A closed-form resource estimation tool for concatenated quantum error correction reveals that magic-state operations rarely dominate qubit costs, with general optimizations providing orders-of-magnitude larger reductions than magic-specific ones.
Preskill, Reliable quantum computers, Proceedings of the Royal Society of London
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Logical error rates in [[7,1,3]] and [[12,2,4]] codes are suppressed 9.8-800 times below physical rates on trapped-ion hardware, with repeated correction cycles approaching the error rate of two physical CNOTs.
A framework is presented for designing robust and precise effective Hamiltonians by identifying the minimal toggling-frame subspace and the complete set of achievable zeroth-order terms.
citing papers explorer
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Magic states are rarely the best resource to optimize: An analytical tool for qubit resource estimation in concatenated codes
A closed-form resource estimation tool for concatenated quantum error correction reveals that magic-state operations rarely dominate qubit costs, with general optimizations providing orders-of-magnitude larger reductions than magic-specific ones.
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Demonstration of logical qubits and repeated error correction with better-than-physical error rates
Logical error rates in [[7,1,3]] and [[12,2,4]] codes are suppressed 9.8-800 times below physical rates on trapped-ion hardware, with repeated correction cycles approaching the error rate of two physical CNOTs.
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Engineering Precise and Robust Effective Hamiltonians
A framework is presented for designing robust and precise effective Hamiltonians by identifying the minimal toggling-frame subspace and the complete set of achievable zeroth-order terms.