Quantum Resource

Quantum resource management focuses on efficiently utilizing the limited and inherently probabilistic resources of quantum computers, aiming to optimize both hardware and algorithmic performance. Current research emphasizes developing robust and secure quantum algorithms, particularly within quantum machine learning (QML), often employing variational quantum circuits and ensemble methods to mitigate vulnerabilities in cloud-based quantum computing. This field is crucial for advancing quantum computing, enabling the development of practical quantum applications while addressing critical challenges like resource scheduling and the efficient training of large quantum models.