Quantum Error Correction Below The Surface Code Threshold

Willow Quantum Processor Achieving Error Correction Below The Surface Here we present two below threshold surface code memories on our newest generation of superconducting processors, willow: a distance 7 code and a distance 5 code integrated with a real time. In this work, we present two surface code memories operating below this threshold: a distance 7 code and a distance 5 code integrated with a real time decoder.

Breaking The Surface Google Demonstrates Error Correction Below Two below threshold surface code memories on superconducting processors markedly reduce logical error rates, achieving high efficiency and real time decoding, indicating potential for practical large scale fault tolerant quantum algorithms. Here, we demonstrate a quantum memory operating below the threshold by implementing an all microwave leakage suppression architecture on a distance 7 surface code. While the initial improvement was modest (a few percent reduction in error), it was a crucial proof of concept: it indicated their qubits were operating below the surface code threshold, so making the code bigger was actually helping (above threshold, adding qubits would only make things worse). In quantum computing, the threshold theorem (or quantum fault tolerance theorem) states that a quantum computer with a physical error rate below a certain threshold can, through application of quantum error correction schemes, suppress the logical error rate to arbitrarily low levels.

Breaking The Surface Google Demonstrates Error Correction Below While the initial improvement was modest (a few percent reduction in error), it was a crucial proof of concept: it indicated their qubits were operating below the surface code threshold, so making the code bigger was actually helping (above threshold, adding qubits would only make things worse). In quantum computing, the threshold theorem (or quantum fault tolerance theorem) states that a quantum computer with a physical error rate below a certain threshold can, through application of quantum error correction schemes, suppress the logical error rate to arbitrarily low levels. In this work, we present two surface code memories operating below this threshold: a distance 7 code and a distance 5 code integrated with a real time decoder. Two below threshold surface code memories on superconducting processors markedly reduce logical error rates, achieving high efficiency and real time decoding, indicating potential for practical large scale fault tolerant quantum algorithms. Here we present two below threshold surface code memories on our newest generation of superconducting processors, willow: a distance 7 code and a distance 5 code integrated with a real time decoder. There are some simple code such as three qubit error correction code and shor code, while i will introduce an other type of codes, which is named as stabilizer codes.