Calibration of Syndrome Measurements in a Single Experiment

• URL: http://arxiv.org/abs/2305.03004v1
• Date: Thu, 4 May 2023 17:21:18 GMT
• Title: Calibration of Syndrome Measurements in a Single Experiment
• Authors: Christian Wimmer, Jochen Szangolies, Michael Epping
• Abstract summary: Methods of quantum error correction are starting to be beneficial on current quantum computing hardware. We present a calibration method which allows to take the additional noise into account. We give examples of how to apply this method to noise estimation and error correction.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: Methods of quantum error correction are starting to be beneficial on current quantum computing hardware. Typically this requires to perform measurements which yield information about the occurred errors on the system. However, these syndrome measurements themselves introduce noise to the system. A full characterization of the measurements is very costly. Here we present a calibration method which allows to take the additional noise into account. Under reasonable assumptions we require only a single additional experiment. We give examples of how to apply this method to noise estimation and error correction. Finally we discuss the results of experiments carried out on an IBM quantum computer.

Related papers

• Validation tests of Gaussian boson samplers with photon-number resolving detectors [44.99833362998488]
  We apply phase-space simulation methods to partially verify recent experiments on Gaussian boson sampling (GBS) implementing photon-number resolving (PNR) detectors. We show that the data as a whole shows discrepancies with theoretical predictions for perfect squeezing. We suggest that such validation tests could form the basis of feedback methods to improve GBS quantum computer experiments.
  arXiv  Detail & Related papers  (2024-11-18T01:41:22Z)
• Leveraging junk information to enhance the quantum error mitigation [8.049186254119121]
  We introduce a quantum error mitigation method named Self-Trained Quantum Noise Filter (SQNF) Our numerical results demonstrate that the proposed method can significantly reduce the infidelity of population distributions.
  arXiv  Detail & Related papers  (2024-02-16T07:01:18Z)
• Validation tests of GBS quantum computers give evidence for quantum advantage with a decoherent target [62.997667081978825]
  We use positive-P phase-space simulations of grouped count probabilities as a fingerprint for verifying multi-mode data. We show how one can disprove faked data, and apply this to a classical count algorithm.
  arXiv  Detail & Related papers  (2022-11-07T12:00:45Z)
• Detecting and Eliminating Quantum Noise of Quantum Measurements [3.871198861387443]
  We first detect and then eliminate quantum noise so that the classical noise assumption is satisfied. We demonstrate the feasibility of the two-stage procedure numerically on Baidu Quantum Platform. Remarkably, the results show that quantum noise in measurement devices is significantly suppressed, and the quantum accuracy is substantially improved.
  arXiv  Detail & Related papers  (2022-06-28T03:58:10Z)
• 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)
• Experimentally determining the incompatibility of two qubit measurements [55.41644538483948]
  We describe and realize an experimental procedure for assessing the incompatibility of two qubit measurements. We demonstrate this fact in an optical setup, where the qubit states are encoded into the photons' polarization degrees of freedom.
  arXiv  Detail & Related papers  (2021-12-15T19:01:44Z)
• Realizing Repeated Quantum Error Correction in a Distance-Three Surface Code [42.394110572265376]
  We demonstrate quantum error correction using the surface code, which is known for its exceptionally high tolerance to errors. In an error correction cycle taking only $1.1,mu$s, we demonstrate the preservation of four cardinal states of the logical qubit.
  arXiv  Detail & Related papers  (2021-12-07T13:58:44Z)
• Characterizing quantum instruments: from non-demolition measurements to quantum error correction [48.43720700248091]
  In quantum information processing quantum operations are often processed alongside measurements which result in classical data. Non-unitary dynamical processes can take place on the system, for which common quantum channel descriptions fail to describe the time evolution. Quantum measurements are correctly treated by means of so-called quantum instruments capturing both classical outputs and post-measurement quantum states.
  arXiv  Detail & Related papers  (2021-10-13T18:00:13Z)
• Quantum tomography of noisy ion-based qudits [0.0]
  We show that it is possible to construct a quantum measurement protocol that contains no more than a single quantum operation in each measurement circuit. The measures described can significantly improve the accuracy of quantum tomography of real ion-based qudits.
  arXiv  Detail & Related papers  (2020-11-09T04:10:32Z)
• 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)
• Mitigating measurement errors in multi-qubit experiments [2.7015517125109247]
  We show how to mitigate measurement errors by a classical post-processing of the measured outcomes. Two error mitigation schemes are presented based on tensor product and correlated Markovian noise models.
  arXiv  Detail & Related papers  (2020-06-24T20:56:18Z)

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.