Experimental Test of Contextuality based on State Discrimination with a Single Qubit

Kavli Affiliate: Xiang Zhang | First 5 Authors: Qiuxin Zhang, Chenhao Zhu, Yuxin Wang, Liangyu Ding, Tingting Shi | Summary: Exploring quantum phenomena beyond predictions of any classical model has fundamental importance to understand the boundary of classical and quantum descriptions of nature. As a typical property that a quantum system behaves distinctively from a […]


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Coherent excitation of bound electron quantum state with quantum electron wavepackets

Kavli Affiliate: Amnon Yariv | First 5 Authors: Du Ran, Bin Zhang, Reuven Ianconescu, Aharon Friedman, Jacob Scheuer | Summary: We present a fully quantum model for the excitation of a bound electron based on the free-electron bound-electron resonant interaction (FEBERI) scheme. The bound electron is modeled as a quantum two-level system (TLS) at any […]


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Lifetime Limited and Tunable Quantum Light Emission in h-BN via Electric Field Modulation

Kavli Affiliate: Harry A. Atwater | First 5 Authors: Hamidreza Akbari, Souvik Biswas, Pankaj K. Jha, Joeson Wong, Benjamin Vest | Summary: Color centered-based single photon emitters in hexagonal boron nitride (h-BN) have shown promising photophysical properties as sources for quantum light emission. Despite significant advances towards such a goal, achieving lifetime-limited quantum light emission […]


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A method to computationally screen for tunable properties of crystalline alloys

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Rachel Woods-Robinson, Matthew K. Horton, Kristin A. Persson, , | Summary: Conventionally, high-throughput computational materials searches start from an input set of bulk compounds extracted from material databases, and this set is screened for candidate materials for specific applications. In contrast, many functional materials, and especially […]


Continue.. A method to computationally screen for tunable properties of crystalline alloys

A method to computationally screen for tunable properties of crystalline alloys

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Rachel Woods-Robinson, Matthew K. Horton, Kristin A. Persson, , | Summary: Conventionally, high-throughput computational materials searches start from an input set of bulk compounds extracted from material databases, and this set is screened for candidate materials for specific applications. In contrast, many functional materials, and especially […]


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How Material Heterogeneity Creates Rough Fractures

Kavli Affiliate: Shmuel M. Rubinstein | First 5 Authors: Will Steinhardt, Shmuel M. Rubinstein, , , | Summary: Fractures are a critical process in how materials wear, weaken, and fail whose unpredictable behavior can have dire consequences. While the behavior of smooth cracks in ideal materials is well understood, it is assumed that for real, […]


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Solving Complex Nanostructures With Ptychographic Atomic Electron Tomography

Kavli Affiliate: Alex Zettl | First 5 Authors: Philipp M Pelz, Sinead Griffin, Scott Stonemeyer, Derek Popple, Hannah Devyldere | Summary: Transmission electron microscopy (TEM) is a potent technique for the determination of three-dimensional atomic scale structure of samples in structural biology and materials science. In structural biology, three-dimensional structures of proteins are routinely determined […]


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Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, Marinka Zitnik, | Summary: Pre-training on time series poses a unique challenge due to the potential mismatch between pre-training and target domains, such as shifts in temporal dynamics, fast-evolving trends, and long-range and short cyclic effects, which can lead to poor […]


Continue.. Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency

Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, Marinka Zitnik, | Summary: Pre-training on time series poses a unique challenge due to the potential mismatch between pre-training and target domains, such as shifts in temporal dynamics, fast-evolving trends, and long-range and short cyclic effects, which can lead to poor […]


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Adaptive Algorithm for Quantum Amplitude Estimation

Kavli Affiliate: Feng Wang | First 5 Authors: Yunpeng Zhao, Haiyan Wang, Kuai Xu, Yue Wang, Ji Zhu | Summary: Quantum amplitude estimation is a key sub-routine of a number of quantum algorithms with various applications. We propose an adaptive algorithm for interval estimation of amplitudes. The quantum part of the algorithm is based only […]


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