- Google quantum error correction how to#
- Google quantum error correction software#
- Google quantum error correction code#
Importantly, this interaction between the classical and quantum processors happens during run-time, and it finishes quickly compared to any process that might corrupt the encoded qubit further, thereby allowing the computation to proceed.
If it is, the classical computer assigns correction operations to fix the encoded qubit. A classical computer quickly processes measurements made by the three extra qubits to determine if the encoded qubit is in error. In our setup, we use seven trapped-ion qubits to encode a single logical qubit and three extra trapped-ion qubits to detect errors.
Google quantum error correction code#
Here, we present the first experimental demonstration of a quantum error-correction code able to detect errors and fix them while a computation is taking place as well as demonstrate the ability to arbitrarily repeat such corrected quantum computation. Fortunately, the discovery of quantum error codes showed that redundant encoding of quantum information into larger quantum systems allows for the exponential suppression of noise, thereby making large-scale quantum computations feasible.
Google quantum error correction how to#
Quantum computers promise to deliver exponential improvements over their classical counterparts, but only if researchers learn how to tame the noise and errors in the underlying logic operations. Finally, we present system-level simulations that allow us to identify key hardware upgrades that may enable the system to reach the pseudothreshold. Additionally, we demonstrate non-Clifford qubit operations by encoding a T ¯ | + ⟩ L magic state with an error rate below the threshold required for magic state distillation. Moreover, these procedures are done repeatedly while maintaining coherence, demonstrating a dynamically protected logical qubit memory.
Google quantum error correction software#
We then perform multiple syndrome measurements on the encoded qubit, using a real-time decoder to determine any necessary corrections that are done either as software updates to the Pauli frame or as physically applied gates. The logical qubit is initialized into the eigenstates of three mutually unbiased bases using an encoding circuit, and we measure an average logical state preparation and measurement (SPAM) error of 1.7 ( 2 ) × 10 − 3, compared to the average physical SPAM error 2.4 ( 4 ) × 10 − 3 of our qubits. In this work, we use a 10-qubit quantum charge-coupled device trapped-ion quantum computer to encode a single logical qubit using the ] color code, first proposed by Steane. Realizing this high-level function requires a system capable of several low-level primitives, including single-qubit and two-qubit operations, midcircuit measurements of subsets of qubits, real-time processing of measurement outcomes, and the ability to condition subsequent gate operations on those measurements.
Correcting errors in real time is essential for reliable large-scale quantum computations.
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