28 citations · 30 across the 4 of their papers we have counts for
11 papers
Repeated Extraction of Scrambled Quantum Data: Sustainability of the Hayden-Preskill Type Protocols
Seok Hyung Lie, Yong Siah Teo, Hyunseok Jeong
We introduce and study the problem of scrambler hacking, which is the procedure of quantum information extraction from and installation on a quantum scrambler given only partial ac…
Universal compressive tomography in the time-frequency domain
J. Gil-Lopez, Y. S. Teo, S. De +4
We implement a compressive quantum state tomography capable of reconstructing any arbitrary low-rank spectral-temporal optical signal with extremely few measurement settings and wi…
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…
Highly accurate Gaussian process tomography with geometrical sets of coherent states
Yong Siah Teo, Kimin Park, Seongwook Shin +2
We propose a practical strategy for choosing sets of input coherent states that are near-optimal for reconstructing single-mode Gaussian quantum processes with output-state heterod…
Compressively certifying quantum measurements
I. Gianani, Y. S. Teo, V. Cimini +4
We introduce a reliable compressive procedure to uniquely characterize any given low-rank quantum measurement using a minimal set of probe states that is based solely on data colle…
Universal compressive characterization of quantum dynamics
Yosep Kim, Yong Siah Teo, Daekun Ahn +6
Recent quantum technologies utilize complex multidimensional processes that govern the dynamics of quantum systems. We develop an adaptive diagonal-element-probing compression tech…