5/18/2023 0 Comments Quantum error correction overhead![]() Research by UCL scientists published in Physical Review X introduces new decoding techniques and constructions for subsystem codes that tackle these three problems faced by the surface code. Additionally, the error rates observed experimentally in many devices are larger than the surface code can manage, and the standard implementation of the surface code is not well suited to handle biased noise models that can arise in some physical systems. In addition, the surface code uses four-qubit measurements in its operation, but in many quantum computing architectures this is too large. It requires thousands of additional qubits (called overhead qubits) to encode each of the qubits used in calculations, when current quantum computers are limited to less than 100 qubits. However, the surface code struggles with several issues. Due to its high tolerance to realistic circuit-level noise, the surface code has been the focus of many efforts to build a fault-tolerant quantum computer, including at tech companies such as Google and Amazon. The most widely studied quantum error correction code is the surface code. The errors caused by noise can be corrected by implementing error correcting codes. This interaction causes noise and will, if uncorrected, make the results of quantum computers useless. Quantum computers are very sensitive and will interact with their environment. UCL researchers introduce a significantly more efficient architecture for building a quantum computer.
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