Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Narayanan, Sri Hari Krishna"'
Autor:
Narayanan, Sri Hari Krishna, Perlin, Michael, Lewis-Swan, Robert, Larson, Jeffrey, Menickelly, Matt, Hückelheim, Jan, Hovland, Paul
Differentiable quantum dynamics require automatic differentiation of a complex-valued initial value problem, which numerically integrates a system of ordinary differential equations from a specified initial condition, as well as the eigendecompositio
Externí odkaz:
http://arxiv.org/abs/2406.06361
Autor:
Castro, Juan C. Zuñiga, Larson, Jeffrey, Narayanan, Sri Hari Krishna, Colussi, Victor E., Perlin, Michael A., Lewis-Swan, Robert J.
We investigate optimized quantum state preparation for quantum metrology applications in noisy environments. Using the QFI-Opt package, we simulate a low-depth variational quantum circuit (VQC) composed of a sequence of global rotations and entanglin
Externí odkaz:
http://arxiv.org/abs/2406.01859
Autor:
Hascoët, Laurent, Bouchot, Jean-Luc, Gaikwad, Shreyas Sunil, Narayanan, Sri Hari Krishna, Hückelheim, Jan
Checkpointing is a cornerstone of data-flow reversal in adjoint algorithmic differentiation. Checkpointing is a storage/recomputation trade-off that can be applied at different levels, one of which being the call tree. We are looking for good placeme
Externí odkaz:
http://arxiv.org/abs/2405.15590
Autor:
Sun, Yixuan, Cucuzzella, Elizabeth, Brus, Steven, Narayanan, Sri Hari Krishna, Nadiga, Balasubramanya, Van Roekel, Luke, Hückelheim, Jan, Madireddy, Sandeep, Heimbach, Patrick
Numerical models of the ocean and ice sheets are crucial for understanding and simulating the impact of greenhouse gases on the global climate. Oceanic processes affect phenomena such as hurricanes, extreme precipitation, and droughts. Ocean models r
Externí odkaz:
http://arxiv.org/abs/2404.09950
Autor:
Sun, Yixuan, Sowunmi, Ololade, Egele, Romain, Narayanan, Sri Hari Krishna, Van Roekel, Luke, Balaprakash, Prasanna
Training an effective deep learning model to learn ocean processes involves careful choices of various hyperparameters. We leverage the advanced search algorithms for multiobjective optimization in DeepHyper, a scalable hyperparameter optimization so
Externí odkaz:
http://arxiv.org/abs/2404.05768
Autor:
Gaikwad, Shreyas Sunil, Narayanan, Sri Hari Krishna, Hascoet, Laurent, Campin, Jean-Michel, Pillar, Helen, Nguyen, An, Huckelheim, Jan, Hovland, Paul, Heimbach, Patrick
The Massachusetts Institute of Technology General Circulation Model (MITgcm) is widely used by the climate science community to simulate planetary atmosphere and ocean circulations. A defining feature of the MITgcm is that it has been developed to be
Externí odkaz:
http://arxiv.org/abs/2401.11952
Autor:
Sun, Yixuan, Cucuzzella, Elizabeth, Brus, Steven, Narayanan, Sri Hari Krishna, Nadiga, Balu, Van Roekel, Luke, Hückelheim, Jan, Madireddy, Sandeep
Modeling is crucial to understanding the effect of greenhouse gases, warming, and ice sheet melting on the ocean. At the same time, ocean processes affect phenomena such as hurricanes and droughts. Parameters in the models that cannot be physically m
Externí odkaz:
http://arxiv.org/abs/2311.08421
Quantum optimal control problems are typically solved by gradient-based algorithms such as GRAPE, which suffer from exponential growth in storage with increasing number of qubits and linear growth in memory requirements with increasing number of time
Externí odkaz:
http://arxiv.org/abs/2210.08378
Autor:
Narayanan, Sri Hari Krishna, Propson, Thomas, Bongarti, Marcelo, Hueckelheim, Jan, Hovland, Paul
Quantum optimal control problems are typically solved by gradient-based algorithms such as GRAPE, which suffer from exponential growth in storage with increasing number of qubits and linear growth in memory requirements with increasing number of time
Externí odkaz:
http://arxiv.org/abs/2203.12717
Autor:
Hückelheim, Jan, Kukreja, Navjot, Narayanan, Sri Hari Krishna, Luporini, Fabio, Gorman, Gerard, Hovland, Paul
Stencil loops are a common motif in computations including convolutional neural networks, structured-mesh solvers for partial differential equations, and image processing. Stencil loops are easy to parallelise, and their fast execution is aided by co
Externí odkaz:
http://arxiv.org/abs/1907.02818