2020
DOI: 10.1103/physreva.102.012423
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Approach for the construction of non-Calderbank-Steane-Shor low-density-generator-matrix–based quantum codes

Abstract: The game took me to Saint Andrew's College and so we now turn to that marvelous place. I would not be who I am today had I not spent two years at SAC. True to its motto, the place molded me into a significantly more mature individual and taught me skills that have shined with brilliance during my time as a PhD student. To all my teachers, coaches, and friends at SAC, thank you. Special shoutouts to my friends in 1st Hockey and the so-called "Dawgz": Graham, Humza, David, YoungWoo, West, and Andy. Although we h… Show more

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Cited by 14 publications
(10 citation statements)
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References 189 publications
(695 reference statements)
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“…In this paper, as in most of the work conducted on quantum error correction, we will mainly consider the independent depolarizing channel model [19]- [21], [26], [28], [29], [53], [62]- [66]. This model is a specific instance of the Pauli channel in which the individual depolarizing probabilities are all equal, i.e., p x = p z = p y = p 3 , and the channel is characterized by the depolarizing probability p. When quantum states of N qubits are considered, the errors that take place belong to the effective N -fold Pauli group G N .…”
Section: ) Quantum Channelsmentioning
confidence: 99%
See 1 more Smart Citation
“…In this paper, as in most of the work conducted on quantum error correction, we will mainly consider the independent depolarizing channel model [19]- [21], [26], [28], [29], [53], [62]- [66]. This model is a specific instance of the Pauli channel in which the individual depolarizing probabilities are all equal, i.e., p x = p z = p y = p 3 , and the channel is characterized by the depolarizing probability p. When quantum states of N qubits are considered, the errors that take place belong to the effective N -fold Pauli group G N .…”
Section: ) Quantum Channelsmentioning
confidence: 99%
“…the commutativity constraint of stabilizer codes (recall that all the elements of the stabilizer must commute), which results in the QPCM of the code having an even number of row overlaps and in the appearance of length 4 cycles in the corresponding factor graph [18]. The negative effects of these cycles can be mitigated by using specific QLDPC construction strategies like the bicycle codes of [16], LDGM based CSS and non-CSS codes [19]- [21], or the quasi-cyclic constructions of [109]- [111]. Recently, some results have shown that there is some merit in preserving a number of these cycles [112], as they can help with spreading information throughout the factor graph during the decoding process.…”
Section: B End-to-end Errorsmentioning
confidence: 99%
“…Unfortunately, although degeneracy may potentially improve performance, limited research exists on how to quantify the true impact that this phenomenon has on Quantum Low Density Parity Check (QLDPC) codes. This has resulted in the performance of QLDPC codes being assessed differently throughout the literature; while some research considers the effects of degeneracy by computing the metric known as the logical error rate [3], [15]- [20], other works employ the classical strategy of computing the physical error rate [21]- [26], a metric which provides an upper bound on the logical error rate of these codes since it ignores degeneracy. In the context of degenerate quantum codes, the discrepancy between results computed based on the physical error rate and the logical error rate can become significant.…”
Section: Introductionmentioning
confidence: 99%
“…Given the coset structure of sparse quantum codes, intuition would point towards approaching the issue of calculating the logical error rate by finding and comparing the stabilizer cosets of the estimated error sequences and the stabilizer cosets of the channel errors. Unfortunately, the task of computing stabilizer cosets has been shown to be computationally hard [4], [12], [24], which is the reason why the performance of some sparse quantum codes [21]- [26] has been assessed based on the physical error rate. This metric is computed by comparing the error sequence estimated by the decoder, Ê ∈ G 𝑁 , to the channel error, E ∈ G 𝑁 , where G 𝑁 denotes the 𝑁-fold effective Pauli group.…”
Section: Introductionmentioning
confidence: 99%
“…In consequence, the quantum information community has gone to extraordinary lengths to construct QECCs that are capable of efficiently reversing the deleterious effects that quantum information experiences due to the interaction between qubits and their surrounding environment. This has led to the design of several promising families of QECCs, such as quantum Reed-Muller codes 1 , quantum low-density parity-check (QLDPC) codes 2 , quantum low-density generator matrix codes [3][4][5] , quantum convolutional codes 6 , quantum turbo codes (QTCs) [7][8][9][10][11] , and quantum topological codes 12,13 . It is important to point out that the aforementioned QECCs are utilized in the context of conventional qubit-based quantum computation, in which the physical elements are realized by discrete two-level systems.…”
Section: Introductionmentioning
confidence: 99%