activity
20202025
most citedFaster Born probability estimation via gate merging and frame optimisation

8 citations · 17 across the 3 of their papers we have counts for

collaborators

6 papers

quant-ph2025★ 1 cited

More entropy from shorter experiments using polytope approximations to the quantum set

Hyejung H. Jee, Florian J. Curchod, Mafalda L. Almeida

We introduce a systematic method for constructing polytope approximations to the quantum set in a variety of device-independent quantum random number generation (DI-QRNG) protocols…

quant-ph2022★ 8 cited

Faster Born probability estimation via gate merging and frame optimisation

Nikolaos Koukoulekidis, Hyukjoon Kwon, Hyejung H. Jee +2

Outcome probability estimation via classical methods is an important task for validating quantum computing devices. Outcome probabilities of any quantum circuit can be estimated us…

quant-ph2021★ 8 cited

Catalytic Gaussian thermal operations

Benjamin Yadin, Hyejung H. Jee, Carlo Sparaciari +2

We examine the problem of state transformations in the framework of Gaussian thermal resource theory in the presence of catalysts. To this end, we introduce an expedient parametris…

quant-ph2020

Resource distillation in convex Gaussian resource theories

Hyejung H. Jee, Carlo Sparaciari, Mario Berta

It is known that distillation in continuous variable resource theories is impossible when restricted to Gaussian states and operations. To overcome this limitation, we enlarge the…

quant-ph2020

Quasi-polynomial time algorithms for free quantum games in bounded dimension

Hyejung H. Jee, Carlo Sparaciari, Omar Fawzi +1

We give a converging semidefinite programming hierarchy of outer approximations for the set of quantum correlations of fixed dimension and derive analytical bounds on the convergen…

cond-mat.mtrl-sci2020

Electron spin relaxations of phosphorus donors in bulk silicon under large electric field

Daniel K. Park, Sejun Park, Hyejung Jee +1

Modulation of donor electron wavefunction via electric fields is vital to quantum computing architectures based on donor spins in silicon. For practical and scalable applications,…