Cover Image

Quantum Adiabatic Generation of Human-Like Passwords

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mücke, Sascha, Heese, Raoul, Gerlach, Thore, Biesner, David, Lee, Loong Kuan, Piatkowski, Nico
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hybrid Quantum-Classical Multi-Agent Pathfinding
by: Gerlach, Thore, et al.
Published: (2025)

Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning
by: Heese, Raoul, et al.
Published: (2023)

Quadratic Continuous Quantum Optimization
by: Mücke, Sascha, et al.
Published: (2025)

Standardization of Multi-Objective QUBOs
by: Lee, Loong Kuan, et al.
Published: (2025)

On the effects of biased quantum random numbers on the initialization of artificial neural networks
by: Heese, Raoul, et al.
Published: (2021)

Efficient Light Source Placement using Quantum Computing
by: Mücke, Sascha, et al.
Published: (2023)

Investigating the Relation Between Problem Hardness and QUBO Properties
by: Gerlach, Thore, et al.
Published: (2024)

Dynamic Range Reduction via Branch-and-Bound
by: Gerlach, Thore, et al.
Published: (2024)

Kernel $k$-Medoids as General Vector Quantization
by: Gerlach, Thore, et al.
Published: (2025)

Quantum Wave Function Collapse for Procedural Content Generation
by: Heese, Raoul
Published: (2023)

QUBOLite: A lightweigth Python toolkit for QUBO
by: Mücke, Sascha, et al.
Published: (2025)

Predicting Machining Stability with a Quantum Regression Model
by: Mücke, Sascha, et al.
Published: (2024)

Multi-Objective Quantum Power System Redispatch
by: Lee, Loong Kuan, et al.
Published: (2024)

Adiabatic Quantum Support Vector Machines
by: Date, Prasanna, et al.
Published: (2024)

Is Quantum Optimization Ready? An Effort Towards Neural Network Compression using Adiabatic Quantum Computing
by: Wang, Zhehui, et al.
Published: (2025)

A Simple QUBO Formulation of Sudoku
by: Mücke, Sascha
Published: (2024)

Quantum Computing for Climate Resilience and Sustainability Challenges
by: Ho, Kin Tung Michael, et al.
Published: (2024)

Learning to Learn with Quantum Optimization via Quantum Neural Networks
by: Chen, Kuan-Cheng, et al.
Published: (2025)

Qiskit HumanEval: An Evaluation Benchmark For Quantum Code Generative Models
by: Vishwakarma, Sanjay, et al.
Published: (2024)

Quantum Kernel-Based Long Short-term Memory
by: Hsu, Yu-Chao, et al.
Published: (2024)

On Quantum Circuits for Discrete Graphical Models
by: Piatkowski, Nico, et al.
Published: (2022)

Quantum Boltzmann Machines for Sample-Efficient Reinforcement Learning
by: Gerlach, Thore, et al.
Published: (2025)

Toward Large-Scale Distributed Quantum Long Short-Term Memory with Modular Quantum Computers
by: Chen, Kuan-Cheng, et al.
Published: (2025)

Bipartitioning of Graph States for Distributed Measurement-Based Quantum Computing
by: Pettersen, Kjell Fredrik, et al.
Published: (2026)

Beyond Reinforcement Learning: Fast and Scalable Quantum Circuit Synthesis
by: Theißinger, Lukas, et al.
Published: (2026)

Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning
by: Chen, Kuan-Cheng, et al.
Published: (2024)

Hybrid Quantum-Classical Optimization for Multi-Objective Supply Chain Logistics
by: Heese, Raoul, et al.
Published: (2026)

Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting
by: Hsu, Yu-Chao, et al.
Published: (2024)

Level Generation with Quantum Reservoir Computing
by: Ferreira, João S., et al.
Published: (2025)

Four Generations of Quantum Biomedical Sensors
by: Jin, Xin, et al.
Published: (2026)

Understanding the Nature of Depth-1 Equivariant Quantum Circuit
by: Teo, Jonathan, et al.
Published: (2025)

SAQ: Stabilizer-Aware Quantum Error Correction Decoder
by: Zenati, David, et al.
Published: (2025)

Generalization Bounds in Hybrid Quantum-Classical Machine Learning Models
by: Wu, Tongyan, et al.
Published: (2025)

Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series
by: Chen, Kuan-Cheng, et al.
Published: (2025)

GPA: Grover Policy Agent for Generating Optimal Quantum Sensor Circuits
by: Alomari, Ahmad, et al.
Published: (2025)

Quantum Machine Learning for UAV Swarm Intrusion Detection
by: Chen, Kuan-Cheng, et al.
Published: (2025)

Qvine: Vine Structured Quantum Circuits for Loading High Dimensional Distributions
by: Quiroga, David, et al.
Published: (2026)

QAOA-GPT: Efficient Generation of Adaptive and Regular Quantum Approximate Optimization Algorithm Circuits
by: Tyagin, Ilya, et al.
Published: (2025)

Agent-Q: Fine-Tuning Large Language Models for Quantum Circuit Generation and Optimization
by: Jern, Linus, et al.
Published: (2025)

QFlowNet: Fast, Diverse, and Efficient Unitary Synthesis with Generative Flow Networks
by: Koo, Inhoe, et al.
Published: (2026)