40 citations · 69 across the 3 of their papers we have counts for
7 papers · 1 filter
Benchmarking quantum tomography completeness and fidelity with machine learning
Yong Siah Teo, Seongwook Shin, Hyunseok Jeong +8
We train convolutional neural networks to predict whether or not a set of measurements is informationally complete to uniquely reconstruct any given quantum state with no prior inf…
Variational Simulation of Schwinger's Hamiltonian with Polarisation Qubits
O. V. Borzenkova, G. I. Struchalin, A. S. Kardashin +5
The numerical emulation of quantum physics and quantum chemistry often involves an intractable number of degrees of freedom and admits no known approximation in general form. In pr…
Experimental Estimation of Quantum State Properties from Classical Shadows
G. I. Struchalin, Ya. A. Zagorovskii, E. V. Kovlakov +2
Full quantum tomography of high-dimensional quantum systems is experimentally infeasible due to the exponential scaling of the number of required measurements on the number of qubi…
Experimental adaptive quantum state tomography based on rank-preserving transformations
A. D. Moiseevskiy, G. I. Struchalin, S. S. Straupe +1
Quantum tomography is a process of quantum state reconstruction using data from multiple measurements. An essential goal for a quantum tomography algorithm is to find measurements…
Improved Heralded Schemes to Generate Entangled States From Single Photons
F. V. Gubarev, I. V. Dyakonov, M. Yu. Saygin +3
We present a novel semi-analytical methodology to construct optimal linear optical circuits for heralded production of 3-photon GHZ and 2-photon Bell states. We provide a detailed…
Objective Compressive Quantum Process Tomography
Y. S. Teo, G. I. Struchalin, E. V. Kovlakov +6
We present a compressive quantum process tomography scheme that fully characterizes any rank-deficient completely-positive process with no a priori information about the process ap…