8 papers
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…
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…
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…
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…