Cover Image

Quantum entanglement provides a competitive advantage in adversarial games

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Peiyong, Hymas, Kieran, Quach, James
Format:	Preprint
Published:	2026
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

Let the Quantum Creep In: Designing Quantum Neural Network Models by Gradually Swapping Out Classical Components
by: Wang, Peiyong, et al.
Published: (2024)

Quantum Hamiltonian Embedding of Images for Data Reuploading Classifiers
by: Wang, Peiyong, et al.
Published: (2024)

Powering Quantum Computation with Quantum Batteries
by: Kurman, Yaniv, et al.
Published: (2025)

Spatiotemporal entanglement of the vacuum
by: Dahal, Pravin Kumar, et al.
Published: (2025)

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

SQUASH: A SWAP-Based Quantum Attack to Sabotage Hybrid Quantum Neural Networks
by: Kumar, Rahul, et al.
Published: (2025)

QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and Normalization
by: Wang, Hanrui, et al.
Published: (2021)

Towards identifying possible fault-tolerant advantage of quantum linear system algorithms in terms of space, time and energy
by: Tu, Yue, et al.
Published: (2025)

Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach
by: Xu, Yang, et al.
Published: (2025)

Quantum Optimization for Training Quantum Neural Networks
by: Liao, Yidong, et al.
Published: (2021)

Exponential quantum advantage in processing massive classical data
by: Zhao, Haimeng, et al.
Published: (2026)

A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance
by: Wang, Yunfei, et al.
Published: (2024)

Quantum Phase Recognition via Quantum Attention Mechanism
by: Chen, Jin-Long, et al.
Published: (2026)

Meta-Learning for Quantum Optimization via Quantum Sequence Model
by: Lin, Yu-Cheng, et al.
Published: (2025)

Quantum Architecture Search for Solving Quantum Machine Learning Tasks
by: Kölle, Michael, et al.
Published: (2025)

Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise
by: Rahman, Ratun, et al.
Published: (2025)

Embedding-Aware Quantum-Classical SVMs for Scalable Quantum Machine Learning
by: Ordóñez, Sebastián Andrés Cajas, et al.
Published: (2025)

Soft-Quantum Algorithms
by: Kyriacou, Basil, et al.
Published: (2026)

Simulation of a Variational Quantum Perceptron using Grover's Algorithm
by: Innan, Nouhaila, et al.
Published: (2023)

Quantum Flow Matching
by: Cui, Zidong, et al.
Published: (2025)

Quantum Circuit-Based Learning Models: Bridging Quantum Computing and Machine Learning
by: Fan, Fan, et al.
Published: (2026)

The Role of Quantum in Hybrid Quantum-Classical Neural Networks: A Realistic Assessment
by: Freinberger, Dominik, et al.
Published: (2026)

ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks
by: Afane, Mohamed, et al.
Published: (2025)

Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret
by: Zhong, Han, et al.
Published: (2023)

Deep Quantum Graph Dreaming: Deciphering Neural Network Insights into Quantum Experiments
by: Jaouni, Tareq, et al.
Published: (2023)

Demonstration of Efficient Predictive Surrogates for Large-scale Quantum Processors
by: Liao, Wei-You, et al.
Published: (2025)

Quantum-enhanced Large Language Models on Quantum Hardware via Cayley Unitary Adapters
by: Aizpurua, Borja, et al.
Published: (2026)

Shot-Based Quantum Encoding: A Data-Loading Paradigm for Quantum Neural Networks
by: Kyriacou, Basil, et al.
Published: (2026)

QIXAI: A Quantum-Inspired Framework for Enhancing Classical and Quantum Model Transparency and Understanding
by: Willis, John M.
Published: (2024)

Deep Sequence Modeling with Quantum Dynamics: Language as a Wave Function
by: Nebli, Ahmed, et al.
Published: (2026)

Quantum-Assisted Correlation Clustering
by: Macaluso, Antonio, et al.
Published: (2025)

Quantum feature encoding optimization
by: Fioravanti, Tommaso, et al.
Published: (2025)

Iterative Quantum Feature Maps
by: Matsumoto, Nasa, et al.
Published: (2025)

Quantum Agents for Algorithmic Discovery
by: Kerenidis, Iordanis, et al.
Published: (2025)

Q-Newton: Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient Descent
by: Li, Pingzhi, et al.
Published: (2024)

GroverGPT: A Large Language Model with 8 Billion Parameters for Quantum Searching
by: Wang, Haoran, et al.
Published: (2024)

Separable Power of Classical and Quantum Learning Protocols Through the Lens of No-Free-Lunch Theorem
by: Wang, Xinbiao, et al.
Published: (2024)

A Hybrid Quantum-Classical Framework for Financial Volatility Forecasting Based on Quantum Circuit Born Machines
by: Chen, Yixiong
Published: (2026)

QiNN-QJ: A Quantum-inspired Neural Network with Quantum Jump for Multimodal Sentiment Analysis
by: Chen, Yiwei, et al.
Published: (2025)

Symbolic Analysis of Grover Search Algorithm via Chain-of-Thought Reasoning and Quantum-Native Tokenization
by: Chen, Min, et al.
Published: (2025)