Model-free readout-error mitigation for quantum expectation values

By Ewout van den Berg, Z. Minev, Kristan Temme. Physical Review A, 2020

212 citations recorded by the source corpus.

Measurements on current quantum-hardware are subject to hardware imperfections that lead to readout-errors. These errors manifest themselves as a bias in quantum expectation values. Here, we propose a method to remove this bias from the expectation values of Pauli observables. No specific form of the noise is assumed, other than requiring that it is `weak'. We apply a method that forces the bias in the expectation value to appear as a multiplicative factor irrespective of the actual noise process. This factor can be measured directly and removed, at the cost of an increase in the sampling complexity for the observable. A bound relating the error in the expectation value to the sample complexity is derived.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/446421b65ce6f22ab5e97da773c7c1e859a13b8b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Abhinav Kandala
2. Z. Minev
3. Ewout van den Berg
4. Kristan Temme
5. Suguru Endo
6. Patrick J. Coles
7. Jay M. Gambetta
8. Lukasz Cincio

In Electrical and Electronic Engineering

1. Abhinav Kandala
2. Z. Minev
3. Ewout van den Berg
4. Kristan Temme

Citations in the corpus

• The randomized measurement toolbox (2022, unknown): “29,30,147 ).”
• Probabilistic error cancellation with sparse Pauli–Lindblad models on noisy quantum processors (2022, methodology): “Consequently, the readout-error correction achieved by dividing with the appropriate zero-depth fidelity [33] can only remove the SPAM errors completely when the initial state is exactly the ground state | 0 (cid:105) .”