Junseo Lee

Mutual information maximizing quantum generative adversarial networks

2023 · arXiv (Cornell University)

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 quantum advantages over classical machine learning in various domains. However, QGANs …

Safe CoR: A Dual-Expert Approach to Integrating Imitation Learning and Safe Reinforcement Learning Using Constraint Rewards

2024 · arXiv (Cornell University)

In the realm of autonomous agents, ensuring safety and reliability in complex and dynamic environments remains a paramount challenge. Safe reinforcement learning addresses these concerns by introducing safety constraints, but still faces challenges in navigating …

Resource-efficient algorithm for estimating the trace of quantum state powers

2025 · Quantum

Estimating the trace of quantum state powers, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mtext>Tr</mml:mtext><mml:mo stretchy="false">(</mml:mo><mml:msup><mml:mi>&amp;#x03C1;</mml:mi><mml:mi>k</mml:mi></mml:msup><mml:mo stretchy="false">)</mml:mo></mml:math>, for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>k</mml:mi></mml:math> identical quantum states is a fundamental task with numerous applications in quantum information processing, including nonlinear function estimation of quantum states …

Bounding quantum uncommon information with quantum neural estimators

2025 · arXiv (Cornell University)

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 the minimum communication cost required to exchange the messages. …