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Entangling logical qubits with lattice surgery

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arxiv 2006.03071 v1 pith:BGNPCL77 submitted 2020-06-04 quant-ph

Entangling logical qubits with lattice surgery

classification quant-ph
keywords logicalqubitslatticequantumsurgerycorrectionencodedentangling
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Future quantum computers will require quantum error correction for faithful operation. The correction capabilities come with an overhead for performing fault-tolerant logical operations on the encoded qubits. One of the most resource efficient ways to implement logical operations is lattice surgery, where groups of physical qubits, arranged on lattices, can be merged and split to realize entangling gates and teleport logical information. Here, we report on the experimental realization of lattice surgery between two topologically encoded qubits in a 10-qubit ion trap quantum information processor. In particular, we demonstrate entanglement between two logical qubits and we implement logical state teleportation.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Genuine Multipartite Entanglement between Logical Qubits via Cross-Code Lattice Surgery

    quant-ph 2026-07 accept novelty 7.5

    Cross-code lattice surgery between surface and 3D colour codes yields certified logical GHZ and |CCZ> GME plus arbitrary logical rotations on a trapped-ion processor.

  2. Demonstration of logical qubits and repeated error correction with better-than-physical error rates

    quant-ph 2024-04 conditional novelty 7.0

    Logical error rates in [[7,1,3]] and [[12,2,4]] codes are suppressed 9.8-800 times below physical rates on trapped-ion hardware, with repeated correction cycles approaching the error rate of two physical CNOTs.

  3. Magic State Injection on IBM Quantum Processors Above the Distillation Threshold

    quant-ph 2024-12 unverdicted novelty 6.0

    Experimental demonstration of logical |H_L> and |T_L> magic states with fidelities 0.8806 and 0.8665 on IBM superconducting hardware using a qubit-efficient surface code embedding, with reported error thresholds above...