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Entangling Intelligence: AI-Quantum Crossovers and Perspectives
Z Chen, D Luo - 2024 IEEE 6th International Conference on …, 2024 - ieeexplore.ieee.org
The intersection of artificial intelligence (AI) and quantum physics has sparked significant
advancements in both fields. This paper first reviews the application of AI techniques …
advancements in both fields. This paper first reviews the application of AI techniques …
DoTA: Weight-Decomposed Tensor Adaptation for Large Language Models
Low-rank adaptation (LoRA) reduces the computational and memory demands of fine-tuning
large language models (LLMs) by approximating updates with low-rank matrices. However …
large language models (LLMs) by approximating updates with low-rank matrices. However …
Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning
I Kankeu, SG Fritsch, G Schönhoff, E Mounzer… - arxiv preprint arxiv …, 2025 - arxiv.org
Over the last decade, representation learning, which embeds complex information extracted
from large amounts of data into dense vector spaces, has emerged as a key technique in …
from large amounts of data into dense vector spaces, has emerged as a key technique in …
Quantum Implicit Neural Compression
Signal compression based on implicit neural representation (INR) is an emerging technique
to represent multimedia signals with a small number of bits. While INR-based signal …
to represent multimedia signals with a small number of bits. While INR-based signal …