Day-27 Quantum Cryptography — Quantum Error Correction and Fault Tolerance

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How to Protect Quantum Information from Errors and Faults

Quantum information is the information that is encoded and processed by using quantum systems, such as atoms, photons, or superconducting circuits. Quantum information has some unique and remarkable properties, such as superposition, entanglement, and non-cloning, that enable new possibilities and applications for information processing. However, quantum information is also very fragile and vulnerable to errors and faults that can arise from various sources, such as imperfect devices, noisy operations, or environmental interactions.

To preserve and protect quantum information from errors and faults, two techniques are essential: quantum error correction and quantum fault tolerance. Quantum error correction is the technique that allows us to detect and correct errors in quantum states or operations by using extra qubits or ancillas that store redundant information. Quantum fault tolerance is the technique that allows us to design and implement quantum systems or algorithms that can function correctly even if some components or steps are faulty or erroneous.

Summarise our learning

In this video¹, Daniel Gottesman from the Institute for Quantum Computing gives an overview of quantum error correction and fault tolerance. He introduces the main concepts and methods of these techniques, such as qubits, quantum gates, quantum circuits, quantum codes, stabilizers, syndrome measurement, error models, thresholds, and fault-tolerant gadgets.

He also highlights some of the current challenges and future directions in this field, such as developing efficient and realistic quantum codes and fault-tolerant schemes, optimizing resource overheads and trade-offs, and realizing experimental demonstrations.

Conclusion

The video is part of a series of lectures on quantum error correction and fault tolerance that are offered by the Institute for Quantum Computing as part of its online course on quantum information science². The video is intended for anyone who has a basic background in linear algebra, quantum mechanics, and quantum computing, and who wants to learn more about this exciting and important topic.

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Ajeet Kumar Bhardwaj @Applied mathematics

A student by Learning, An Applied Mathematician by Training under my graduation degree. In the process to master the Data Science, Machine and Deep Learning.