Title :
The minimum distance problem for two-way entanglement purification
Author :
Ambainis, Andris ; Gottesman, Daniel
Author_Institution :
Sch. of Math., Inst. for Adv. Study, Princeton, NJ, USA
Abstract :
Entanglement purification takes a number of noisy EPR pairs |00>+|11> and processes them to produce a smaller number of more reliable pairs. If this is done with only a forward classical side channel, the procedure is equivalent to using a quantum error-correcting code (QECC). We instead investigate entanglement purification protocols with two-way classical side channels (2-EPPs) for finite block sizes. In particular, we consider the analog of the minimum distance problem for QECCs, and show that 2-EPPs can exceed the quantum Hamming bound and the quantum Singleton bound. We also show that 2-EPPs can achieve the rate k/n=1-(t/n)log23-h(t/n)-O(1/n) (asymptotically reaching the quantum Hamming bound), where the EPP produces at least k good pairs out of n total pairs with up to t arbitrary errors, and h(x)=-xlog2x-(1-x)log2(1-x) is the usual binary entropy. In contrast, the best known lower bound on the rate of QECCs is the quantum Gilbert-Varshamov bound k/n≥1-(2t/n)log23-h(2t/n). Indeed, in some regimes, the known upper bound on the asymptotic rate of good QECCs is strictly below our lower bound on the achievable rate of 2-EPPs.
Keywords :
binary codes; channel coding; entropy codes; error correction codes; protocols; quantum computing; quantum entanglement; 2-EPP; QECC; binary entropy; entanglement purification protocol; finite block size; minimum distance problem; quantum Gilbert-Varshamov bound; quantum communication; quantum computation; quantum error-correcting code; two-way classical side channel; Decoding; Error correction; Error correction codes; Mathematics; Paramagnetic resonance; Protection; Protocols; Purification; Quantum computing; Quantum entanglement; Entanglement distillation; entanglement purification protocol; quantum communication; quantum computation; quantum error correction;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2005.862089