Saved in:
| Main Authors: | Frohnert, Felix, Gu, Xuemei, Krenn, Mario, van Nieuwenburg, Evert |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.06577 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Explainable Representation Learning of Small Quantum States
by: Frohnert, Felix, et al.
Published: (2023)
by: Frohnert, Felix, et al.
Published: (2023)
Learning Pole Structures of Hadronic States using Predictive Uncertainty Estimation
by: Frohnert, Felix, et al.
Published: (2025)
by: Frohnert, Felix, et al.
Published: (2025)
Towards autonomous quantum physics research using LLM agents with access to intelligent tools
by: Arlt, Sören, et al.
Published: (2025)
by: Arlt, Sören, et al.
Published: (2025)
Forecasting high-impact research topics via machine learning on evolving knowledge graphs
by: Gu, Xuemei, et al.
Published: (2024)
by: Gu, Xuemei, et al.
Published: (2024)
Deep Quantum Graph Dreaming: Deciphering Neural Network Insights into Quantum Experiments
by: Jaouni, Tareq, et al.
Published: (2023)
by: Jaouni, Tareq, et al.
Published: (2023)
Detecting underdetermination in parameterized quantum circuits
by: Kempkes, Marie, et al.
Published: (2025)
by: Kempkes, Marie, et al.
Published: (2025)
Interesting Scientific Idea Generation using Knowledge Graphs and LLMs: Evaluations with 100 Research Group Leaders
by: Gu, Xuemei, et al.
Published: (2024)
by: Gu, Xuemei, et al.
Published: (2024)
Learning Density Functionals from Noisy Quantum Data
by: Koridon, Emiel, et al.
Published: (2024)
by: Koridon, Emiel, et al.
Published: (2024)
Double descent in quantum kernel methods
by: Kempkes, Marie, et al.
Published: (2025)
by: Kempkes, Marie, et al.
Published: (2025)
Nonstabilizerness Estimation using Graph Neural Networks
by: Lipardi, Vincenzo, et al.
Published: (2025)
by: Lipardi, Vincenzo, et al.
Published: (2025)
Quantum computing and artificial intelligence: status and perspectives
by: Acampora, Giovanni, et al.
Published: (2025)
by: Acampora, Giovanni, et al.
Published: (2025)
Learning Minimal Representations of Fermionic Ground States
by: Frohnert, Felix, et al.
Published: (2025)
by: Frohnert, Felix, et al.
Published: (2025)
The power and limitations of learning quantum dynamics incoherently
by: Jerbi, Sofiene, et al.
Published: (2023)
by: Jerbi, Sofiene, et al.
Published: (2023)
Discovering highly efficient low-weight quantum error-correcting codes with reinforcement learning
by: He, Austin Yubo, et al.
Published: (2025)
by: He, Austin Yubo, et al.
Published: (2025)
Reinforcement learning for quantum processes with memory
by: Lumbreras, Josep, et al.
Published: (2026)
by: Lumbreras, Josep, et al.
Published: (2026)
The role of data embedding in quantum autoencoders for improved anomaly detection
by: Araz, Jack Y., et al.
Published: (2024)
by: Araz, Jack Y., et al.
Published: (2024)
Virtual Reality for Understanding Artificial-Intelligence-driven Scientific Discovery with an Application in Quantum Optics
by: Schmidt, Philipp, et al.
Published: (2024)
by: Schmidt, Philipp, et al.
Published: (2024)
Sample-efficient quantum error mitigation via classical learning surrogates
by: Liao, Wei-You, et al.
Published: (2025)
by: Liao, Wei-You, et al.
Published: (2025)
Generative quantum machine learning via denoising diffusion probabilistic models
by: Zhang, Bingzhi, et al.
Published: (2023)
by: Zhang, Bingzhi, et al.
Published: (2023)
Quantum spatial best-arm identification via quantum walks
by: Yamagami, Tomoki, et al.
Published: (2025)
by: Yamagami, Tomoki, et al.
Published: (2025)
Reinforcement learning-assisted quantum architecture search for variational quantum algorithms
by: Kundu, Akash
Published: (2024)
by: Kundu, Akash
Published: (2024)
Data-driven quantum Koopman method for simulating nonlinear dynamics
by: Zhang, Baoyang, et al.
Published: (2025)
by: Zhang, Baoyang, et al.
Published: (2025)
Generative quantum combinatorial optimization by means of a novel conditional generative quantum eigensolver
by: Minami, Shunya, et al.
Published: (2025)
by: Minami, Shunya, et al.
Published: (2025)
Shadows of quantum machine learning
by: Jerbi, Sofiene, et al.
Published: (2023)
by: Jerbi, Sofiene, et al.
Published: (2023)
Training-efficient density quantum machine learning
by: Coyle, Brian, et al.
Published: (2024)
by: Coyle, Brian, et al.
Published: (2024)
Artificial intelligence for representing and characterizing quantum systems
by: Du, Yuxuan, et al.
Published: (2025)
by: Du, Yuxuan, et al.
Published: (2025)
Learning pure quantum states (almost) without regret
by: Lumbreras, Josep, et al.
Published: (2024)
by: Lumbreras, Josep, et al.
Published: (2024)
Fundamental causal bounds of quantum random access memories
by: Wang, Yunfei, et al.
Published: (2023)
by: Wang, Yunfei, et al.
Published: (2023)
Variational measurement-based quantum computation for generative modeling
by: Majumder, Arunava, et al.
Published: (2023)
by: Majumder, Arunava, et al.
Published: (2023)
Synthesis of discrete-continuous quantum circuits with multimodal diffusion models
by: Fürrutter, Florian, et al.
Published: (2025)
by: Fürrutter, Florian, et al.
Published: (2025)
Restricting to the chip architecture maintains the quantum neural network accuracy
by: Friedrich, Lucas, et al.
Published: (2022)
by: Friedrich, Lucas, et al.
Published: (2022)
Curriculum reinforcement learning for quantum architecture search under hardware errors
by: Patel, Yash J., et al.
Published: (2024)
by: Patel, Yash J., et al.
Published: (2024)
Enhancing variational quantum state diagonalization using reinforcement learning techniques
by: Kundu, Akash, et al.
Published: (2023)
by: Kundu, Akash, et al.
Published: (2023)
A quantum-classical reinforcement learning model to play Atari games
by: Freinberger, Dominik, et al.
Published: (2024)
by: Freinberger, Dominik, et al.
Published: (2024)
Minimizing classical resources in variational measurement-based quantum computation for generative modeling
by: Majumder, Arunava, et al.
Published: (2026)
by: Majumder, Arunava, et al.
Published: (2026)
Reinforcement learning with learned gadgets to tackle hard quantum problems on real hardware
by: Kundu, Akash, et al.
Published: (2024)
by: Kundu, Akash, et al.
Published: (2024)
Quantum state-agnostic work extraction (almost) without dissipation
by: Lumbreras, Josep, et al.
Published: (2025)
by: Lumbreras, Josep, et al.
Published: (2025)
Scalable Neural Decoders for Practical Fault-Tolerant Quantum Computation
by: Gu, Andi, et al.
Published: (2026)
by: Gu, Andi, et al.
Published: (2026)
Exponential capacity scaling of classical GANs compared to hybrid latent style-based quantum GANs
by: Liepelt, Milan, et al.
Published: (2026)
by: Liepelt, Milan, et al.
Published: (2026)
Discover physical concepts and equations with machine learning
by: Li, Bao-Bing, et al.
Published: (2024)
by: Li, Bao-Bing, et al.
Published: (2024)
Similar Items
-
Explainable Representation Learning of Small Quantum States
by: Frohnert, Felix, et al.
Published: (2023) -
Learning Pole Structures of Hadronic States using Predictive Uncertainty Estimation
by: Frohnert, Felix, et al.
Published: (2025) -
Towards autonomous quantum physics research using LLM agents with access to intelligent tools
by: Arlt, Sören, et al.
Published: (2025) -
Forecasting high-impact research topics via machine learning on evolving knowledge graphs
by: Gu, Xuemei, et al.
Published: (2024) -
Deep Quantum Graph Dreaming: Deciphering Neural Network Insights into Quantum Experiments
by: Jaouni, Tareq, et al.
Published: (2023)