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NSF QLCI: Hybrid Quantum Architectures and Networks

One way quantum information science and engineering research has the potential to transform society is through the development of quantum computers that can complete certain critical tasks faster than classical computers. Such devices could also provide new applications inaccessible to conventional technologies. For example, a large-scale quantum computer could simulate the properties of energy-harvesting molecules and optimize logistics such as nurse scheduling more quickly and at scales currently unapproachable by supercomputers. However, state-of-the-art quantum devices are too small and lack the features needed to fully realize this promise. Researchers and companies world-wide are pursuing approaches for scaling-up quantum processors using a single core quantum technology. While there have been significant achievements, the pathway to a quantum computer or information network that can outperform classical technologies and provide useful solutions is unknown. The NSF QLCI Hybrid Quantum Architectures and Networks tackles the challenge of scaling quantum processors by pursuing an alternative paradigm: modular quantum processing, and hybrid architectures that involve different types of qubits.