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 […]


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

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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Polarization dependent photoemission as a probe of the magnetic ground state in the layered ferromagnet VI3

Kavli Affiliate: Alessandra Lanzara | First 5 Authors: Derek Bergner, Tai Kong, Ping Ai, Daniel Eilbott, Claudia Fatuzzo | Summary: Layered ferromagnets are thrilling materials from both a fundamental and technological point of view. VI3 is an interesting example, with a complex magnetism that differentiates it from the first reported Cr based layered ferromagnets. Here, […]


Continue.. Polarization dependent photoemission as a probe of the magnetic ground state in the layered ferromagnet VI3

High-Fidelity Qutrit Entangling Gates for Superconducting Circuits

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Noah Goss, Alexis Morvan, Brian Marinelli, Bradley K. Mitchell, Long B. Nguyen | Summary: Ternary quantum information processing in superconducting devices poses a promising alternative to its more popular binary counterpart through larger, more connected computational spaces and proposed advantages in quantum simulation and error correction. Although […]


Continue.. High-Fidelity Qutrit Entangling Gates for Superconducting Circuits

High-Fidelity Qutrit Entangling Gates for Superconducting Circuits

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Noah Goss, Alexis Morvan, Brian Marinelli, Bradley K. Mitchell, Long B. Nguyen | Summary: Ternary quantum information processing in superconducting devices poses a promising alternative to its more popular binary counterpart through larger, more connected computational spaces and proposed advantages in quantum simulation and error correction. Although […]


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An entanglement perspective on the quantum approximate optimization algorithm

Kavli Affiliate: Joel E. Moore | First 5 Authors: Maxime Dupont, Nicolas Didier, Mark J. Hodson, Joel E. Moore, Matthew J. Reagor | Summary: Many quantum algorithms seek to output a specific bitstring solving the problem of interest–or a few if the solution is degenerate. It is the case for the quantum approximate optimization algorithm […]


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