Using post-selection to map physical noise to a weaker accepted logical channel and then applying order-K perturbative PEC reduces sampling overhead by 3-4 orders of magnitude for logical GHZ preparation on up to 200 qubits with the Iceberg code.
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Postselection on typical syndromes in the toric code suppresses logical error rates from p_f to p_f^b with b approximately 3.1 via large-deviation arguments.
QESEM is a characterization-based error mitigation technique that achieves unbiased estimates with substantially reduced runtime cost compared to probabilistic error cancellation while outperforming zero-noise extrapolation on utility-scale circuits.
Reinforcement reduces quantum search time from √D to ln D and exponentially improves noise tolerance via numerical simulations on qubits and qudits.
Logical quantum kernels outperform physical ones when solving differential equations on a neutral-atom processor, with gains traced to noise error detection in the logical encoding.
The paper identifies four key hurdles in the transition from NISQ to FASQ quantum computers and argues that targeting them will accelerate progress toward useful quantum advantage.
citing papers explorer
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Zeno-Enhanced Probabilistic Error Cancellation with Quantum Error Detection Codes
Using post-selection to map physical noise to a weaker accepted logical channel and then applying order-K perturbative PEC reduces sampling overhead by 3-4 orders of magnitude for logical GHZ preparation on up to 200 qubits with the Iceberg code.
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Scalable accuracy gains from postselection in quantum error correcting codes
Postselection on typical syndromes in the toric code suppresses logical error rates from p_f to p_f^b with b approximately 3.1 via large-deviation arguments.
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Reliable high-accuracy error mitigation for utility-scale quantum circuits
QESEM is a characterization-based error mitigation technique that achieves unbiased estimates with substantially reduced runtime cost compared to probabilistic error cancellation while outperforming zero-noise extrapolation on utility-scale circuits.
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Noise tolerance via reinforcement in the quantum search problem
Reinforcement reduces quantum search time from √D to ln D and exponentially improves noise tolerance via numerical simulations on qubits and qudits.
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Benchmarking a machine-learning differential equations solver on a neutral-atom logical processor
Logical quantum kernels outperform physical ones when solving differential equations on a neutral-atom processor, with gains traced to noise error detection in the logical encoding.
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Mind the gaps: The fraught road to quantum advantage
The paper identifies four key hurdles in the transition from NISQ to FASQ quantum computers and argues that targeting them will accelerate progress toward useful quantum advantage.