Iterative Optimization: after completing one round of error detection and correction, the quantum error correction algorithm undergoes iterative optimization. This step involves continuously repeating ...

Performance: The dual-rail qubit approach focuses on high fidelity and efficiency per qubit, aiming to achieve better results with fewer qubits compared to traditional scaling methods. Application: ...

Minimum-weight perfect matching (MWPM) algorithms are commonly used to tackle the decoding problem in quantum error correction.

These results herald the advent of early error-corrected quantum computation and chart a path toward large-scale logical processors. NOTE: They did error detection and the surface code distance was ...

A new technical paper titled “Error Detection and Correction Codes for Safe In-Memory Computations” was published by researchers at Robert Bosch, Forschungszentrum Julich, and Newcastle University.

Q-CTRL touts error-correction methods boost quantum algorithm success by 1000 times The quantum startup is edging closer to reducing quantum computer-related errors.

Researchers at Skoltech have presented new generalized LDPC codes (Generalized Low-Density Parity-Check Codes, GLDPC)—a ...

The core of quantum error correction algorithms lies in constructing stable quantum information encoding and efficient mechanisms for error detection and correction, ensuring the accuracy and ...

This step involves continuously repeating the processes of encoding, detection, and correction to progressively reduce the error rate in qubits and improve the accuracy of quantum algorithms.