A new sparse Pauli-frame method shows coherent noise thresholds are overestimated by a factor of ~4 under Pauli-twirling and revises the T-to-S gate error rate factor to as high as 7 at distance d=5.
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Efficient algorithms compute stabilizer Rényi entropy and mana for quantum states from vectors at O(N d^{2N}) cost using fast Hadamard transform, with open-source implementation.
Perturbed random Floquet-Clifford circuits exhibit operator-space fragmentation into wall-separated sectors for p < 1, yielding exact local integrals of motion, tunable operator spreading length, an entanglement bottleneck, and a pre-RMT fragmentation timescale at p = 1.
Phase stripping reduces target-state magic to enable O(poly(n)) or O(1) sample fidelity estimation for phase-dominated states using a single fan-out gate plus nonlinear Pauli post-processing.
citing papers explorer
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Computing logical error thresholds with the Pauli Frame Sparse Representation
A new sparse Pauli-frame method shows coherent noise thresholds are overestimated by a factor of ~4 under Pauli-twirling and revises the T-to-S gate error rate factor to as high as 7 at distance d=5.
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Computing quantum magic of state vectors
Efficient algorithms compute stabilizer Rényi entropy and mana for quantum states from vectors at O(N d^{2N}) cost using fast Hadamard transform, with open-source implementation.
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Operator space fragmentation in perturbed Floquet-Clifford circuits
Perturbed random Floquet-Clifford circuits exhibit operator-space fragmentation into wall-separated sectors for p < 1, yielding exact local integrals of motion, tunable operator spreading length, an entanglement bottleneck, and a pre-RMT fragmentation timescale at p = 1.
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Sample- and Hardware-Efficient Fidelity Estimation by Stripping Phase-Dominated Magic
Phase stripping reduces target-state magic to enable O(poly(n)) or O(1) sample fidelity estimation for phase-dominated states using a single fan-out gate plus nonlinear Pauli post-processing.