:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Yazici, Enis
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics
Online Access:	https://arxiv.org/abs/2502.05621
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DeepQuantum: A PyTorch-based Software Platform for Quantum Machine Learning and Photonic Quantum Computing
by: He, Jun-Jie, et al.
Published: (2025)

Comparative Evaluation of PyTorch, JAX, SciPy, and Neal for Solving QUBO Problems at Scale
by: Yang, Pei-Kun
Published: (2025)

Mixed Quantum-Classical Dynamics Yields Anharmonic Rabi Oscillations
by: Hsieh, Ming-Hsiu, et al.
Published: (2025)

HOBOTAN: Efficient Higher Order Binary Optimization Solver with Tensor Networks and PyTorch
by: Yasuda, Shoya, et al.
Published: (2024)

Kaiwu-PyTorch-Plugin: Bridging Deep Learning and Photonic Quantum Computing for Energy-Based Models and Active Sample Selection
by: Zhu, Hongdong, et al.
Published: (2026)

TorchSim: An efficient atomistic simulation engine in PyTorch
by: Cohen, Orion, et al.
Published: (2025)

Addressing the Non-perturbative Regime of the Quantum Anharmonic Oscillator by Physics-Informed Neural Networks
by: Brevi, Lorenzo, et al.
Published: (2024)

CTorch: PyTorch-Compatible GPU-Accelerated Auto-Differentiable Projector Toolbox for Computed Tomography
by: Jiang, Xiao, et al.
Published: (2025)

TorchFX: A modern approach to Audio DSP with PyTorch and GPU acceleration
by: Spanio, Matteo, et al.
Published: (2025)

PyPOD-GP: Using PyTorch for Accelerated Chip-Level Thermal Simulation of the GPU
by: He, Neil, et al.
Published: (2024)

DMFF in PyTorch backend
by: Zhu, Jia-Xin, et al.
Published: (2026)

ADMP in PyTorch backend
by: Zhu, Jia-Xin, et al.
Published: (2026)

Quantum Dynamics and Collapse-and-Revival Phenomena in the Dunkl Anharmonic Oscillator
by: Ojeda-Guillén, D., et al.
Published: (2026)

Decoherence Limits the Cost to Simulate an Anharmonic Oscillator
by: Propp, Tzula B., et al.
Published: (2023)

PyLO: Towards Accessible Learned Optimizers in PyTorch
by: Janson, Paul, et al.
Published: (2025)

Mass and Decay-Constant Evolution of Heavy Quarkonia and $B_c$ States from Thermal QCD Sum Rules
by: Yazici, Enis
Published: (2025)

Scalable GPU-Accelerated Euler Characteristic Curves: Optimization and Differentiable Learning for PyTorch
by: Saxena, Udit
Published: (2025)

Batched Differentiable Rigid Body Dynamics in PyTorch for GPU-Accelerated Robot Learning
by: Wang, Yue, et al.
Published: (2026)

Analytic Model for the Energy Spectrum of the Anharmonic Oscillator
by: Caffarel, Michel
Published: (2024)

Ep. 170: The Heavy Metal of Machine Learning: Inside PyTorch
by: Rosehill, Daniel, et al.
Published: (2026)

MRpro - open PyTorch-based MR reconstruction and processing package
by: Zimmermann, Felix Frederik, et al.
Published: (2025)

hxtorch: PyTorch for BrainScaleS-2 -- Perceptrons on Analog Neuromorphic Hardware
by: Spilger, Philipp, et al.
Published: (2020)

Study of the Quartic Anharmonic Oscillator Using the System's Wave Function Expansion in the Oscillator Basis
by: Babenko, V. A., et al.
Published: (2025)

Kapitza's Pendulum as a Classical Prelude to Floquet-Magnus Theory
by: Krondorfer, Johannes K., et al.
Published: (2025)

A Quantum Mechanical Pendulum Clock
by: Brunelli, Matteo, et al.
Published: (2025)

SoftDTW-CUDA-Torch: Memory-Efficient GPU-Accelerated Soft Dynamic Time Warping for PyTorch
by: Weber, Ron Shapira, et al.
Published: (2026)

CrypTorch: PyTorch-based Auto-tuning Compiler for Machine Learning with Multi-party Computation
by: Liu, Jinyu, et al.
Published: (2025)

PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning
by: Hu, Weihua, et al.
Published: (2024)

depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers
by: You, Kaichao, et al.
Published: (2024)

PiShield: A PyTorch Package for Learning with Requirements
by: Stoian, Mihaela Cătălina, et al.
Published: (2024)

From Classical Data to Quantum Advantage -- Quantum Policy Evaluation on Quantum Hardware
by: Hein, Daniel, et al.
Published: (2025)

TorchAO: PyTorch-Native Training-to-Serving Model Optimization
by: Or, Andrew, et al.
Published: (2025)

A PyTorch Framework for Scalable Non-Crossing Quantile Regression
by: Chang, Kaihua
Published: (2025)

Venom: A PyTorch Generative Modeling Toolkit
by: Yan, Liang
Published: (2026)

torchgfn: A PyTorch GFlowNet library
by: Viviano, Joseph D., et al.
Published: (2023)

Quantum Machine Learning for State Tomography Using Classical Data
by: Jabeen, Shabnam, et al.
Published: (2025)

Learning Bug Context for PyTorch-to-JAX Translation with LLMs
by: Phan, Hung, et al.
Published: (2025)

Gradient-descent-based reconstruction for muon tomography based on automatic differentiation in PyTorch
by: Alameddine, Jean-Marco, et al.
Published: (2025)

Efficient Coupled-Cluster Python Frameworks for Next-Generation GPUs: A Comparative Study of CuPy and PyTorch on the Hopper and Grace Hopper Architecture
by: Dobrowolska, Antonina, et al.
Published: (2026)

Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation
by: Hasan, Mohammad Junayed, et al.
Published: (2023)