pith. sign in

arxiv: 2208.01863 · v1 · pith:646JVCBYnew · submitted 2022-08-03 · 🪐 quant-ph

Implementing Fault-tolerant Entangling Gates on the Five-qubit Code and the Color Code

classification 🪐 quant-ph
keywords logicalfidelitygatequantumcnotcodecolordifferent
0
0 comments X
read the original abstract

We compare two different implementations of fault-tolerant entangling gates on logical qubits. In one instance, a twelve-qubit trapped-ion quantum computer is used to implement a non-transversal logical CNOT gate between two five qubit codes. The operation is evaluated with varying degrees of fault tolerance, which are provided by including quantum error correction circuit primitives known as flagging and pieceable fault tolerance. In the second instance, a twenty-qubit trapped-ion quantum computer is used to implement a transversal logical CNOT gate on two [[7,1,3]] color codes. The two codes were implemented on different but similar devices, and in both instances, all of the quantum error correction primitives, including the determination of corrections via decoding, are implemented during runtime using a classical compute environment that is tightly integrated with the quantum processor. For different combinations of the primitives, logical state fidelity measurements are made after applying the gate to different input states, providing bounds on the process fidelity. We find the highest fidelity operations with the color code, with the fault-tolerant SPAM operation achieving fidelities of 0.99939(15) and 0.99959(13) when preparing eigenstates of the logical X and Z operators, which is higher than the average physical qubit SPAM fidelities of 0.9968(2) and 0.9970(1) for the physical X and Z bases, respectively. When combined with a logical transversal CNOT gate, we find the color code to perform the sequence--state preparation, CNOT, measure out--with an average fidelity bounded by [0.9957,0.9963]. The logical fidelity bounds are higher than the analogous physical-level fidelity bounds, which we find to be [0.9850,0.9903], reflecting multiple physical noise sources such as SPAM errors for two qubits, several single-qubit gates, a two-qubit gate and some amount of memory error.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 12 Pith papers

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

  1. Breakeven demonstration of quantum low-density parity-check codes

    quant-ph 2026-06 unverdicted novelty 7.0

    Experimental breakeven demonstration of a qLDPC code encoding 4 logical qubits in 18 physical qubits on trapped ions, with up to 9x lower logical error rate than prior superconducting implementations.

  2. Chutes and Ladders: Dynamical Automorphisms via the ZX-Calculus

    quant-ph 2026-06 unverdicted novelty 7.0

    Extends ZX-calculus to dynamical stabilizer codes via gauge fixing to construct measurement-based logical automorphisms, shown with a distance-preserving phase gate on the seven-qubit code.

  3. Helios: A 98-qubit trapped-ion quantum computer

    quant-ph 2025-11 accept novelty 7.0

    Helios achieves 98 qubits with single-qubit gate infidelity 2.5(1)×10^{-5}, two-qubit 7.9(2)×10^{-4}, and SPAM 4.8(6)×10^{-4}, enabling circuits beyond classical simulation.

  4. Demonstrating an unconditional separation between quantum and classical information resources

    quant-ph 2025-09 unverdicted novelty 7.0

    Demonstrates a task solvable with 12 qubits but requiring 62-382 classical bits of memory, yielding unconditional quantum information supremacy on a trapped-ion processor.

  5. 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.

  6. Fault-Tolerant Error Detection Above Break-Even for Multi-Qubit Gates

    quant-ph 2026-04 unverdicted novelty 6.0

    Fault-tolerant Iceberg code on trapped-ion hardware achieves beyond-break-even error detection for Toffoli and Bell circuits by filtering errors, yielding higher fidelity than unencoded versions.

  7. 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...

  8. Robustness of near-thermal dynamics on digital quantum computers

    quant-ph 2024-10 unverdicted novelty 6.0

    Trotterized near-thermal dynamics are substantially more robust to gate and Trotter errors than assumed, enabled by linear gate-error scaling with entanglement and a random product state ensemble approximating thermal states.

  9. Synchronizable hybrid subsystem codes

    quant-ph 2024-09 unverdicted novelty 6.0

    Synchronizable hybrid subsystem codes are built from classical cyclic codes C and D with C^perp subset C subset D via CSS construction to correct Pauli and synchronization errors, tolerate gauge errors, and carry both...

  10. Robust design under uncertainty in quantum error mitigation

    quant-ph 2023-07 unverdicted novelty 6.0

    Presents unbiased uncertainty quantification for post-processing error mitigation and applies it to optimize hyperparameters in Zero Noise Extrapolation and Clifford Data Regression under finite-shot noise.

  11. Characterizing a non-equilibrium phase transition on a quantum computer

    quant-ph 2022-09 unverdicted novelty 6.0

    A quantum computer implemented a quantum disease spreading model with up to 73 sites and 72 layers, enabling quantitative measurement of its non-equilibrium phase transition critical properties.

  12. Hardware-Tailored Resource Estimation for Magic-State Distillation on Silicon Spin Qubits

    quant-ph 2026-05 unverdicted novelty 5.0

    Resource estimation for magic-state distillation on silicon spin qubits finds 42% overhead reduction via optimized pulses and ~3x physical footprint reduction with biased codes versus surface code.