TorchQuantumDistributed
Fuente:
arXiv
Saved in:
| Main Authors: | Knitter, Oliver, Mei, Jonathan, Yamada, Masako, Roetteler, Martin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Large Language Model Scaling Laws for Neural Quantum States in Quantum Chemistry
by: Knitter, Oliver, et al.
Published: (2025)
by: Knitter, Oliver, et al.
Published: (2025)
Retentive Neural Quantum States: Efficient Ansätze for Ab Initio Quantum Chemistry
by: Knitter, Oliver, et al.
Published: (2024)
by: Knitter, Oliver, et al.
Published: (2024)
Variational quantum and neural quantum states algorithms for the linear complementarity problem
by: De, Saibal, et al.
Published: (2025)
by: De, Saibal, et al.
Published: (2025)
Quantum Data Encoding and Variational Algorithms: A Framework for Hybrid Quantum Classical Machine Learning
by: Bose, Bhavna, et al.
Published: (2025)
by: Bose, Bhavna, et al.
Published: (2025)
Application of Tensor Neural Networks to Pricing Bermudan Swaptions
by: Patel, Raj G., et al.
Published: (2023)
by: Patel, Raj G., et al.
Published: (2023)
Hybrid Fourier Neural Operator for Surrogate Modeling of Laser Processing with a Quantum-Circuit Mixer
by: Papierz, Mateusz, et al.
Published: (2026)
by: Papierz, Mateusz, et al.
Published: (2026)
An End-to-End PyTorch Interface for Differentiable PDE Solvers: A RANS Model-Correction Study
by: Saverio, Luca, et al.
Published: (2026)
by: Saverio, Luca, et al.
Published: (2026)
Quantum-Inspired Tensor Neural Networks for Option Pricing
by: Patel, Raj G., et al.
Published: (2022)
by: Patel, Raj G., et al.
Published: (2022)
Quantum Computing-Enhanced Algorithm Unveils Novel Inhibitors for KRAS
by: Vakili, Mohammad Ghazi, et al.
Published: (2024)
by: Vakili, Mohammad Ghazi, et al.
Published: (2024)
Financial Risk Management on a Neutral Atom Quantum Processor
by: Leclerc, Lucas, et al.
Published: (2022)
by: Leclerc, Lucas, et al.
Published: (2022)
Learning Temporal Patterns in Financial Time Series: A Comparative Study of Quantum LSTM and Quantum Reservoir Computing
by: Maheshwari, Danyal, et al.
Published: (2026)
by: Maheshwari, Danyal, et al.
Published: (2026)
A Brief Review of Quantum Machine Learning for Financial Services
by: Doosti, Mina, et al.
Published: (2024)
by: Doosti, Mina, et al.
Published: (2024)
STN-GPR: A Singularity Tensor Network Framework for Efficient Option Pricing
by: Gribben, Dominic, et al.
Published: (2026)
by: Gribben, Dominic, et al.
Published: (2026)
Measuring Accuracy and Energy-to-Solution of Quantum Fine-Tuning of Foundational AI Models
by: Knitter, Oliver, et al.
Published: (2026)
by: Knitter, Oliver, et al.
Published: (2026)
Quantum Financial Modeling on Noisy Intermediate-Scale Quantum Hardware: Random Walks using Approximate Quantum Counting
by: Widdows, Dominic, et al.
Published: (2023)
by: Widdows, Dominic, et al.
Published: (2023)
Accurate and scalable deep Maxwell solvers using multilevel iterative methods
by: Mao, Chenkai, et al.
Published: (2025)
by: Mao, Chenkai, et al.
Published: (2025)
Hot-Starting Quantum Portfolio Optimization
by: Schlütter, Sebastian, et al.
Published: (2025)
by: Schlütter, Sebastian, et al.
Published: (2025)
Quantum Dynamics Simulation of the Advection-Diffusion Equation
by: Alipanah, Hirad, et al.
Published: (2025)
by: Alipanah, Hirad, et al.
Published: (2025)
Efficient tensor network simulation of IBM's largest quantum processors
by: Patra, Siddhartha, et al.
Published: (2023)
by: Patra, Siddhartha, et al.
Published: (2023)
Quantum Annealing for Combinatorial Optimization: A Benchmarking Study
by: Kim, Seongmin, et al.
Published: (2025)
by: Kim, Seongmin, et al.
Published: (2025)
Harnessing Quantum Computing for Energy Materials: Opportunities and Challenges
by: Kim, Seongmin, et al.
Published: (2026)
by: Kim, Seongmin, et al.
Published: (2026)
Practical Quantum Circuit Implementation for Simulating Coupled Classical Oscillators
by: Luangsirapornchai, Natt, et al.
Published: (2025)
by: Luangsirapornchai, Natt, et al.
Published: (2025)
Towards Analyzing Formic Acid Using Classical and Quantum Methods
by: Gurevich, Omer, et al.
Published: (2026)
by: Gurevich, Omer, et al.
Published: (2026)
Multi-Channel Currency: A Secure Method Using Semi-Quantum Tokens
by: Zhang, Yichi, et al.
Published: (2025)
by: Zhang, Yichi, et al.
Published: (2025)
When the Weak Becomes Strong: Effective Observables via Time-Symmetric Quantum Selection
by: Mannucci, Mirco A.
Published: (2025)
by: Mannucci, Mirco A.
Published: (2025)
Preconditioning Natural and Second Order Gradient Descent in Quantum Optimization: A Performance Benchmark
by: Lisart-Liebermann, Théo, et al.
Published: (2025)
by: Lisart-Liebermann, Théo, et al.
Published: (2025)
Known Unknowns: Out-of-Distribution Property Prediction in Materials and Molecules
by: Segal, Nofit, et al.
Published: (2025)
by: Segal, Nofit, et al.
Published: (2025)
Provably Efficient Quantum Algorithms for Solving Nonlinear Differential Equations Using Multiple Bosonic Modes Coupled with Qubits
by: Gan, Yu, et al.
Published: (2025)
by: Gan, Yu, et al.
Published: (2025)
Quantum-informed simulations for mechanics of materials: DFTB+MBD framework
by: Shen, Zhaoxiang, et al.
Published: (2024)
by: Shen, Zhaoxiang, et al.
Published: (2024)
Towards Symmetry-Aware Efficient Simulation of Quantum Systems and Beyond
by: Chen, Min, et al.
Published: (2023)
by: Chen, Min, et al.
Published: (2023)
Life cycle assessment for all organic chemicals
by: Chen, Shaohan, et al.
Published: (2026)
by: Chen, Shaohan, et al.
Published: (2026)
Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanics
by: Garnier, Paul, et al.
Published: (2024)
by: Garnier, Paul, et al.
Published: (2024)
Quantum Parity Representations: Learnable Basis Discovery, Encoders, and Shadow Deployment
by: Kim, Sang Hyub, et al.
Published: (2026)
by: Kim, Sang Hyub, et al.
Published: (2026)
MLQAOA: Graph Learning Accelerated Hybrid Quantum-Classical Multilevel QAOA
by: Bach, Bao, et al.
Published: (2024)
by: Bach, Bao, et al.
Published: (2024)
Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting
by: Immordino, Gabriele, et al.
Published: (2024)
by: Immordino, Gabriele, et al.
Published: (2024)
Multi-fidelity Batch Active Learning for Gaussian Process Classifiers
by: Cutforth, Murray, et al.
Published: (2025)
by: Cutforth, Murray, et al.
Published: (2025)
M4GN: Mesh-based Multi-segment Hierarchical Graph Network for Dynamic Simulations
by: Lei, Bo, et al.
Published: (2025)
by: Lei, Bo, et al.
Published: (2025)
Overcoming the Loss Conditioning Bottleneck in Optimization-Based PDE Solvers: A Novel Well-Conditioned Loss Function
by: Cao, Wenbo, et al.
Published: (2025)
by: Cao, Wenbo, et al.
Published: (2025)
Reinforcement learning framework for the mechanical design of microelectronic components under multiphysics constraints
by: Nair, Siddharth, et al.
Published: (2025)
by: Nair, Siddharth, et al.
Published: (2025)
Physics-Informed Deep Contrast Source Inversion: A Unified Framework for Inverse Scattering Problems
by: Sun, Haoran, et al.
Published: (2025)
by: Sun, Haoran, et al.
Published: (2025)
Similar Items
-
Large Language Model Scaling Laws for Neural Quantum States in Quantum Chemistry
by: Knitter, Oliver, et al.
Published: (2025) -
Retentive Neural Quantum States: Efficient Ansätze for Ab Initio Quantum Chemistry
by: Knitter, Oliver, et al.
Published: (2024) -
Variational quantum and neural quantum states algorithms for the linear complementarity problem
by: De, Saibal, et al.
Published: (2025) -
Quantum Data Encoding and Variational Algorithms: A Framework for Hybrid Quantum Classical Machine Learning
by: Bose, Bhavna, et al.
Published: (2025) -
Application of Tensor Neural Networks to Pricing Bermudan Swaptions
by: Patel, Raj G., et al.
Published: (2023)