5 papers
On Quantum Learning Advantage Under Symmetries
Tuyen Nguyen, Mária Kieferová, Amira Abbas
Symmetry underlies many of the most effective classical and quantum learning algorithms, yet whether quantum learners can gain a fundamental advantage under symmetry-imposed struct…
An Evaluation of LLMs Inference on Popular Single-board Computers
Tung, Nguyen, Tuyen Nguyen
The growing demand for on-device large language model (LLM) inference is driving interest in deploying lightweight, cost-effective AI solutions on edge hardware. Single-board compu…
QuantumBoost: A lazy, yet fast, quantum algorithm for learning with weak hypotheses
Amira Abbas, Yanlin Chen, Tuyen Nguyen +1
The technique of combining multiple votes to enhance the quality of a decision is the core of boosting algorithms in machine learning. In particular, boosting provably increases de…
Theoretical Guarantees of Variational Quantum Algorithm with Guiding States
Tuyen Nguyen, Mária Kieferová
Machine learning provides a powerful framework for predicting ground-state properties across families of quantum many-body problems, enabling amortized inference and reducing the c…
Quantized Approximate Signal Processing (QASP): Towards Homomorphic Encryption for audio
Tu Duyen Nguyen, Adrien Lesage, Clotilde Cantini +1
Audio and speech data are increasingly used in machine learning applications such as speech recognition, speaker identification, and mental health monitoring. However, the passive…