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Identifying symmetries in quantum dynamics, such as identity or time-reversal invariance, is a crucial challenge with profound …

Quantum neural networks (QNNs) play a pivotal role in addressing complex tasks within quantum machine learning, analogous to classical …

Computing the classical capacity of a noisy quantum channel is crucial for understanding the limits of communication over quantum …

Identifying unknown Hamiltonians from their quantum dynamics is a pivotal challenge in quantum technologies and fundamental physics. In …

Ion traps stand at the forefront of quantum hardware technology, presenting unparalleled benefits for quantum computing, such as …

Efficient estimation of nonlinear functions of quantum states is crucial for various key tasks in quantum computing, such as …

Symmetry plays a crucial role in quantum physics, dictating the behavior and dynamics of physical systems. In this paper, We develop a …

The conflict between trainability and expressibility is a key challenge in variational quantum computing and quantum machine learning. …

Establishing a fully functional quantum internet relies on the efficient allocation of multipartite entangled states, which enables …

Unraveling the secrets of how much nonstabilizerness a quantum dynamic can generate is crucial for harnessing the power of magic …