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Incorporating coherent crosstalk noise into simulations reveals that logical error rates increase and code thresholds decrease, challenging previous estimates based on simplified models. This finding necessitates higher physical qubit fidelity to achieve fault tolerance, directly impacting the complexity and cost of scalable quantum hardware. The study validates hybrid stabilizer-tensor network techniques as essential for accurately modeling noise dynamics beyond classical simulation limits.
Quantum Computer Errors Rise As Crosstalk Noise Is Fully Modelled

Error rates in logical qubits demonstrably increase when coherent crosstalk noise is accounted for, a finding at odds with prior analyses relying on simplified noise models. These simulations, enabled by hybrid stabilizer-tensor network techniques, reveal noise dynamics previously beyond the reach of classical computation. This allows for a more accurate assessment of the challenges facing scalable, fault-tolerant quantum computers.
Researchers at The University of Melbourne and Monash University have conducted a thorough investigation into coherent quantum crosstalk noise and its impact on surface codes, advancing the development of practical, fault-tolerant quantum computers. Ben Harper and colleagues utilised advanced hybrid stabilizer-tensor network simulations to model this previously inaccessible noise during syndrome extraction. The findings reveal that including coherence in noise models sharply increases logical error rates and lowers the code threshold, demonstrating how noise distribution alters performance. These results offer key new insights into the effects of crosstalk noise and broaden the scope of quantum error correction code simulations. Surface code logical error rates have been…
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