Today the Quantum AI team of Google experimentally demonstrated error correction using it's next generation Quantum processor widely known as Sycamore. Back in 2019, Google announced their big breakthrough in Quantum Computing. In other words, Google was able to solve a problem using their quantum computer that would have taken impractical amount of time for an ordinary computer to solve.
On a traditional computer information can be stored as 0 or 1. That's not the case for quantum computer though as a bit of information can be both 0 and 1 at the same time which is also known as quantum bit or qubit. Naturally you can have four possible state for two qubit of data. As the amount of data grows so are the possibilities thus a quantum computer can have wide range of solution to any particular problem but at the same time it also increases the chances of error.
Despite it's limitation quantum computer has demonstrated its speed over traditional super computers. For an example, quantum computer was able to perform a computation test in 200 seconds that would have taken thousands of years for a modern supercomputer which is remarkably fast.
Today Google announced that it's Quantum AI team has experimentally demonstrated that it is possible to reduce the number of errors simply by increasing the number of qubits. Instead of working with physical qubits one by one with it's Quantum Processor, it treats a group of qubits as logical qubit. For an example a logical qubit of 49 physical qubits was able to outperform the one that Google made from 17 qubits.
This new mechanism of building logical qubit is done through encoding multiple physical qubit which protects information from corruption. Unfortunately though this is not enough for useful quantum algorithms but Google hope to continue its research to reduce error rates.
Google Quantum AI team also published their research work on Nature today which you can check out if you are interested to learn more about their work.
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