The Subjective Nature of Observation and Classification in Quantum Systems: An Epistemic Framework
Observation is inherently subjective, even in classical systems, and integrating the observer as a quantum system within an epistemic framework offers a probabilistic approach to understanding classification in quantum systems.
Quantum Parameter Adaptation (QPA): Using Quantum Circuits for Parameter Reduction in Large Language Model Fine-Tuning
Quantum Parameter Adaptation (QPA) leverages quantum circuits to significantly reduce the number of trainable parameters in parameter-efficient fine-tuning (PEFT) methods for large language models (LLMs) while maintaining or even improving performance in text generation tasks.
Linear Regression with Quantum Annealing Using a Bosonic System
This paper proposes a novel method for performing linear regression using quantum annealing with continuous variables, leveraging a bosonic system to overcome the limitations of qubit-based approaches and achieve higher accuracy without increasing qubit requirements.
© 2024 by Linnk AI