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: ...

AlgSP achieved the best possible results out of five of the six datasets. The algorithm also proved to be among the fastest in community detection. The research has the potential to greatly enhance ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced today that their newly developed quantum edge detection algorithm has broken through the limitations of classical methods ...

Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology ...

Deepfake detection improves when using algorithms that are more aware of demographic diversity “Our research addresses deepfake detection algorithms’ fairness, rather than just attempting to balance ...

Shenzhen, May. 27, 2025––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced efforts to improve the accuracy and reliability of quantum algorithms by exploring and ...

Additionally, the algorithm can dynamically adjust the encoding scheme, measurement protocol, and correction algorithm based on feedback gathered during the iterations, further enhancing the ...