
TL;DR
This paper reviews methods for protecting fragile quantum states through error correction and self-correction, focusing on fault-tolerant quantum computation and the planar code as a key example.
Contribution
It provides an overview of error correction techniques and introduces the planar code as a practical framework for quantum memory and computation.
Findings
Error correction is essential for reliable quantum memory.
The planar code enables fault-tolerant quantum computation.
Self-correction mechanisms improve quantum state stability.
Abstract
Quantum states are inherently fragile, making their storage a major concern for many practical applications and experimental tests of quantum mechanics. The field of quantum memories is concerned with how this storage may be achieved, covering everything from the physical systems best suited to the task to the abstract methods that may be used to increase performance. This review concerns itself with the latter, giving an overview of error correction and self-correction, and how they may be used to achieve fault-tolerant quantum computation. The planar code is presented as a concrete example, both as a quantum memory and as a framework for quantum computation.
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