MCMit proposes a constant-latency multi-control branch instruction, transformer and CNN discriminators, plus static MCM elimination and stochastic branching, evaluated on Qubic with QPU traces to cut latency by 70% and logical error rates by up to 9.4x.
Big cats: Entanglement in 120 qubits and beyond
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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.
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.
citing papers explorer
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MCMit: Mid-Circuit Measurement Error Mitigation
MCMit proposes a constant-latency multi-control branch instruction, transformer and CNN discriminators, plus static MCM elimination and stochastic branching, evaluated on Qubic with QPU traces to cut latency by 70% and logical error rates by up to 9.4x.
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Learning error suppression strategies for dynamic quantum circuits
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.
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Efficient direct quantum state tomography using fan-out couplings
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.
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Network-Mediated Capacitive Coupling Drives Fast OTOC Saturation in Superconducting Circuits
Network-mediated capacitive couplings in transmon arrays accelerate OTOC saturation and produce intermediate spectral statistics between Poisson and GOE limits.
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Opportunities and challenges in scaling quantum error detection on hardware
Hardware benchmarks of repetition and triangular color codes for quantum error detection show promise for scaling despite exponential sample costs and embedding overheads.
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Compressed Sensing for Efficient Fidelity Estimation of GHZ States
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.
- Detecting entanglement from few partial transpose moments and their decay via weight enumerators