Cover Image

Synthesis of discrete-continuous quantum circuits with multimodal diffusion models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fürrutter, Florian, Chandani, Zohim, Hamamura, Ikko, Briegel, Hans J., Muñoz-Gil, Gorka
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantum circuit synthesis with diffusion models
by: Fürrutter, Florian, et al.
Published: (2023)

Minimizing classical resources in variational measurement-based quantum computation for generative modeling
by: Majumder, Arunava, et al.
Published: (2026)

Learning to reset in target search problems
by: Muñoz-Gil, Gorka, et al.
Published: (2025)

Disentanglement by means of action-induced representations
by: Muñoz-Gil, Gorka, et al.
Published: (2026)

Variational measurement-based quantum computation for generative modeling
by: Majumder, Arunava, et al.
Published: (2023)

Discovering quantum phenomena with Interpretable Machine Learning
by: de Schoulepnikoff, Paulin, et al.
Published: (2026)

Interpretable representation learning of quantum data enabled by probabilistic variational autoencoders
by: de Schoulepnikoff, Paulin, et al.
Published: (2025)

QuantumBench: A Benchmark for Quantum Problem Solving
by: Minami, Shunya, et al.
Published: (2025)

Multi-Excitation Projective Simulation with a Many-Body Physics Inspired Inductive Bias
by: LeMaitre, Philip A., et al.
Published: (2024)

Generative quantum machine learning via denoising diffusion probabilistic models
by: Zhang, Bingzhi, et al.
Published: (2023)

Computing the gradients with respect to all parameters of a quantum neural network using a single circuit
by: He, Guang Ping
Published: (2023)

Replay-buffer engineering for noise-robust quantum circuit optimization
by: Kundu, Akash, et al.
Published: (2026)

Efficient implementation of randomized quantum algorithms with dynamic circuits
by: Kanno, Shu, et al.
Published: (2025)

Hamiltonian simulation for hyperbolic partial differential equations by scalable quantum circuits
by: Sato, Yuki, et al.
Published: (2024)

A quantum-classical reinforcement learning model to play Atari games
by: Freinberger, Dominik, et al.
Published: (2024)

Quantum State Preparation for Probability Distributions with Reflection Symmetry Using Matrix Product States
by: Sano, Yuichi, et al.
Published: (2024)

Measurement-based quantum computation from Clifford quantum cellular automata
by: Nautrup, Hendrik Poulsen, et al.
Published: (2023)

Quantum computing and artificial intelligence: status and perspectives
by: Acampora, Giovanni, et al.
Published: (2025)

The power and limitations of learning quantum dynamics incoherently
by: Jerbi, Sofiene, et al.
Published: (2023)

Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning
by: Zhao, Hanyang, et al.
Published: (2024)

Reinforcement learning-assisted quantum architecture search for variational quantum algorithms
by: Kundu, Akash
Published: (2024)

Generative quantum combinatorial optimization by means of a novel conditional generative quantum eigensolver
by: Minami, Shunya, et al.
Published: (2025)

Curriculum reinforcement learning for quantum architecture search under hardware errors
by: Patel, Yash J., et al.
Published: (2024)

Shadows of quantum machine learning
by: Jerbi, Sofiene, et al.
Published: (2023)

Enhancing variational quantum state diagonalization using reinforcement learning techniques
by: Kundu, Akash, et al.
Published: (2023)

Reinforcement learning for quantum processes with memory
by: Lumbreras, Josep, et al.
Published: (2026)

Training-efficient density quantum machine learning
by: Coyle, Brian, et al.
Published: (2024)

Artificial intelligence for representing and characterizing quantum systems
by: Du, Yuxuan, et al.
Published: (2025)

Free Energy Projective Simulation (FEPS): Active inference with interpretability
by: Pazem, Joséphine, et al.
Published: (2024)

Optimal foraging strategies can be learned
by: Muñoz-Gil, Gorka, et al.
Published: (2023)

Learning pure quantum states (almost) without regret
by: Lumbreras, Josep, et al.
Published: (2024)

Fundamental causal bounds of quantum random access memories
by: Wang, Yunfei, et al.
Published: (2023)

AI Methods for Permutation Circuit Synthesis Across Generic Topologies
by: Villar, Victor, et al.
Published: (2025)

Restricting to the chip architecture maintains the quantum neural network accuracy
by: Friedrich, Lucas, et al.
Published: (2022)

Hybrid Reward-Driven Reinforcement Learning for Efficient Quantum Circuit Synthesis
by: Giordano, Sara, et al.
Published: (2025)

Quantum Circuit Pre-Synthesis: Learning Local Edits to Reduce $T$-count
by: Bosco, Daniele Lizzio, et al.
Published: (2026)

Training quantum machine learning models on cloud without uploading the data
by: He, Guang Ping
Published: (2024)

Hybrid discrete-continuous compilation of trapped-ion quantum circuits with deep reinforcement learning
by: Preti, Francesco, et al.
Published: (2023)

Sample-efficient quantum error mitigation via classical learning surrogates
by: Liao, Wei-You, et al.
Published: (2025)

UDiTQC: U-Net-Style Diffusion Transformer for Quantum Circuit Synthesis
by: Chen, Zhiwei, et al.
Published: (2025)