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07-14
2023
Quantum AI: From near-term to fault-tolerance
内容： Quantum machine learning, namely, running machine learning algorithms on quantum devices, has been considered a flag-ship application of quantum computing. In this talk, we will describe two pe...
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06-22
2023
Polynomial-time classical sampling of high-temperature quantum Gibbs states
内容： The computational complexity of simulating quantum many-body systems generally scales exponentially with the number of particles. This enormous computational cost prohibits first principles sim...
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06-20
2023
Perturbative quantum simulation
内容： Approximation based on perturbation theory is the foundation for most of the quantitative predictions of quantum mechanics with broad applications in quantum many-body physics. Quantum computin...
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06-08
2023
Design quantum algorithm with physics
内容： Many optimization and decision problems can be mapped to Hamiltonians of spins, where the ground states represent the solutions. In this way, solving complex mathematical problems becomes findi...
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06-01
2023
Introduction to quantum dynamics
内容： In traditional condensed matter theory, we usually focus on equilibrium properties and linear response, while various phenomena beyond thermal equilibrium are still unknown to us. Recently, dyn...
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05-08
2023
Trapped ion quantum information processing: high flexibility and high precision
内容： Trapped atomic ions represent one of the most promising platforms for scalable quantum computing and quantum information processing. Here, we present some recent progress towards controlling su...