From the 1 of 10 linked papers with an AI index.
10 papers
Benchmarking loss functions for trainable quantum feature maps
Nguyen Dinh Quyen, Vu Tuan Hai, Quoc Chuong Nguyen +2
The paper evaluates how different loss functions affect the training of quantum feature maps used in quantum machine learning, finding that Log-Likelihood Loss offers stable optimi…
Qimax: Efficient quantum simulation via GPU-accelerated extended stabilizer formalism
Vu Tuan Hai, Bui Cao Doanh, Le Vu Trung Duong +2
Simulating Clifford and near-Clifford circuits using the extended stabilizer formalism has become increasingly popular, particularly in quantum error correction. Compared to the st…
On the Interplay Between Noise, Bell Violation, and Cascade Error Correction in Device-Independent Quantum Key Distribution
Nguyen Duong Hoang Duy, Nguyen Trinh Dong, Vu Tuan Hai +2
Device-Independent Quantum Key Distribution (DIQKD) provides information-theoretic security by relying solely on the violation of Bell inequalities, eliminating the need to trust t…
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…
Advancing quantum process tomography through quantum compilation
Huynh Le Dan Linh, Vu Tuan Hai, Le Bin Ho
Quantum process tomography (QPT) plays a central role in characterizing quantum gates and circuits, diagnosing quantum devices, calibrating hardware, and supporting quantum error c…
A Protocol-Aware P4 Pipeline for MQTT Security and Anomaly Mitigation in Edge IoT Systems
Bui Ngoc Thanh Binh, Pham Hoai Luan, Le Vu Trung Duong +2
MQTT is the dominant lightweight publish--subscribe protocol for IoT deployments, yet edge security remains inadequate. Cloud-based intrusion detection systems add latency that is…