activity
20212026
most citedQsun: an open-source platform towards practical quantum machine learning applications

9 citations · 16 across the 12 of their papers we have counts for

collaborators
Showing 2026 · quant-phShow all

7 papers · 2 filters

quant-ph2026

Quantum Darwinism through apparatus-mediated environmental recording

Tran P. H Don, Lan Nguyen Tran, Le Bin Ho

Quantum Darwinism explains classical objectivity through redundant environmental records of a system's pointer states. We show that these records can be established through an inte…

quant-ph2026

Qmes: Quantum Meta-Learning for Encoding Selection in Quantum Kernel Methods

Dao Duy Tung, Quoc Chuong Nguyen, Vu Tuan Hai +2

Selecting an effective encoding quantum circuit is a key challenge in quantum kernel methods because different feature maps can lead to different performance. Conventional methods…

quant-ph2026

Multiparameter sensing of axion dark matter with superconducting-qubit networks

Le Bin Ho

We propose a quantum sensor network for direct detection of quantum chromodynamics (QCD) axion dark matter using entangled superconducting qubits. In the presence of a static magne…

quant-ph2026

Analytic correspondence between multipartite entanglement and quantum phase transitions

Huynh Le Dan Linh, Vu Tuan Hai, Le Bin Ho

We derive an analytic correspondence between multipartite concentratable entanglement (CE) and quantum phase transitions in one-dimensional quantum spin systems. We prove that CE s…

quant-ph2026

Benchmarking loss functions for trainable quantum feature maps

Nguyen Dinh Quyen, Vu Tuan Hai, Quoc Chuong Nguyen +2

Many quantum machine learning models employ quantum feature maps to encode classical data into quantum states. While fixed feature maps often lack sufficient expressivity for compl…

quant-ph2026

Measurement Geometry as a Resource for Certifying Network Nonlocality

Leon Adachi, Le Bin Ho

Quantum networks can exhibit nonclassical correlations that cannot be explained by classical models with independent sources. While the role of entanglement is well understood, the…

quant-ph2026

Towards Automated Selection of Quantum Encoding Circuits via Meta-Learning

Dao Duy Tung, Nguyen Quoc Chuong, Vu Tuan Hai +2

In recent years, quantum kernel methods have shown promising applications on near-term quantum devices. However, selecting an appropriate encoding circuit for a given dataset requi…