Dissipationless topological quantum computation for Majorana objects in sparse-dense mixed encoding process
Ye-Min Zhan, Guan-Dong Mao, Yu-Ge Chen, Yue Yu, and Xi Luo

TL;DR
This paper introduces a method for topological quantum computation using Majorana objects that corrects fermion parity issues without information loss, enhancing reliability in quantum gates.
Contribution
It proposes a non-dissipative correction technique for fermion parity errors in topological quantum computing, applicable to various Majorana-based systems.
Findings
Correction process preserves quantum information during fermion parity correction.
Applicable to both Majorana-zero-mode and Majorana-edge-mode systems.
Enhances the reliability of topological quantum gates.
Abstract
Topological quantum computation based on Majorana objects is subject to a significant challenge because at least some of the two-qubit quantum gates rely on the fermion (either charge or spin) parity of the qubits. This dependency renders the quantum operations involving these gates probabilistic when attempting to advance quantum processes within the quantum circuit model. Such an approach leads to significant information loss whenever measurements yield the undesired fermion parity. To resolve the problem of wasting information, we devise topological operations that allow for the non-dissipative correction of information from undesired fermion parity to the desired one. We will use the sparse-dense mixed encoding process for the controlled-NOT gate as an example to explain how corrections can be implemented without affecting the quantum information carried by the computational qubits.…
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