Empirically learned dynamical decoupling sequences reduce average error rates in dynamic quantum circuits by a factor of three and enable nontrivial process fidelity for quantum Fourier transforms on up to 20 qubits.
Big cats: Entanglement in 120 qubits and beyond
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A fan-out coupling architecture enables constant-depth direct quantum state tomography with built-in error mitigation via involutory repetition, experimentally validated up to 20 qubits on superconducting hardware.
Network-mediated capacitive couplings in transmon arrays accelerate OTOC saturation and produce intermediate spectral statistics between Poisson and GOE limits.
Hardware benchmarks of repetition and triangular color codes for quantum error detection show promise for scaling despite exponential sample costs and embedding overheads.
Compressed sensing exploits sparsity in GHZ states to reduce measurement overhead for fidelity estimation while maintaining accuracy, as shown in simulations and Quantinuum trapped-ion experiments with error detection.
MCMit mitigates mid-circuit measurement errors via a new multi-control branch instruction, CNN and transformer discriminators, and software techniques, reporting up to 70% latency reduction and 80% lower logical error rates in QEC.
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MCMit: Mid-Circuit Measurement Error Mitigation
MCMit mitigates mid-circuit measurement errors via a new multi-control branch instruction, CNN and transformer discriminators, and software techniques, reporting up to 70% latency reduction and 80% lower logical error rates in QEC.