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We present the experimental demonstration of quantum Hamiltonian learning. Using an integrated silicon-photonics quantum simulator with the classical machine learning technique, we successfully learn the Hamiltonian dynamics of a diamond nitrogen-vacancy center's electron ground-state spin.
Quantum Phase Estimation (PE) is a fundamental building block in the framework of Quantum Computing. Accurate estimation of the true eigenphase φ0 of a known eigenstate |φ〉 is fundamental for the implementation of many promising quantum algorithms. The interest in PE is also due to the modest quantum hardware requirements of the Iterative Phase Estimation Algorithm (IPEA) implementation [1], successfully...
We present a new, scalable protocol for solving the eigenvalue problem requiring the measurement of only one qubit. We implement this protocol on a silicon quantum photonic device embedding arbitrary non-compiled controlled unitary operations.
Silicon integrated quantum photonics has recently emerged as a promising approach to realising complex and compact quantum circuits, where entangled states of light are generated and manipulated on-chip to realise applications in sensing, communication and computation. Recent highlights include chip-to-chip quantum communications, programmable quantum circuits, chip-based quantum simulations and routes...
We present the first experimental demonstration of quantum entanglement distribution between silicon integrated photonic chips, linked by a single mode optical fiber. Entanglement states generation, transmission, manipulation and measurement are implemented intra/inter chips.
Chip-scale integrated quantum technologies provide new approaches to the generation, manipulation and detection of quantum states of light, and provide a means to deliver complex and compact quantum photonic circuits for applications in quantum communications, sensing and computation.
Quantum information science aims to harness uniquely quantum mechanical properties to enhance measurement, information and communication technologies, as well as to explore fundamental aspects of quantum physics. Of the various approaches to quantum computing [1], photons are particularly appealing for their low-noise properties and ease of manipulation at the single qubit level [2]. Encoding quantum...
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