AI news archive.
82 articles mentioning quantum, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchvFedProtoQNAS: Prototype-Guided Personalized Quantum Neural Architecture Search for Virtual Federated Learning
arXiv:2610.01718v1 Announce Type: new Abstract: Quantum federated learning (QFL) has emerged as a promising approach for collaboratively training compact quantum neural networks (QNNs) over distributed private data on re…
- arXiv cs.AIresearchExponential quantum advantage in processing massive classical data
arXiv:2604.07639v2 Announce Type: replace-cross Abstract: Broadly applicable quantum advantage, particularly in classical data processing and machine learning, has been a fundamental open problem. In this work, we prove…
- arXiv cs.AIresearchQuantum Computing for Network Security Classification: Near-Term Classification and Long-Term Memory Efficiency
arXiv:2609.36479v1 Announce Type: cross Abstract: Quantum computing has already been explored in several network-security applications. However, how quantum computing may contribute to network-security classification in…
- arXiv cs.AIresearchDigital Twin Modeling of Quantum Dynamical Systems: Dissipative Quantum Reservoir Computing
arXiv:2609.36901v1 Announce Type: cross Abstract: Modeling the response of driven many-body quantum systems from input--output data is difficult: the dynamics are nonlinear, history dependent, and expensive to simulate a…
- arXiv cs.AIresearchSQUARE: Structured Quantum Representation Adapters as Compact Quadratic Feature Maps for Frozen Language Models
arXiv:2609.37134v1 Announce Type: cross Abstract: Frozen language models (LMs) are increasingly used as fixed feature extractors for downstream reranking, scoring, and preference modeling, raising a practical question: h…
- arXiv cs.AIresearchReplay-buffer engineering for noise-aware quantum circuit optimization
arXiv:2604.21863v2 Announce Type: replace-cross Abstract: Deep reinforcement learning for quantum circuit optimization faces three bottlenecks: replay buffers that overlook temporal difference (TD) target reliability, cu…
- SiliconANGLE AIresearchHPE Labs connects AI sovereignty with quantum security
As director of HPE Labs, Andrew Wheeler (pictured) is uniquely positioned to observe rapid advancements in artificial intelligence and new developments for the emerging field of quantum computing. Yet, there is a third a…
- arXiv cs.AIresearchQuPID: Quantum Parameter-Efficient Input-Dependent Retrieval Adaptation for Medical RAG
arXiv:2609.33351v1 Announce Type: new Abstract: Fidelity-based quantum retrieval ranks candidates by the fidelity between query and archive states. Applying a shared input-independent unitary after fixed state encoding l…
- arXiv cs.AIresearchQuantum Monte Carlo Tree Search with Fixed Confidence
arXiv:2609.33132v1 Announce Type: cross Abstract: Recent advances in quantum computing are opening new opportunities for computationally intensive decision problems. This paper studies how quantum computing can improve M…
- arXiv cs.AIresearchQC-Stark: A Multi-Task Benchmark Revealing Capability Dissociations in LLMs Evaluated on Quantum Computing Tasks
arXiv:2609.35581v1 Announce Type: cross Abstract: We introduce QC-Stark, a benchmark for evaluating large language models (LLMs) on 11 quantum computing (QC) tasks, spanning circuit construction, debugging, compilation,…
- arXiv cs.AIresearchUniversal Quantum Transformer
arXiv:2606.00045v4 Announce Type: replace Abstract: Classical continuous-space neural networks fundamentally struggle to lock into exact formal rules, whether mathematical, such as modular arithmetic and non-Abelian grou…
- arXiv cs.AIresearchDualityCert: Verifier-Gated Language-Model Repair of Broken Duality Claims in Quantum Field Theory
arXiv:2607.23614v3 Announce Type: replace-cross Abstract: We present DualityCert, a symbolic verifier for candidate Seiberg-duality claims in four-dimensional N=1 quiver gauge theories. The verifier evaluates 't Hooft an…
- arXiv cs.AIresearchQuantum Diffusion Models for Medical Image Analysis
arXiv:2609.31070v1 Announce Type: cross Abstract: Quantum Machine Learning is a novel field of research aimed at devising machine learning approaches exploiting principles of quantum mechanics, such as superposition, ent…
- arXiv cs.AIresearchHybrid Variational Quantum-Classical Framework with Adaptive Weighting and Efficiency Assessment
arXiv:2609.28491v1 Announce Type: cross Abstract: Hybrid quantum-classical neural networks have emerged as a promising approach for leveraging quantum computing in machine learning while mitigating current hardware limit…
- arXiv cs.AIresearchQINA: Quantum-Inspired Nonlinear Adapters for Pretrained Vision Models
arXiv:2609.29592v1 Announce Type: cross Abstract: Adapting large pretrained vision models under limited data and frozen-backbone constraints remains a central challenge in transfer learning. While lightweight adapters an…
- arXiv cs.AIresearchQuantum Reinforcement Learning for Cost and Delay Tradeoffs in Quantum Cloud Orchestration
arXiv:2609.27446v1 Announce Type: cross Abstract: Quantum cloud computing, delivered through the quantum-as-a-service (QaaS) model, provides access to quantum computing resources. However, applying uniform time-based pri…
- arXiv cs.AIresearchA Non-Invasive Cloud-Based Migration Strategy for Post-Quantum Cybersecurity in Smart HVAC Systems: Architecture, Implementation, and Empirical Evaluation
arXiv:2609.27828v1 Announce Type: cross Abstract: Legacy smart HVAC controllers rely on vendor-cloud TLS secured by ECDH and RSA, both broken by Shor's algorithm, and typical 10-15 year lifespans mean today's devices rem…
- arXiv cs.AIresearchWeakly Supervised Quantum Error Mitigation
arXiv:2609.25555v1 Announce Type: new Abstract: Supervised approaches to quantum error mitigation learn a map from noisy circuit outputs to ideal ones, and therefore require the ideal outputs. Producing those ideal outpu…
- arXiv cs.AIresearchNeutral-Atom-based Quantum Optimization for Resource Allocation in NOMA Networks
arXiv:2609.26556v1 Announce Type: new Abstract: In wireless communication networks, many resource optimization problems are nondeterministic polynomial-time hard (NP-hard) due to their combinatorial nature and high compu…
- arXiv cs.AIresearchQuantum-Aided Active Device Detection in Energy-Harvesting Symbiotic Radio Networks
arXiv:2609.26565v1 Announce Type: new Abstract: Massive connectivity in next-generation networks demands energy- and spectrum-efficient solutions for large-scale Internet of Things (IoT) deployments. Symbiotic radio (SR)…
- arXiv cs.AIresearchFederating Quantum and Classical Computing: A Privacy-Preserving Hybrid Approach
arXiv:2609.25082v1 Announce Type: cross Abstract: Quantum machine learning (QML) is increasingly recognized as one of the most promising near-term applications of quantum computing, viewed as a next-frontier candidate be…
- arXiv cs.AIresearchWhen Quantum Meets AI: Quantum Methods for Machine Learning and Machine Learning Methods for Quantum Systems
arXiv:2609.25641v1 Announce Type: cross Abstract: This thesis studies the intersection of quantum computing and artificial intelligence in two directions: quantum methods for machine learning and machine learning methods…
- AI Stack ExchangeresearchA idea I got from quantum computing about AI , will AGI require partly a quantum computer?
For agi the capability of a agi to take in new experiences, learn from them and use that experience in the future without retraining reminds me of quantum phase kickback.In quantum phase kickback data can enter the contr…
- arXiv cs.AIresearchWatching Quantum Models Think: Hilbert-Space Interpretability in Quantum Transformer Blocks
arXiv:2609.23016v1 Announce Type: cross Abstract: Deep learning models are powerful but opaque. As quantum machine learning matures, the field faces a defining choice: build quantum models that are equally opaque, or exp…
- TechRadar AIchipsWhy quantum scales on compute-per-watt, not qubit count
Mainstream AI news from a large tech publication.
- arXiv cs.AIresearchQiT: Quantum-Inspired Transformer for Visual Recognition Task
arXiv:2609.17789v1 Announce Type: cross Abstract: Quantum machine learning offers a compelling representational perspective: angle-encoded states inhabit Hilbert spaces in which periodic similarities and interactions can…
- arXiv cs.AIresearchAPGEM: Adaptive Policy-Guided Error Mitigation for Quantum Reinforcement Learning on a Real-World CVRP Case Study
arXiv:2609.18219v1 Announce Type: cross Abstract: Quantum Reinforcement Learning (QRL) represents policies as variational quantum circuits (VQCs), making it attractive for combinatorial optimization such as the Capacitat…
- arXiv cs.AIresearchBadQubits: An LLM-Based Framework for Static Pre-Execution Detection of Structurally Harmful Quantum Circuits
arXiv:2609.18965v1 Announce Type: cross Abstract: This paper presents BadQubits, an LLM-based framework for static pre-execution detection of structurally harmful OpenQASM 2.0 circuits. The framework targets physical-exe…
- arXiv cs.AIagentsSecuring quantum error correction against misleading advice from AI agents
arXiv:2609.19090v1 Announce Type: cross Abstract: Can an attacker turn influence over an artificial intelligence (AI) adviser into a harmful quantum error-correction update? We identify an ambiguity in passive syndrome r…
- OpenAI NewsresearchHow GPT-5.6 Sol helps run quantum computing experiments
See how an MIT researcher uses GPT-5.6 Sol with Codex to autonomously run quantum computing experiments, analyze results, and calibrate qubits.
- NVIDIA Developer BlogmodelsNVIDIA Ising Enables Fully Automated Quantum Computer Calibration with Enhanced In-Context Learning
NVIDIA Ising Calibration is an open source vision language model (VLM) designed to interpret diagnostic outputs from quantum processors and determine how they...
- NVIDIA Developer BlogresearchNVIDIA Ising Decoding Cuts Color Code Logical Error Rates by Over 300x
Useful quantum computers will require fault tolerant logical operations. Researchers are actively exploring many different quantum error correction (QEC) codes...