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07-14
2023
Quantum AI: From near-term to fault-tolerance
Abstract: 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 tw...
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06-22
2023
Polynomial-time classical sampling of high-temperature quantum Gibbs states
Abstract: The computational complexity of simulating quantum many-body systems generally scales exponentially with the number of particles. This enormous computational cost prohibits first principles...
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06-20
2023
Perturbative quantum simulation
Abstract: 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 comp...
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06-08
2023
Design quantum algorithm with physics
Abstract: 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 f...
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06-01
2023
Introduction to quantum dynamics
Abstract: 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,...
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05-08
2023
Error Mitigation at the Gate and the Circuit Level in a Trapped-ion Quantum Computer
Abstract: Quantum computing is expected to deliver exponential speedup over classical computing on various computational tasks such as quantum simulation, number factoring, and solving linear systems...