Suchergebnisse - "Applied computing Physical sciences and engineering Physics"

SURFNet: Super-Resolution of Turbulent Flows with Transfer Learning using Small Datasets von Obiols-Sales, Octavi, Vishnu, Abhinav, Malaya, Nicholas P., Chandramowlishwaran, Aparna

“… Deep Learning (DL) algorithms are emerging as a key alternative to computationally expensive CFD simulations. However, state-of-the-art DL approaches require …”
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Bit-Slicing the Hilbert Space: Scaling Up Accurate Quantum Circuit Simulation von Tsai, Yuan-Hung, Jiang, Jie-Hong R., Jhang, Chiao-Shan

“… Recent advancements in quantum technologies shed light on viable quantum computation in near future. Quantum circuit simulation plays a key role in the …”
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A Hybrid Lagrangian/Eulerian Collocated Velocity Advection and Projection Method for Fluid Simulation von Gagniere, S., Hyde, D., Marquez‐Razon, A., Jiang, C., Ge, Z., Han, X., Guo, Q., Teran, J.

“… We present a hybrid particle/grid approach for simulating incompressible fluids on collocated velocity grids. Our approach supports both particle‐based …”
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Joint Cutting for Hybrid Schrödinger-Feynman Simulation of Quantum Circuits von Herzog, Laura S., Burgholzer, Lukas, Ufrecht, Christian, Scherer, Daniel D., Wille, Robert

“… Despite the continuous advancements in size and robustness of real quantum devices, reliable large-scale quantum computers are not yet available. Hence, …”
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ChipletEM: Physics-Based 2.5D and 3D Chiplet Heterogeneous Integration Electromigration Signoff Tool Using Coupled Stress and Thermal Simulation von Sun, Zeyu, Tong, Weijie, Ma, Xiaoning, Cao, He, Liu, Jianyun, Li, Zhiqiang, Xu, Qinzhi

“… A review of recent studies on up-to-date IC shows that electromigration (EM) has become one of the major challenges for 2.5D and 3D chiplet heterogeneous …”
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CUDA Quantum: The Platform for Integrated Quantum-Classical Computing von Kim, Jin-Sung, McCaskey, Alex, Heim, Bettina, Modani, Manish, Stanwyck, Sam, Costa, Timothy

“… A critical challenge to making quantum computers work in practice is effectively combining them with classical computing resources. From the classical side of …”
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Lightning Talk: Scaling Up Quantum Compilation - Challenges and Opportunities von Cong, Jason

“… The past decade witnessed exciting advances in quantum computing (QC) platforms. For example, superconducting qubit systems of over a hundred qubits have been …”
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HierPINN-EM: Fast Learning-Based Electromigration Analysis for Multi-Segment Interconnects Using Hierarchical Physics-informed Neural Network von Jin, Wentian, Chen, Liang, Lamichhane, Subed, Kavousi, Mohammadamir, Tan, Sheldon X.-D.

“… Electromigration (EM) becomes a major concern for VLSI circuits as the technology advances in the nanometer regime. The crux of problem is to solve the partial …”
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Ever more optimized simulations of fermionic systems on a quantum computer von Wang, Qingfeng, Cian, Ze-Pei, Li, Ming, Markov, Igor L., Nam, Yunseong

“… Despite using a novel model of computation, quantum computers break down programs into elementary gates. Among such gates, entangling gates are the most …”
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Quantum Machine Learning Applications in High-Energy Physics (Invited Paper) von Delgado, Andrea, Hamilton, Kathleen E.

“… Some of the most significant achievements of the modern era of particle physics, such as the discovery of the Higgs boson, have been made possible by the …”
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Battle Against Fluctuating Quantum Noise: Compression-Aided Framework to Enable Robust Quantum Neural Network von Hu, Zhirui, Lin, Youzuo, Guan, Qiang, Jiang, Weiwen

“… Recently, we have been witnessing the scale-up of superconducting quantum computers; however, the noise of quantum bits (qubits) is still an obstacle for …”
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Orchestrating Measurement-Based Quantum Computation over Photonic Quantum Processors von Li, Yingheng, Pawar, Aditya, Azari, Mohadeseh, Guo, Yanan, Zhang, Youtao, Yang, Jun, Seshadreesan, Kaushik Parasuram, Tang, Xulong

“… Quantum computing has rapidly evolved in recent years and has established its supremacy in many application domains. While matter-based qubit platforms such as …”
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A High-precision Stochastic Solver for Steady-state Thermal Analysis with Fourier Heat Transfer Robin Boundary Conditions von Yang, Longlong, Ding, Cuiyang, Yan, Changhao, Zhou, Dian, Zeng, Xuan

“… In this work, we propose a path integral random walk (PIRW) solver, the first accurate stochastic method for steady-state thermal analysis with mixed boundary …”
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0.5 petabyte simulation of a 45-qubit quantum circuit von Häner, Thomas, Steiger, Damian S.

“… Near-term quantum computers will soon reach sizes that are challenging to directly simulate, even when employing the most powerful supercomputers. Yet, the …”
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Billion atom molecular dynamics simulations of carbon at extreme conditions and experimental time and length scales von Nguyen-Cong, Kien, Willman, Jonathan T., Moore, Stan G., Belonoshko, Anatoly B., Gayatri, Rahulkumar, Weinberg, Evan, Wood, Mitchell A., Thompson, Aidan P., Oleynik, Ivan I.

“… Billion atom molecular dynamics (MD) using quantum-accurate machine-learning Spectral Neighbor Analysis Potential (SNAP) observed long-sought high pressure BC8 …”
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High Performance Monte Carlo Simulation of Ising Model on TPU Clusters von Yang, Kun, Chen, Yi-Fan, Roumpos, Georgios, Colby, Chris, Anderson, John

“… Large-scale deep learning benefits from an emerging class of AI accelerators. Some of these accelerators'designs are general enough for compute-intensive …”
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Peta-scale phase-field simulation for dendritic solidification on the TSUBAME 2.0 supercomputer von Shimokawabe, Takashi, Aoki, Takayuki, Takaki, Tomohiro, Endo, Toshio, Yamanaka, Akinori, Maruyama, Naoya, Nukada, Akira, Matsuoka, Satoshi

“… The mechanical properties of metal materials largely depend on their intrinsic internal microstructures. To develop engineering materials with the expected …”
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GPU Acceleration of Extreme Scale Pseudo-Spectral Simulations of Turbulence Using Asynchronism von Ravikumar, Kiran, Appelhans, David, Yeung, P.K.

“… This paper presents new advances in GPU-driven Fourier pseudo-spectral numerical algorithms, which allow the simulation of turbulent fluid flow at problem …”
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NNQS-Transformer: An Efficient and Scalable Neural Network Quantum States Approach for Ab Initio Quantum Chemistry von Wu, Yangjun, Guo, Chu, Fan, Yi, Zhou, Pengyu, Shang, Honghui

“… Neural network quantum state (NNQS) has emerged as a promising candidate for quantum many-body problems, but its practical applications are often hindered by …”
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Scaling the "Memory Wall" for Multi-Dimensional Seismic Processing with Algebraic Compression on Cerebras CS-2 Systems von Ltaief, Hatem, Hong, Yuxi, Wilson, Leighton, Jacquelin, Mathias, Ravasi, Matteo, Keyes, David

“… We exploit the high memory bandwidth of AI-customized Cerebras CS-2 systems for seismic processing. By leveraging low-rank matrix approximation, we fit …”
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