Physical Review Letters · 2019 · 271 citations · 44 references
ComputingComputer SciencePhysicsComputational PhysicsQuantum ComputingQuantum MechanicsComputational Quantum MechanicsQuantum ComputationQuantum Hardware ArchitecturesQuantum SimulationCorrelated Noise AnalysisError MitigationError SuppressionQuantum Error MitigationQuantum Error Mitigation AlgorithmsQuantum Noise ModelsSystematic Error MitigationVariational Quantum Simulation
Variational algorithms may enable classically intractable simulations on near‑future quantum computers, but their potential is limited by hardware errors. It is therefore crucial to develop efficient ways to mitigate these errors. Here, we propose a stabilizer‑like method that detects up to 60–80 % of depolarizing errors and is suitable for near‑term quantum hardware. Simulations show that our method can significantly benefit calculations subject to both stochastic and correlated noise, especially when combined with existing error‑mitigation techniques.
Variational algorithms may enable classically intractable simulations on near-future quantum computers. However, their potential is limited by hardware errors. It is therefore crucial to develop efficient ways to mitigate these errors. Here, we propose a stabilizerlike method which enables the detection of up to 60%-80% of depolarizing errors. Our method is suitable for near-term quantum hardware. Simulations show that our method can significantly benefit calculations subject to both stochastic and correlated noise, especially when combined with existing error mitigation techniques.
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