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Quantum science and technology

Quantum Error-Correcting Codes

Giuliano G. La Guardia

Published Jan 1, 2020• 1 citation
Publisher
DOI
10.1007/978-3-030-48551-1_3

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In this paper, we introduce a unified framework to construct entanglement-assisted quantum error-correcting codes, including additive and nonadditive codes, based on the codeword stabilized framework on subsystems. The codeword stabilized (CWS) framework is a scheme to construct quantum error-correcting codes (QECCs) including both additive and nonadditive codes, and gives a method to construct a QECC from a classical error-correcting code in standard form. Entangled pairs of qubits (ebits) can be used to improve capacity of quantum error correction. In addition, it gives a method to overcome the dual-containing constraint. Operator quantum error correction (OQEC) gives a general framework to construct quantum error-correcting codes. We construct OQEC codes with ebits based on the CWS framework. This new scheme, entanglement-assisted operator codeword stabilized (EAOCWS) quantum codes, is the most general framework we know of to construct both additive and nonadditive codes from classical error-correcting codes. We describe the formalism of our scheme, demonstrate the construction with examples, and give several EAOCWS codes.
In [6], the 2-EPPs using quantum error correcting codes (QECCs) and binary search were proposed and shown to have a high purification capability. This protocol maintains a balance between error-detection and correction capabilities by using QECCs to detect errors and binary search to correct a single error. However, when we construct a protocol from codes whose code-length is long, sharing entanglement efficiently is difficult because of an incapability to perform error correction despite an error-detection capability. In this paper, we propose a method to improve the capability of error correction by using binary search more than once. We also show the performance of the protocol, which consists of a (16, 6, 4) stabilizer code, and show that this method is useful in improving performance.