Quantum computation with universal error mitigation on superconducting quantum processor

Abstract

Medium-scale quantum devices that integrate about hundreds of physical qubits are likely to be developed in the near future. However, such devices will lack the resources for realizing quantum fault tolerance. Therefore, the main challenge of exploring the advantage of quantum computation is to minimize the impact of device and control imperfections without encoding. Quantum error mitigation is a solution satisfying the requirement. Here, we demonstrate an error mitigation protocol based on gate set tomography and quasiprobability decomposition. One- and two-qubit circuits are tested on a superconducting device, and computation errors are successfully suppressed. Because this protocol is universal for digital quantum computers and algorithms computing expected values, our results suggest that error mitigation can be an essential component of near-future quantum computation.

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Cited by in corpus (55)

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• Gate Set Tomography
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• Model-free readout-error mitigation for quantum expectation values
• Fundamental limits of quantum error mitigation
• Mitigating depolarizing noise on quantum computers with noise-estimation circuits
• Learning Quantum Systems
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• Error-Mitigated Quantum Gates Exceeding Physical Fidelities in a Trapped-Ion System
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• Calculation of the Green's function on near-term quantum computers
• Generalized quantum subspace expansion
• Probing quantum processor performance with pyGSTi
• Optimal resource cost for error mitigation
• Neural Error Mitigation of Near-Term Quantum Simulations
• Error-Mitigated Quantum Metrology via Virtual Purification
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• Variational quantum eigensolver for the Heisenberg antiferromagnet on the kagome lattice
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• Quantum Poker A game for quantum computers suitable for benchmarking error mitigation techniques on NISQ devices
• Error statistics and scalability of quantum error mitigation formulas
• Quantum readout error mitigation via deep learning
• Efficiently improving the performance of noisy quantum computers
• Compressive gate set tomography
• Boltzmann machine learning with a variational quantum algorithm
• Constraints on magic state protocols from the statistical mechanics of Wigner negativity
• Testing platform-independent quantum error mitigation on noisy quantum computers
• Sampling Overhead Analysis of Quantum Error Mitigation: Uncoded vs. Coded Systems
• Quantum Error Mitigation Relying on Permutation Filtering
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• Variational Quantum-Neural Hybrid Error Mitigation
• Noise-Resistant Quantum State Compression Readout
• Virtual distillation with noise dilution
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• Calculating the Green's function of two-site Fermionic Hubbard model in a photonic system
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• Perturbative tomography of small errors in quantum gates
• Optimized fermionic SWAP networks with equivalent circuit averaging for QAOA