![]() ![]() We obtain an order-of-magnitude error reduction for a ground-state energy problem on 16 qubits in an IBMQ quantum computer and on a 64-qubit noisy simulator. Hadamard-free circuits expose the structure of the clifford group. We apply single logical qubit Clifford gates to states encoded in the 7,1,3 quantum error correction code in a nonequiprobable Pauli matrix error. We analyze the performance of our method versus the number of qubits, circuit depth, and number of non-Clifford gates. Operator quantum error-correcting subsystems for self-correcting quantum memories. Fitting a linear ansatz to this data then allows for the prediction of noise-free observables for arbitrary circuits. The method generates training data $\$ are noisy and noiseless observables respectively. Gaussian elimination can be performed on them) in a number of different ways, and considering the different approaches provides useful. For this purpose, we propose a novel, scalable error-mitigation method that applies to gate-based quantum computers. For the basis of the tableaux methods first read (Gottesman, 1998) followed by the more efficient approach described in (Aaronson and Gottesman, 2004). Download a PDF of the paper titled Error mitigation with Clifford quantum-circuit data, by Piotr Czarnik and 3 other authors Download PDF Abstract:Achieving near-term quantum advantage will require accurate estimation of quantum observables despite significant hardware noise.
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