Testing platform-independent quantum error mitigation on noisy quantum computers

Abstract

We apply quantum error mitigation techniques to a variety of benchmark problems and quantum computers to evaluate the performance of quantum error mitigation in practice. To do so, we define an empirically motivated, resource-normalized metric of the improvement of error mitigation which we call the improvement factor, and calculate this metric for each experiment we perform. The experiments we perform consist of zero-noise extrapolation and probabilistic error cancellation applied to two benchmark problems run on IBM, IonQ, and Rigetti quantum computers, as well as noisy quantum computer simulators. Our results show that error mitigation is on average more beneficial than no error mitigation - even when normalized by the additional resources used - but also emphasize that the performance of quantum error mitigation depends on the underlying computer.

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Cited by in corpus (8)

• Zero noise extrapolation on logical qubits by scaling the error correction code distance
• Enabling High Performance Debugging for Variational Quantum Algorithms using Compressed Sensing
• Quantum error cancellation in photonic systems -- undoing photon losses
• Quantum error mitigation by layerwise Richardson extrapolation
• Quantum error mitigation for rotation symmetric bosonic codes with symmetry expansion
• Channel Attention for Quantum Convolutional Neural Networks
• Error-Mitigated Quantum Routing on Noisy Devices
• Describing Trotterized Time Evolutions on Noisy Quantum Computers via Static Effective Lindbladians