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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A digital quantum processor simulates the 1D Fermi-Hubbard model on up to 120 qubits, observing spin-charge separation and achieving quantitative agreement with TDVP while running up to 3000 times faster in wall-clock time for long evolutions.
Quantum DMFT framework combining Gaussian subspace state representation with compressed circuits for Green's functions, shown to converge in simulation and run on 8-qubit IBM hardware.
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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Fast, accurate, high-resolution simulation of large-scale Fermi-Hubbard models on a digital quantum processor
A digital quantum processor simulates the 1D Fermi-Hubbard model on up to 120 qubits, observing spin-charge separation and achieving quantitative agreement with TDVP while running up to 3000 times faster in wall-clock time for long evolutions.
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Efficient Quantum Implementation of Dynamical Mean Field Theory for Correlated Materials
Quantum DMFT framework combining Gaussian subspace state representation with compressed circuits for Green's functions, shown to converge in simulation and run on 8-qubit IBM hardware.