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

14 papers

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…

quant-ph2025

Imaginary-time-enhanced feedback-based quantum algorithms for universal ground-state preparation

Thanh Nguyen Van Long, Lan Nguyen Tran, Le Bin Ho

Preparing ground states of strongly correlated quantum systems is a central goal in quantum simulation and optimization. The feedback-based quantum algorithm (FALQON) provides an a…

hep-lat2025

Quantum simulation of strong charge-parity violation and Peccei-Quinn mechanism

Le Bin Ho

Quantum Chromodynamics (QCD) admits a topological term that violates charge-parity () symmetry, yet experiments indicate that is extremely small. To investigate…

quant-ph2025

Exact gradient for general cost functions in variational quantum algorithms

Jesus Urbaneja, Le Bin Ho

We present a unitary-based gradient formulation for variational quantum algorithms (VQAs) that applies to general differentiable cost function defined by a parameterized quantum ci…

quant-ph2025

Statistical analysis of barren plateaus in variational quantum algorithms

Le Bin Ho, Jesus Urbaneja, Sahel Ashhab

We investigate the barren plateau (BP) phenomenon in variational quantum algorithms using a statistical approach. Using Gaussian function models, we identify three distinct types o…

quant-ph2024★ 2 cited

Multi-target quantum compilation algorithm

Vu Tuan Hai, Nguyen Tan Viet, Jesus Urbaneja +3

Quantum compilation is the process of converting a target unitary operation into a trainable unitary represented by a quantum circuit. It has a wide range of applications, includin…

quant-ph2023★ 5 cited

Variational preparation of entangled states on quantum computers

Vu Tuan Hai, Nguyen Tan Viet, Le Bin Ho

We propose a variational approach for preparing entangled quantum states on quantum computers. The methodology involves training a unitary operation to match with a target unitary…

quant-ph2021★ 9 cited

Qsun: an open-source platform towards practical quantum machine learning applications

Chuong Nguyen Quoc, Le Bin Ho, Lan Nguyen Tran +1

Currently, quantum hardware is restrained by noises and qubit numbers. Thus, a quantum virtual machine that simulates operations of a quantum computer on classical computers is a v…