日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Exponential quantum advantages in learning quantum observables from classical data

从经典数据中学习量子可观测量具有指数级的量子优势

Molteni, Riccardo; Gyurik, Casper; Dunjko, Vedran

Variational quantum generative modeling by sampling expectation values of tunable observables

通过对可调观测量的期望值进行采样来实现变分量子生成建模

Shen, Kevin; Kurkin, Andrii; Pérez-Salinas, Adrián; Shishenina, Elvira; Dunjko, Vedran; Wang, Hao

Parameterized quantum circuits as universal generative models for continuous multivariate distributions

参数化量子电路作为连续多元分布的通用生成模型

Barthe, Alice; Grossi, Michele; Vallecorsa, Sofia; Tura, Jordi; Dunjko, Vedran

Shadows of quantum machine learning

量子机器学习的阴影

Jerbi, Sofiene; Gyurik, Casper; Marshall, Simon C; Molteni, Riccardo; Dunjko, Vedran

Reinforcement learning assisted recursive QAOA

强化学习辅助递归QAOA

Patel, Yash J; Jerbi, Sofiene; Bäck, Thomas; Dunjko, Vedran

Quantum machine learning beyond kernel methods

超越核方法的量子机器学习

Jerbi, Sofiene; Fiderer, Lukas J; Poulsen Nautrup, Hendrik; Kübler, Jonas M; Briegel, Hans J; Dunjko, Vedran

Skill Learning by Autonomous Robotic Playing Using Active Learning and Exploratory Behavior Composition.

利用主动学习和探索性行为组合进行自主机器人游戏技能学习

Hangl Simon, Dunjko Vedran, Briegel Hans J, Piater Justus

Active learning machine learns to create new quantum experiments

主动学习机器学习如何创建新的量子实验

Melnikov, Alexey A; Poulsen Nautrup, Hendrik; Krenn, Mario; Dunjko, Vedran; Tiersch, Markus; Zeilinger, Anton; Briegel, Hans J

Projective simulation with generalization

具有泛化的投影模拟

Melnikov, Alexey A; Makmal, Adi; Dunjko, Vedran; Briegel, Hans J

Phylostratigraphic profiles reveal a deep evolutionary history of the vertebrate head sensory systems

系统地层学剖面揭示了脊椎动物头部感觉系统的深远演化历史

Sestak, Martin Sebastijan; Božičević, Vedran; Bakarić, Robert; Dunjko, Vedran; Domazet-Lošo, Tomislav