Abstract: Continuous-variable quantum key distribution (CV QKD) using optical coherent detectors is practically favorable due to its low implementation cost, flexibility of wavelength division multip...
Abstract: To study potential avenues for scaling up trapped ion crystal size, we built a modified Paul trap with an oblate aspect ratio designed for trapping radial 2-d ion crystals. In this geometry...
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...
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...
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...
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...