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  1. Home
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  3. Lattice Surgery on a 17-Qubit Superconducting Processor
Quantum Computing

Lattice Surgery on a 17-Qubit Superconducting Processor

Posted on January 31, 2026 by HemaSumanth4 min read
Lattice Surgery on a 17-Qubit Superconducting Processor

This article describes a major breakthrough in quantum error correction through the use of a 17-qubit superconducting processor to perform lattice surgery. A split technique that converted one surface-code logical qubit into two entangled repetition-code qubits was successfully demonstrated by researchers. In comparison to non-encoded systems, the team obtained better logical observable values by using a fault-tolerant circuit for bit-flip faults. The functional building blocks needed to carry out sophisticated gates in planar quantum layouts are validated by this experiment. Additionally, the paper provides a path for fault-tolerant, scalable quantum computing by benchmarking performance using logical process tomography. The discoveries signal a key shift from simple state preservation to the active manipulation of protected quantum information.

The Challenge of Logical Entanglement

In the quest for universal quantum computation, scientists must devise techniques to secure delicate quantum information from mistakes. According to the study, executing gates between these logical qubits is still a significant challenge, even if earlier research has demonstrated that single logical qubits can maintain their state. Because qubits have fixed local connections in many hardware designs, it is challenging to construct classic “transversal” entangling gates without high cost.

Lattice surgery emerges as a strong alternative, allowing for fault-tolerant gate operations while keeping a basic, planar configuration of physical qubits. This approach combines “merge” and “split” operations, deforming the code lattice to measure observables over many logical qubits, as the essential building blocks for CNOT gates and magic state distillation.

The Lattice Split Procedure

Under the direction of Ilya Besedin and Michael Kerschbaum, the experimental team at ETH Zurich used a device made up of 17 flux-tunable transmon qubits. This hardware was created especially to implement a rotating distance-three surface code in which local stabilizer measurements are used to identify physical problems. Performing an X-type lattice split on a single surface-code logical qubit was the experiment’s main objective.

As mentioned in the sources, the split operation changes one logical degree of freedom into two independent degrees of freedom. In particular, the researchers divided a distance-three surface code into two independently operating bit-flip repetition codes. The researchers used a Pauli-frame update in post-processing, flipping logical outcomes based on the outcomes of mid-circuit data qubit readouts, to make this operation predictable.

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Overcoming Bit-Flip Errors

A notable aspect of this work is its fault tolerance against bit-flip faults. The study points out that the resultant logical observables were shielded from any one physical fault since Z-type stabilizer measurements were carried out throughout the circuit, including the split and readout phases. To tackle the noisy data, the researchers applied a minimum-weight perfect matching (MWPM) decoder to determine the most likely mistake routes.

The outcomes of this mistake correction were considerable. The team saw an improvement in the logical ZZ observable, which went from a “raw” value of 0.189 to a “decoded” value of 0.730. When the experiment was handled in an error detection mode, discarding any runs where a syndrome measurement revealed a mistake, the expectation value reached a near-ideal 0.998. This performance was considerably superior to a “non-encoded” version of the circuit, which lacked the redundant qubits needed for error correction.

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Benchmarking and Process Tomography

To adequately describe the split procedure, the researchers went beyond basic cardinal states. They employed state injection to construct arbitrary logical states on the Bloch sphere, parameterized by a variable polar angle. This enabled them to see how the resultant entangled logical qubits were impacted by various beginning states.

To rebuild the Pauli transfer matrix for the split operation, the researchers also used logical quantum process tomography. One of the logical qubits had a tiny, inadvertent coherent phase rotation of about 0.11π, according to this research. This change is caused by an AC-Stark effect brought on by a nearby data qubit’s mid-circuit measurement. Despite this slight coherent mistake, the experimental results demonstrated great qualitative agreement with numerical calculations.

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Towards a Scalable Future

The researchers stress that the current protocol provides a conceptual blueprint for bigger systems, even though it is mainly fault-tolerant for bit-flip faults. The sources imply that future studies utilizing bigger surface codes will be able to achieve full fault tolerance, defending against both bit-flip and phase-flip defects concurrently.

Additionally, the characterization methods created in this work, such as logical process tomography, are hailed as crucial instruments for evaluating logical processes’ performance in the noisy intermediate-scale quantum era. By successfully integrating these functional building blocks on superconducting circuits, the ETH Zurich team has built a clearer road towards the ubiquitous, error-corrected quantum computers of tomorrow. This study’s results, which included average two-qubit gate errors of 2.2% and energy relaxation periods (T1) ranging from 24 to 78 μs, provide a practical foundation for the upcoming generation of lattice surgery studies.

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Tags

17-Qubit Superconducting ProcessorETH Zurichlogical process tomographyLogical qubitssuperconducting processor

Written by

HemaSumanth

Myself Hemavathi graduated in 2018, working as Content writer at Govindtech Solutions. Passionate at Tech News & latest technologies. Desire to improve skills in Tech writing.

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