Investigating the variance increase of readout error mitigation through
classical bit-flip correction on IBM and Rigetti quantum computers
- URL: http://arxiv.org/abs/2111.05026v3
- Date: Mon, 29 Nov 2021 23:43:57 GMT
- Title: Investigating the variance increase of readout error mitigation through
classical bit-flip correction on IBM and Rigetti quantum computers
- Authors: Constantia Alexandrou, Lena Funcke, Tobias Hartung, Karl Jansen,
Stefan K\"uhn, Georgios Polykratis, Paolo Stornati, Xiaoyang Wang, Tom Weber
- Abstract summary: Readout errors are among the most dominant errors on current noisy intermediate-scale quantum devices.
In this talk, we compare the performance of this method for IBM's and Rigetti's quantum devices.
We derive a new expression for the variance of the mitigated Pauli operators in terms of the corrected expectation values and the noisy variances.
- Score: 2.619913272279451
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Readout errors are among the most dominant errors on current noisy
intermediate-scale quantum devices. Recently, an efficient and scaleable method
for mitigating such errors has been developed, based on classical bit-flip
correction. In this talk, we compare the performance of this method for IBM's
and Rigetti's quantum devices, demonstrating how the method improves the noisy
measurements of observables obtained on the quantum hardware. Moreover, we
examine the variance amplification to the data after applying of our mitigation
procedure, which is common to all mitigation strategies. We derive a new
expression for the variance of the mitigated Pauli operators in terms of the
corrected expectation values and the noisy variances.Our hardware results show
good agreement with the theoretical prediction, and we demonstrate that the
increase of the variance due to the mitigation procedure is only moderate.
Related papers
- Near-Term Distributed Quantum Computation using Mean-Field Corrections
and Auxiliary Qubits [77.04894470683776]
We propose near-term distributed quantum computing that involve limited information transfer and conservative entanglement production.
We build upon these concepts to produce an approximate circuit-cutting technique for the fragmented pre-training of variational quantum algorithms.
arXiv Detail & Related papers (2023-09-11T18:00:00Z) - The Accuracy vs. Sampling Overhead Trade-off in Quantum Error Mitigation
Using Monte Carlo-Based Channel Inversion [84.66087478797475]
Quantum error mitigation (QEM) is a class of promising techniques for reducing the computational error of variational quantum algorithms.
We consider a practical channel inversion strategy based on Monte Carlo sampling, which introduces additional computational error.
We show that when the computational error is small compared to the dynamic range of the error-free results, it scales with the square root of the number of gates.
arXiv Detail & Related papers (2022-01-20T00:05:01Z) - Measuring NISQ Gate-Based Qubit Stability Using a 1+1 Field Theory and
Cycle Benchmarking [50.8020641352841]
We study coherent errors on a quantum hardware platform using a transverse field Ising model Hamiltonian as a sample user application.
We identify inter-day and intra-day qubit calibration drift and the impacts of quantum circuit placement on groups of qubits in different physical locations on the processor.
This paper also discusses how these measurements can provide a better understanding of these types of errors and how they may improve efforts to validate the accuracy of quantum computations.
arXiv Detail & Related papers (2022-01-08T23:12:55Z) - Fundamental limits of quantum error mitigation [0.0]
We show how error-mitigation algorithms can reduce the computation error as a function of their sampling overhead.
Our results provide a means to identify when a given quantum error-mitigation strategy is optimal and when there is potential room for improvement.
arXiv Detail & Related papers (2021-09-09T17:56:14Z) - Efficient diagnostics for quantum error correction [0.0]
We present a scalable experimental approach based on Pauli error reconstruction to predict the performance of codes.
Numerical evidence demonstrates that our method significantly outperforms predictions based on standard error metrics for various error models.
arXiv Detail & Related papers (2021-08-24T16:28:29Z) - Enhancing quantum models of stochastic processes with error mitigation [0.0]
We bridge the gap between theoretical quantum models and practical use with the inclusion of error mitigation methods.
It is observed that error mitigation is successful in improving the resultant expectation values.
While our results indicate that error mitigation work, we show that its methodology is ultimately constrained by hardware limitations in these quantum computers.
arXiv Detail & Related papers (2021-05-13T17:45:34Z) - Crosstalk Suppression for Fault-tolerant Quantum Error Correction with
Trapped Ions [62.997667081978825]
We present a study of crosstalk errors in a quantum-computing architecture based on a single string of ions confined by a radio-frequency trap, and manipulated by individually-addressed laser beams.
This type of errors affects spectator qubits that, ideally, should remain unaltered during the application of single- and two-qubit quantum gates addressed at a different set of active qubits.
We microscopically model crosstalk errors from first principles and present a detailed study showing the importance of using a coherent vs incoherent error modelling and, moreover, discuss strategies to actively suppress this crosstalk at the gate level.
arXiv Detail & Related papers (2020-12-21T14:20:40Z) - Assessment of weak-coupling approximations on a driven two-level system
under dissipation [58.720142291102135]
We study a driven qubit through the numerically exact and non-perturbative method known as the Liouville-von equation with dissipation.
We propose a metric that may be used in experiments to map the regime of validity of the Lindblad equation in predicting the steady state of the driven qubit.
arXiv Detail & Related papers (2020-11-11T22:45:57Z) - A Bayesian Approach for Characterizing and Mitigating Gate and
Measurement Errors [9.59731214999568]
We use a Bayesian inference approach to identify parameters such as gate and readout error rates.
By characterizing the device errors in this way, we can further improve the accuracy of quantum error mitigation.
arXiv Detail & Related papers (2020-10-19T03:27:28Z) - Measurement Error Mitigation in Quantum Computers Through Classical
Bit-Flip Correction [1.6872254218310017]
We develop a classical bit-flip correction method to mitigate measurement errors on quantum computers.
This method can be applied to any operator, any number of qubits, and any realistic bit-flip probability.
arXiv Detail & Related papers (2020-07-07T17:52:12Z) - Scalable quantum processor noise characterization [57.57666052437813]
We present a scalable way to construct approximate MFMs for many-qubit devices based on cumulant expansion.
Our method can also be used to characterize various types of correlation error.
arXiv Detail & Related papers (2020-06-02T17:39:42Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.