AI news archive.
82 articles mentioning quantum, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchResearcher-in-the-Loop Evolutionary Discovery of Entanglement-Assisted Quantum Code Families
arXiv:2610.41183v1 Announce Type: new Abstract: LLM-guided program evolution can produce mathematical constructions, but validity, generality, and reproducibility require distinct evidence. We develop a researcher-in-the…
- arXiv cs.AIresearchDistilling Knowledge from Search: Decoder Model Factory for Quantum LDPC Codes
arXiv:2610.41398v1 Announce Type: cross Abstract: We introduce GraphMP, a learning-based message-passing decoder for quantum low-density parity-check codes that transfers without fine-tuning across code families, code si…
- arXiv cs.AIagentsAx-Prover: A Deep Reasoning Agentic Framework for Theorem Proving in Mathematics and Quantum Physics
arXiv:2510.12787v5 Announce Type: replace Abstract: We present Ax-Prover, a multi-agent system for automated theorem proving in Lean that can solve problems across diverse scientific domains and operate either autonomous…
- arXiv cs.AIagentsCollaborative AI agents for autonomous experimental research with solid-state quantum spins
arXiv:2610.40589v1 Announce Type: new Abstract: An autonomous research laboratory could conduct an entire study, from formulating questions to preparing manuscripts. Artificial intelligence (AI) offers one route towards…
- arXiv cs.AIresearchResponsible Quantum Machine Learning for Medical Imaging: A Fairness Audit Across Sensitive Subgroups
arXiv:2610.37819v1 Announce Type: cross Abstract: Quantum machine learning (QML) is increasingly explored for medical classification, yet its behaviour under subgroup-aware fairness criteria remains understudied. We pres…
- arXiv cs.AIagentsAutonomous Quantum Measurement with Agentic AI
arXiv:2610.38850v1 Announce Type: cross Abstract: Quantum materials exhibit diverse electronic and functional phenomena, but their characterization requires extensive experimental expertise, iterative decision-making and…
- arXiv cs.AIagentsHERA: Assessing an Autonomous Agent for Quantum Device Measurement
arXiv:2610.39074v1 Announce Type: cross Abstract: Large language model agents have begun to carry out laboratory measurements, but their scientific conclusions are useful only if they hold up under scrutiny. Demonstratin…
- arXiv cs.AIresearchFast and accurate neural triage decoding of ultra-high-rate quantum LDPC codes
arXiv:2610.40490v1 Announce Type: cross Abstract: Quantum error correction is essential for fault-tolerant quantum computing. High-rate quantum low-density parity-check (qLDPC) codes have emerged as a promising approach…
- arXiv cs.AIresearchLatent Style-based Quantum Wasserstein GAN for Drug Design
arXiv:2603.22399v2 Announce Type: replace-cross Abstract: The development of new drugs is a time-consuming and expensive process, with average costs estimated to be up to around $2.5 billion. The first step in this proce…
- arXiv cs.AIresearchLearning unified control of intrinsic nonlinear spin dynamics in atomic qudits for magnetometry
arXiv:2603.28421v3 Announce Type: replace-cross Abstract: Generating and preserving metrologically useful quantum states is a central challenge in quantum-enhanced metrology. In low-field atomic magnetometry with multile…
- TechRadar AIsafetySecurity experts warn North Korean hackers aren't just using AI in their new campaigns, but also 'post-quantum' encryption
Mainstream AI news from a large tech publication.
- LessWrongresearchFormally Defining Wavefunction Branches
[LW Meta: This post is (a) about how wavefunction branching explains measurements and why chaotic dynamics don't cause the quantum state to become non-classical-looking (b) the mathematical problem of formally defining w…
- arXiv cs.AIresearchAI-Assisted Discovery of CNOT Decompositions for Quantum Permutations on Constrained Topologies
arXiv:2610.37045v1 Announce Type: new Abstract: Efficient quantum circuit compilation is challenging for quantum computers, where limited qubit connectivity can introduce substantial overhead in the implementation of log…
- LessWrongresearchQuantum Mechanics Overview
[LW meta: This is a very brief overview of what quantum mechanics says and how it relates to ordinary reality. Many readers here will probably already be familiar with this material, especially if they've read Eliezer's…
- arXiv cs.AIresearchAlphaCNOT: Learning CNOT Minimization with Model-Based Planning
arXiv:2604.13812v2 Announce Type: replace Abstract: Quantum circuit optimization is a central task in quantum computing, as current NISQ devices suffer from error propagation that often scales with the number of operatio…
- TechRadar AIsafetyPreparing for a quantum-safe future
Mainstream AI news from a large tech publication.
- arXiv cs.AIresearchThe Role of Quantum in Hybrid Quantum-Classical Neural Networks: An Empirical Assessment
arXiv:2601.04732v2 Announce Type: replace-cross Abstract: Quantum machine learning has emerged as a promising application domain for near-term quantum hardware, particularly through hybrid quantum-classical models that l…
- OpenAI NewsresearchWorking with academic communities to build scientific understanding
OpenAI shares model results on the Kakeya conjecture, Exponential Time Hypothesis, and quantum chromodynamics—and how researchers can verify and build on them.
- arXiv cs.AIresearchCan Entanglement-Induced Feature-Map Designs Improve Projected Quantum Kernels?
arXiv:2610.31260v1 Announce Type: cross Abstract: Projected quantum kernels (PQKs) have emerged as a notable approach to circumvent the hardness of machine learning tasks arising from the exponential dimensionality of th…
- arXiv cs.AIresearchCan Quantum Layers offer Performance and Security Advantages in Vision-Language Models?
arXiv:2610.28964v1 Announce Type: cross Abstract: As quantum computing moves from the noisy intermediate-scale quantum (NISQ) era toward early fault-tolerant quantum computing (EFTQC), quantum-enhanced AI is shifting fro…
- arXiv cs.AIresearchUnit-Aware Differentially Private Quantum Machine Learning for Clinical and Wearable Health Data
arXiv:2610.28968v1 Announce Type: cross Abstract: Clinical registries and wearable sensors support early health-risk assessment, yet models trained on these records may leak sensitive information when released. Different…
- arXiv cs.AIresearchQuantum-Inspired Optimization Process for Data Imputation
arXiv:2505.04841v3 Announce Type: replace-cross Abstract: Data imputation is a critical preprocessing step, particularly in clinical datasets where missingness can bias downstream inference. We propose a quantum-inspired…
- arXiv cs.AIresearchEvolutionary BP+OSD Decoding for Low-Latency Quantum Error Correction
arXiv:2512.18273v3 Announce Type: replace-cross Abstract: Quantum error correction (QEC) for fault-tolerant quantum computing requires a balanced decoding solution that offers high performance, low complexity, and low la…
- arXiv cs.AIresearchFine-Tuning Small Reasoning Models for Quantum Field Theory
arXiv:2604.18936v2 Announce Type: replace-cross Abstract: Despite the growing application of large language models (LLMs) to theoretical physics, there has been little academic exploration of how domain-specific physics…
- arXiv cs.AIresearchOn the Complementarity of Quantum and Classical Features: Adaptive Hybrid Quantum-Classical Feature Fusion for Breast Cancer Classification
arXiv:2604.22903v2 Announce Type: replace-cross Abstract: The integration of quantum machine learning with classical deep learning offers promising avenues for medical image analysis by mapping data into high-dimensional…
- NVIDIA Blogopen-sourceNVIDIA Open Models Advance Europe’s Sovereign Intelligence Across Industries
NVIDIA is expanding its family of open models across language, robotics, biology, and quantum computing, giving developers, researchers and enterprises what they need to build applications tailored to local languages and…
- arXiv cs.AIresearchQuantum-JEPA: Quantum Born Priors for Latent-Action JEPA World Models
arXiv:2610.27921v1 Announce Type: new Abstract: A single observation can admit several plausible futures, making uncertainty an essential part of world modelling. However, quantum generative models remain underexplored f…
- arXiv cs.AIresearchEfficient LLM-Generated Shuttling Compilers for Complex Trapped-Ion Architectures
arXiv:2607.24714v2 Announce Type: replace-cross Abstract: Trapped-ion quantum computers rely on shuttling compilers, which cast an input algorithm into a sequence of ion-qubit movements within a given architecture. We pr…
- arXiv cs.AIresearchPFedQFT: Personalized Federated Quantum-Inspired Fine-Tuning for Medical Large Language Models
arXiv:2610.25712v1 Announce Type: new Abstract: Medical data remain fragmented across institutional silos because of privacy, governance, and ownership constraints. Federated learning enables medical institutions to adap…
- arXiv cs.AIresearchCan the Quantum Fisher Effective Dimension Judge a Hybrid Quantum Neural Network?
arXiv:2610.14070v1 Announce Type: cross Abstract: Hybrid quantum neural networks (QNNs) pair a classical feature extractor with a variational quantum circuit, and the effective dimension of the circuit's quantum Fisher i…
- arXiv cs.AIresearchPhysics-anchored residual quantum neural networks for cloud-cover parameterization
arXiv:2610.26279v1 Announce Type: cross Abstract: Compact quantum neural networks have been explored for cloud-cover parameterization, but their predictive value depends on how physical knowledge is incorporated and whic…
- TechRadar AIresearchGartner: The quantum threat is already behind schedule
Mainstream AI news from a large tech publication.
- arXiv cs.AIresearchQuantum Versus Classical Machine Learning for Neuropsychiatric Disorders: A Feature-Matched Multi-Cohort Evaluation
arXiv:2610.21344v1 Announce Type: new Abstract: Resting-state functional connectivity is widely used in machine learning-based classification of neuropsychiatric disorders. Quantum machine learning models have been propo…
- arXiv cs.AIresearchWhen do quantum views help? Complementary classical-quantum representations in multi-view fusion
arXiv:2610.21395v1 Announce Type: cross Abstract: Recent studies have reported promising results from quantum machine learning in drug discovery, healthcare, materials science and cybersecurity. Research includes compari…
- arXiv cs.AIresearchDiscovering state-of-the-art quantum circuits with large language models
arXiv:2610.22367v1 Announce Type: cross Abstract: Significant efforts are currently being directed toward the implementation of large-scale quantum information processors, but realizing useful quantum advantage also requ…
- Google ResearchresearchBringing the magic: Google breaks open a bottleneck in quantum computing
In a paper published in Science, Google has shown that Magic State Cultivation works on Google Quantum AI hardware.
- Microsoft ResearchresearchProof-based general-purpose computing with Magnetar
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains,…
- arXiv cs.AIresearchNon-Abelian quantum Hall states at strong Landau level mixing: finding anyons with first-principles AI
arXiv:2610.18967v1 Announce Type: cross Abstract: Non-Abelian anyons, strange particles forming the basis of fault-tolerant topological quantum computing, are predicted to emerge in fractional quantum Hall states at even…
- arXiv cs.AIresearchBenchmarking Quantum Kernel SVMs for Credit Card Fraud Detection: Performance Realities Under NISQ Constraints
arXiv:2610.17027v1 Announce Type: new Abstract: Detecting credit card fraud is notoriously difficult because fraudulent charges make up less than 0.2% of total transactions. Quantum Machine Learning (QML), particularly Q…
- arXiv cs.AIresearchA Tutorial on Quantum Amplitude Embedding with Data Re-Uploading
arXiv:2610.17836v1 Announce Type: cross Abstract: Amplitude embedding lets a variational quantum model read many classical features with few qubits, but the model output is then only a quadratic form in the normalized in…
- arXiv cs.AIresearchPhysics-inspired Generative AI models via real hardware-based noisy quantum diffusion
arXiv:2505.22193v2 Announce Type: replace-cross Abstract: Quantum Diffusion Models (QDMs) are an emerging paradigm in Generative AI that aims to use quantum properties to improve the performances of their classical count…
- LessWrongpolicyInformation-Proliferating Dynamics
2.4.0 Now I want to talk about the weirdest feature of our universe's laws, the fact that they are quantum mechanical. As you may be aware, quantum-level processes interact oddly with measurement . 2.4.0.1 In particular,…
- arXiv cs.AIagentsQuSema: Detecting Silent Bugs in Quantum Libraries via Quantum-knowledge-enhanced Agents
arXiv:2610.10258v1 Announce Type: cross Abstract: Quantum libraries are now critical infrastructure for quantum algorithm development, yet their correctness remains difficult to test. Existing testing techniques mainly r…
- arXiv cs.AIresearchQuantum Entangled Multimodal Fusion Networks (QEMFN): Resource-Aware Hybrid Vision-Language Fusion via Trainable Entanglement
arXiv:2610.08216v1 Announce Type: new Abstract: Multimodal vision-language systems typically fuse image and text embeddings through classical operators such as concatenation, attention, bilinear pooling, or tensor intera…
- arXiv cs.AIresearchQubit-centric Transformer for Surface Code Decoding
arXiv:2510.11593v3 Announce Type: replace-cross Abstract: For reliable large-scale quantum computation, quantum error correction (QEC) is essential to protect logical information distributed across multiple physical qubi…
- arXiv cs.AIresearchVariational Quantum Attention for Molecular Graph Learning
arXiv:2610.04588v1 Announce Type: cross Abstract: Molecular property prediction is central to computational drug discovery, where graph neural networks learn to weight neighboring atomic environments during message passi…
- arXiv cs.AIresearchTransformer-Based Time-Series Inference of Lindblad Dynamics in Open Quantum Systems
arXiv:2610.05647v1 Announce Type: cross Abstract: The Lindblad master equation is the standard framework for describing the non-unitary evolution of open quantum systems, where environmental interactions induce dissipati…
- arXiv cs.AIresearchSymmetry and AI-assisted discovery of magic-state factories
arXiv:2610.06535v1 Announce Type: cross Abstract: Magic-state distillation is a major resource cost in fault-tolerant quantum computing. The cost of a magic-state factory depends strongly on its failure rate, which grows…
- arXiv cs.AIresearchEvolving Hybrid Quantum-Classical Architectures for Image Classification
arXiv:2610.03220v2 Announce Type: replace-cross Abstract: Hybrid quantum classical neural networks integrate parameterized quantum circuits (PQCs) with established deep learning architectures, but their performance depen…
- arXiv cs.AIagentsAn Irreducible Quantum Advantage in Aligning World Models with Reality
arXiv:2608.19779v2 Announce Type: replace-cross Abstract: World models provide digital simulacra of the true world, allowing agents to be trained and tested before costly real-world deployment. At each time step, they re…