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Enhancing quantum computer performance via symmetrization

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arxiv 2301.07233 v1 pith:UCSRHAUP submitted 2023-01-18 quant-ph cs.ET

classification quant-phcs.ET
keywords quantumcomputersperformancecomputerimperfectionsqubitsymmetrizationaddress
verification ladder T0 review T1 audit T2 compute T3 formal
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Large quantum computers promise to solve some critical problems not solvable otherwise. However, modern quantum technologies suffer various imperfections such as control errors and qubit decoherence, inhibiting their potential utility. The overheads of quantum error correction are too great for near-term quantum computers, whereas error-mitigation strategies that address specific device imperfections may lose relevance as devices improve. To enhance the performance of quantum computers with high-quality qubits, we introduce a strategy based on symmetrization and nonlinear aggregation. On a commercial trapped-ion quantum computer, it improves performance of multiple practical algorithms by 100x with no qubit or gate overhead.

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Cited by 2 Pith papers

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

  1. Experimental demonstration of the Quantum Fourier Transform on up to 100 qubits using a convolutional compilation strategy

    quant-ph 2026-08 conditional novelty 6.0 of 10

    A new LNN QFT compilation reaches all-to-all CX counts, and a truncated 'Convolutional' variant was demonstrated on IBM hardware up to 100 qubits with the correct frequency as the mode output.

  2. Demonstrating Record Fidelity for the Quantum Fourier Transform

    quant-ph 2026-04 unverdicted novelty 6.0 of 10

    Parity Architecture delivers record ~0.01 fidelity for 50-qubit QFT on IBM hardware with super-exponential scaling improvement.

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