18 citations · 26 across the 13 of their papers we have counts for
14 papers · 1 filter
Hamiltonian locality testing and certification do not achieve the Heisenberg limit
Francisco Escudero Gutiérrez, Junseo Lee, Sebastian Zur
We establish lower bounds for Hamiltonian property testing with access to the time-evolution operator but not its inverse. Each experiment may query the time-evolution operator mul…
Heisenberg-limited Hamiltonian learning without short-time control
Myeongjin Shin, Junseo Lee, Changhun Oh
Characterizing quantum systems by learning their underlying Hamiltonians is a central task in quantum information science. While recent algorithmic advances have achieved near-opti…
Certifying and learning local quantum Hamiltonians
Andreas Bluhm, Matthias C. Caro, Francisco Escudero Gutiérrez +4
In this work, we study the problems of certifying and learning quantum -local Hamiltonians, for a constant . Our main contributions are as follows: - Certification of Hamilto…
Optimal certification of constant-local Hamiltonians
Junseo Lee, Myeongjin Shin
We study the problem of certifying local Hamiltonians from real-time access to their dynamics. Given oracle access to for an unknown -local Hamiltonian and a full…
Collapses in quantum-classical probabilistically checkable proofs and the quantum polynomial hierarchy
Kartik Anand, Kabgyun Jeong, Junseo Lee
We investigate the structure of quantum proof systems by establishing collapse results that reveal simplifications in their complexity landscape. By extending classical theorems su…
Bounding quantum uncommon information with quantum neural estimators
Donghwa Ji, Junseo Lee, Myeongjin Shin +2
In classical information theory, uncommon information refers to the amount of information that is not shared between two messages, and it admits an operational interpretation as th…
Resource-efficient algorithm for estimating the trace of quantum state powers
Myeongjin Shin, Junseo Lee, Seungwoo Lee +1
Estimating the trace of quantum state powers, , for identical quantum states is a fundamental task with numerous applications in quantum information processing,…
Disentangling quantum neural networks for unified estimation of quantum entropies and distance measures
Myeongjin Shin, Seungwoo Lee, Junseo Lee +4
The estimation of quantum entropies and distance measures, such as von Neumann entropy, Rényi entropy, Tsallis entropy, trace distance, and fidelity-induced distances such as the B…
Weighted -Rényi Entropy Power Inequality: Information Theory to Quantum Shannon Theory
Junseo Lee, Hyeonjun Yeo, Kabgyun Jeong
We study the -Rényi entropy power inequality with a weight factor on two independent continuous random variables and . The extension essentially relies on a modulatio…
Mutual information maximizing quantum generative adversarial networks
Mingyu Lee, Myeongjin Shin, Junseo Lee +1
One of the most promising applications in the era of Noisy Intermediate-Scale Quantum (NISQ) computing is quantum generative adversarial networks (QGANs), which offer significant q…
Estimating Quantum Mutual Information Through a Quantum Neural Network
Myeongjin Shin, Junseo Lee, Kabgyun Jeong
We propose a method of quantum machine learning called quantum mutual information neural estimation (QMINE) for estimating von Neumann entropy and quantum mutual information, which…
Enhanced Scalability in Assessing Quantum Integer Factorization Performance
Junseo Lee
With the advancement of quantum technologies, there is a potential threat to traditional encryption systems based on integer factorization. Therefore, developing techniques for acc…
Quantum Rényi Entropy Functionals for Bosonic Gaussian Systems
Junseo Lee, Kabgyun Jeong
In this study, the quantum Rényi entropy power inequality of order and power is introduced as a quantum analog of the classical Rényi- entropy power inequality. To der…
High-dimensional private quantum channels and regular polytopes
Junseo Lee, Kabgyun Jeong
As the quantum analog of the classical one-time pad, the private quantum channel (PQC) plays a fundamental role in the construction of the maximally mixed state (from any input qua…