Results 41 to 50 of about 386,203 (296)
Reliable Quantum State Tomography [PDF]
Physical Review Letters, 2012 5 pages + supplemental information (as in the journal version) + additional material about the representation of symmetric states and functions of states (not contained in the journal version)
Christandl Matthias, Renner Renato
openaire +3 more sources
Simple, Reliable, and Noise-Resilient Continuous-Variable Quantum State Tomography with Convex Optimization [PDF]
Physical Review Applied, 2022 Precise reconstruction of unknown quantum states from measurement data, a process commonly called quantum state tomography, is a crucial component in the development of quantum information processing technologies.
Ingrid Strandberg
semanticscholar +1 more source
Variational quantum circuits for quantum state tomography [PDF]
Physical Review A, 2020 Quantum state tomography is a key process in most quantum experiments. In this work, we employ quantum machine learning for state tomography. Given an unknown quantum state, it can be learned by maximizing the fidelity between the output of a variational quantum circuit and this state.
Yong Liu +11 more
openaire +2 more sources
Direct Parameter Estimations from Machine Learning-Enhanced Quantum State Tomography [PDF]
Symmetry, 2022 With the power to find the best fit to arbitrarily complicated symmetry, machine-learning (ML)-enhanced quantum state tomography (QST) has demonstrated its advantages in extracting complete information about the quantum states.
Hsien-Yi Hsieh +6 more
semanticscholar +1 more source
Quantum State Tomography via Nonconvex Riemannian Gradient Descent. [PDF]
Physical Review Letters, 2022 The recovery of an unknown density matrix of large size requires huge computational resources. State-of-the-art performance has recently been achieved with the factored gradient descent (FGD) algorithm and its variants since they are able to mitigate the
Ming-Chien Hsu +4 more
semanticscholar +1 more source
Self-calibrating quantum state tomography [PDF]
New Journal of Physics, 2012 We introduce and experimentally demonstrate a technique for performing quantum state tomography on multiple-qubit states despite incomplete knowledge about the unitary operations used to change the measurement basis. Given unitary operations with unknown rotation angles, our method can be used to reconstruct the density matrix of the state up to local ...
Brańczyk, A. M. +5 more
openaire +3 more sources
Optimal quantum state tomography with noisy gates [PDF]
EPJ Quantum Technology, 2022 Quantum state tomography (QST) represents an essential tool for the characterization, verification, and validation (QCVV) of quantum processors. Only for a few idealized scenarios, there are analytic results for the optimal measurement set for QST. E.g.,
Violeta N. Ivanova-Rohling +2 more
semanticscholar +1 more source
Variational approach to quantum state tomography based on maximal entropy formalism. [PDF]
Physical Chemistry, Chemical Physics - PCCP, 2022 Quantum state tomography is an integral part of quantum computation and offers the starting point for the validation of various quantum devices. One of the central tasks in the field of state tomography is to reconstruct, with high fidelity, the quantum ...
Rishabh Gupta +3 more
semanticscholar +1 more source
Unrolling SVT to Obtain Computationally Efficient SVT for N-Qubit Quantum State Tomography [PDF]
IEEE Transactions on Signal Processing, 2022 Quantum state tomography aims to estimate the state of a quantum mechanical system which is described by a trace one, Hermitian positive semidefinite complex matrix, given a set of measurements of the state. Existing works focus on estimating the density
S. Shanmugam, S. Kalyani
semanticscholar +1 more source
Bidirectional Information Flow Quantum State Tomography [PDF]
Chinese Physics Letters, 2021 The exact reconstruction of many-body quantum systems is one of the major challenges in modern physics, because it is impractical to overcome the exponential complexity problem brought by high-dimensional quantum many-body systems. Recently, machine learning techniques are well used to promote quantum information research and quantum state tomography ...
Huang, Huikang +2 more
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