊 processing. Among other merits, it has recently been shown that multilevel 量子 systems can offer increased stability to external dist城市ces. In this study we demonstrate that topological 量子 memories built from qudits, also known as Abelian 量子 double models, exhibit a substantially increased 韌性 to noise. That is, even when taking into account the multitude of errors possible for multilevel 量子 systems, topological 量子 error-correction codes employing qudits can sustain a la
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