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Multi-Class Quantum Convolutional Neural Networks
The results show that with 4 classes, the performance is slightly lower compared to the classical CNN, while with a higher number of classes, the QCNN outperforms the classical neural network.
Deterministic Algorithms for Compiling Quantum Circuits with Recurrent Patterns
In particular, such patterns appear in quantum circuits that are used to compute the ground state properties of molecular systems using the variational quantum eigensolver (VQE) method together with the RyRz heuristic wavefunction Ansatz.
Quantum Physics Computational Complexity Data Structures and Algorithms
Compiler Design for Distributed Quantum Computing
In distributed quantum computing architectures, with the network and communications functionalities provided by the Quantum Internet, remote quantum processing units (QPUs) can communicate and cooperate for executing computational tasks that single NISQ devices cannot handle by themselves.
Quantum Physics Distributed, Parallel, and Cluster Computing Networking and Internet Architecture
Efficient and Effective Quantum Compiling for Entanglement-based Machine Learning on IBM Q Devices
Quantum compiling means fast, device-aware implementation of quantum algorithms (i. e., quantum circuits, in the quantum circuit model of computation).
Measuring the Complexity of Ultra-Large-Scale Adaptive Systems
Here we propose the design and analysis of ULS systems using measures of complexity, emergence, self-organization, and homeostasis based on information theory.
