In-situ characterization of quantum devices with error correction
arXiv:1405.5656
Abstract
Syndrome measurements made in quantum error correction contain more information than is typically used. We show that the statistics of data from syndrome measurements can be used to do the following: (i) estimation of parameters of an error channel, including the ability correct away the invertible part of the error channel, once it is estimated; (ii) hypothesis testing (or model selection) to distinguish error channels, e.g., to determine if the errors are correlated. The unifying theme is to make use of all of the information in the statistics of the data collected from syndrome measurements using machine learning and control algorithms.
arXiv comment16 pages, 6 figures
References in corpus (10)
- Mixed State Entanglement and Quantum Error Correction
- A Class of Quantum Error-Correcting Codes Saturating the Quantum Hamming Bound
- Direct Fidelity Estimation from Few Pauli Measurements
- Practical characterization of quantum devices without tomography
- Self-Consistent Quantum Process Tomography
- Quantum Error Correction for Metrology
- Increasing sensing resolution with error correction
- Quantum Hamiltonian Learning Using Imperfect Quantum Resources
- Characterization of a qubit Hamiltonian using adaptive measurements in a fixed basis
- Error models in quantum computation: an application of model selection
Cited by in corpus (13)
- Using Recurrent Neural Networks to Optimize Dynamical Decoupling for Quantum Memory
- Analysing correlated noise on the surface code using adaptive decoding algorithms
- Adaptive quantum computation in changing environments using projective simulation
- Scalable Neural Network Decoders for Higher Dimensional Quantum Codes
- Accelerated Randomized Benchmarking
- Machine learning \& artificial intelligence in the quantum domain
- Learning time-dependent noise to reduce logical errors: Real time error rate estimation in quantum error correction
- Pauli channels can be estimated from syndrome measurements in quantum error correction
- Near-Hashing-Bound Multiple-Rate Quantum Turbo Short-Block Codes
- Estimation of coherent error sources from stabilizer measurements
- Optimal noise estimation from syndrome statistics of quantum codes
- Direct Characterization of Quantum Dynamics with Noisy Ancilla
- In-situ Adaptive Encoding for Asymmetric Quantum Error Correcting Codes