Adaptive quantum state tomography with neural networks
نویسندگان
چکیده
Abstract Current algorithms for quantum state tomography (QST) are costly both on the experimental front, requiring measurement of many copies state, and classical computational needing a long time to analyze gathered data. Here, we introduce neural adaptive (NAQT), fast, flexible machine-learning-based algorithm QST that adapts measurements provides orders magnitude faster processing while retaining state-of-the-art reconstruction accuracy. As in other schemes, adaptation makes use information from previous measured perform targeted sensing next copy, maximizing copy. Our NAQT approach allows rapid seamless integration statistical inference, using neural-network replacement standard Bayes’ update, obtain best estimate state. algorithm, which falls into machine learning subfield “meta-learning” (in effect “learning learn” about states), does not require any ansatz form be estimated. Despite this generality, it can retrained within hours single laptop two-qubit situation, suggests feasible time-cost when extended larger systems potential speed-ups if provided with additional structure, such as ansatz.
منابع مشابه
Adaptive Target State Estimation Using Neural Networks
Development of an adaptive target state estimation algorithm for use with advanced missile guidance laws is presented. The target state estimator employs a linear neural network as the decisionmaking element in a nine-state dynamic model of the target. A Kalman filtering algorithm is used to estimate the neural network weights and the target states. The estimator performance is evaluated in a p...
متن کاملPractical adaptive quantum tomography
We introduce a fast and accurate heuristic for adaptive tomography that addressesmany of the limitations of priormethods. Previous approaches were either too computationally intensive or tailored to handle special cases such as single qubits or pure states. By contrast, our approach combines the efficiency of online optimizationwith generally applicable andwell-motivated data-processing techniq...
متن کاملEfficient quantum state tomography.
Quantum state tomography--deducing quantum states from measured data--is the gold standard for verification and benchmarking of quantum devices. It has been realized in systems with few components, but for larger systems it becomes unfeasible because the number of measurements and the amount of computation required to process them grows exponentially in the system size. Here, we present two tom...
متن کاملReliable quantum state tomography.
Quantum state tomography is the task of inferring the state of a quantum system by appropriate measurements. Since the frequency distributions of the outcomes of any finite number of measurements will generally deviate from their asymptotic limits, the estimates computed by standard methods do not in general coincide with the true state and, therefore, have no operational significance unless th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: npj Quantum Information
سال: 2021
ISSN: ['2056-6387']
DOI: https://doi.org/10.1038/s41534-021-00436-9