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AIQuantumAndScienceNews @AIQuantumLifeEx

Daily news focusing on AI, Quantum, Life Extension, Science, Longevity, Fusion, BrainMachine interface, Biotech, and NeuroScience.

Joined September 2025
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From Data to Theory: Autonomous Large Language Model Agents for Materials Science Preprint: This research introduces an autonomous LLM agent for developing materials science the… arxiv.org/abs/2604.19789 #AI #MaterialsScience #MachineLearning #Preprint #Arxiv #ScienceNews

From Data to Theory: Autonomous Large Language Model Agents for...

We present an autonomous large language model (LLM) agent for end-to-end, data-driven materials theory development. The model can choose an equation form, generate and run its own code, and test...

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CVaR-Assisted Custom Penalty Function for Constrained Optimization Preprint: This study proposes a slack-free penalty formulation for constrained binary optimization, eliminating auxil… arxiv.org/abs/2604.20088 #QuantumComputing #Optimization #Preprint #Arxiv #ScienceNews

CVaR-Assisted Custom Penalty Function for Constrained Optimization

Constrained combinatorial optimization problems are frequently reformulated as quadratic unconstrained binary optimization (QUBO) models in order to leverage emerging quantum optimization...

arxiv.org
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Automated Detection of Dosing Errors in Clinical Trial Narratives: A Multi-Modal Feature Engineering Approach with LightGBM Preprint: This study presents an automated system using… arxiv.org/abs/2604.19759 #AI #ClinicalTrials #MachineLearning #Preprint #Arxiv #ScienceNews

Automated Detection of Dosing Errors in Clinical Trial Narratives:...

Clinical trials require strict adherence to medication protocols, yet dosing errors remain a persistent challenge affecting patient safety and trial integrity. We present an automated system for...

arxiv.org
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MIRROR: A Hierarchical Benchmark for Metacognitive Calibration in Large Language Models Preprint: MIRROR evaluates large language models on metacognitive calibration across four l… arxiv.org/abs/2604.19809 #AI #LanguageModels #MachineLearning #Preprint #Arxiv #ScienceNews

MIRROR: A Hierarchical Benchmark for Metacognitive Calibration in...

We introduce MIRROR, a benchmark comprising eight experiments across four metacognitive levels that evaluates whether large language models can use self-knowledge to make better decisions. We...

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Complexity of quantum states in the stabilizer formalism Preprint: This study proposes an information-theoretic quantifier for the complexity of quantum states within the stabilizer formali… arxiv.org/abs/2604.20118 #Quantum #QuantumComputing #Preprint #Arxiv #ScienceNews

Complexity of quantum states in the stabilizer formalism

We initiate an investigation into a notion of state complexity for discrete-variable quantum systems. Specifically, we propose an information-theoretic quantifier for the complexity of quantum...

arxiv.org
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Harmful Intent as a Geometrically Recoverable Feature of LLM Residual Streams Preprint: The study identifies harmful intent as a geometrically recoverable feature in large language… arxiv.org/abs/2604.18901 #AI #LLM #Security #MachineLearning #Preprint #Arxiv #ScienceNews

Harmful Intent as a Geometrically Recoverable Feature of LLM...

Aligned language models refuse harmful instructions, but the representations through which they recognise such instructions are less well characterised than the behaviours they produce. Harmful...

arxiv.org
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Quantum inspired qubit qutrit neural networks for real time financial forecasting Preprint: This study compares the performance of quantum-inspired neural networks in financ… arxiv.org/abs/2604.18838 #QuantumComputing #Finance #NeuralNetworks #Preprint #Arxiv #ScienceNews

Quantum inspired qubit qutrit neural networks for real time...

This research investigates the performance and efficacy of machine learning models in stock prediction, comparing Artificial Neural Networks (ANNs), Quantum Qubit-based Neural Networks (QQBNs),...

arxiv.org
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TabEmb: Joint Semantic-Structure Embedding for Table Annotation Preprint: TabEmb proposes a method for table annotation that captures both semantic and structural informatio… arxiv.org/abs/2604.18939 #AI #NLP #TableAnnotation #MachineLearning #Preprint #Arxiv #ScienceNews

TabEmb: Joint Semantic-Structure Embedding for Table Annotation

Table annotation is crucial for making web and enterprise tables usable in downstream NLP applications. Unlike textual data where learning semantically rich token or sentence embeddings often...

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Quantum Decoherence of the Surface Code: A Generalized Caldeira-Leggett Approach Preprint: This study uses the generalized Caldeira-Leggett framework to analyze quantum decoherence in s… arxiv.org/abs/2604.18968 #QuantumComputing #Decoherence #Preprint #Arxiv #ScienceNews

Quantum Decoherence of the Surface Code: A Generalized...

Standard quantum error correction (QEC) models typically assume discrete, Markovian noise, obscuring the continuous quantum nature of physical environments. In this manuscript, we investigate the...

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Exponentially-improved effective descriptions of physical bosonic systems Preprint: This research identifies a condition allowing exponential improvement in the effective dimension s… arxiv.org/abs/2604.18720 #QuantumComputing #BosonicSystems #Preprint #Arxiv #ScienceNews

Exponentially-improved effective descriptions of physical bosonic systems

The effective description of a bosonic quantum system identifies the minimum finite dimension required to capture its essential dynamics. This effective dimension plays an important role in the...

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Learning Lifted Action Models from Unsupervised Visual Traces Preprint: This study presents a deep learning framework for learning lifted action models from sequences of state image… arxiv.org/abs/2604.19043 #AI #DeepLearning #MachineLearning #Preprint #Arxiv #ScienceNews

Learning Lifted Action Models from Unsupervised Visual Traces

Efficient construction of models capturing the preconditions and effects of actions is essential for applying AI planning in real-world domains. Extensive prior work has explored learning such...

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Wave--particle transition and quantum Zeno effect in which-way experiments with a superconducting quantum processor Preprint: This study demonstrates wave-particle… arxiv.org/abs/2604.19115 #QuantumMechanics #Superconducting #QuantumComputing #Preprint #Arxiv #ScienceNews

Wave--particle transition and quantum Zeno effect in which-way...

Wave--particle duality demonstrates the peculiar nature of quantum mechanics. In which-way experiments, depending on the measurement scheme, a particle exhibits either wave-like or particle-like...

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Efficient Routing of Quantum LDPC Codes on Programmable 2D Toric Architectures Preprint: This work introduces a co-design for implementing quantum LDPC codes on 2D toric architectures. It addr… arxiv.org/abs/2604.18714 #QuantumComputing #LDPC #Preprint #Arxiv #ScienceNews

Efficient Routing of Quantum LDPC Codes on Programmable 2D Toric...

Quantum low-density parity-check codes are promising candidates towards scalable fault-tolerant quantum computation. Among these, bivariate bicycle (BB) codes offer superior encoding rates and...

arxiv.org
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Towards Automated Selection of Quantum Encoding Circuits via Meta-Learning Preprint: This study proposes an automated recommender system for selecting optimal quantum encoding circuits… arxiv.org/abs/2604.19076 #QuantumComputing #MetaLearning #Preprint #Arxiv #ScienceNews

Towards Automated Selection of Quantum Encoding Circuits via Meta-Learning

In recent years, quantum kernel methods have shown promising applications on near-term quantum devices. However, selecting an appropriate encoding circuit for a given dataset requires costly...

arxiv.org
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On-demand generation of all four Bell states using a single PPKTP entangled photon source Preprint: This study presents a high-brightness entangled photon source capable of gener… arxiv.org/abs/2604.19013 #Quantum #Photonics #QuantumComputing #Preprint #Arxiv #ScienceNews

On-demand generation of all four Bell states using a single PPKTP...

We present a compact, automated, high-brightness entangled photon source capable of generating all four Bell states with high fidelity. The system utilizes a type-0 quasi-phase-matched PPKTP...

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MonteQ: A Monte Carlo Tree Search Based Quantum Circuit Synthesis Framework Preprint: MonteQ is a novel framework for quantum circuit synthesis in Hamiltonian simulation. It combine… arxiv.org/abs/2604.19029 #QuantumComputing #QuantumCircuits #Preprint #Arxiv #ScienceNews

MonteQ: A Monte Carlo Tree Search Based Quantum Circuit Synthesis Framework

Hamiltonian simulation is one of the most promising paths toward quantum advantage. Most prior approaches to Hamiltonian simulation circuit synthesis focus on local rewrite rules and low-level...

arxiv.org
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Classically Forbidden Signatures of Quantum Coherence in the Mesoscopic Lipkin-Meshkov-Glick Model Preprint: This study derives conditions under which a collective quantum… arxiv.org/abs/2604.18638 #Quantum #QuantumCoherence #QuantumComputing #Preprint #Arxiv #ScienceNews

Classically Forbidden Signatures of Quantum Coherence in the...

We derive strict quantitative conditions under which a collective quantum system of N~370 spins exhibits classically forbidden temporal correlations in a spinor Bose-Einstein condensate (BEC). The...

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Many-Body Amplified Nonclassical Photon Emission in Cavity-Coupled Atomic Arrays Preprint: This study demonstrates that cavity-mediated interactions in atomic arrays… arxiv.org/abs/2604.15604 #QuantumPhotonics #AtomicArrays #QuantumComputing #Preprint #Arxiv #ScienceNews

Many-Body Amplified Nonclassical Photon Emission in Cavity-Coupled...

The generation of high-performance nonclassical light remains a cornerstone of quantum technologies, yet faces a fundamental trade-off between emission purity and brightness. Here, we demonstrate...

arxiv.org
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Classical and Quantum Machine Learning for Population-Level Prediction of Heat-Related Physiological Events Preprint: This work proposes a framework integratin… arxiv.org/abs/2604.15382 #QuantumMachineLearning #ClimateImpact #QuantumComputing #Preprint #Arxiv #ScienceNews

Classical and Quantum Machine Learning for Population-Level...

Predicting heat-related physiological events at the population level is challenging due to the complex interactions among climatic, demographic, and socioeconomic factors, as well as the strong...

arxiv.org
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Approximate Cosine Similarity Estimation via an Angle-Encoding Hadamard Test Preprint: This study explores an angle-encoding variant of the Hadamard test for estimating cosine similari… arxiv.org/abs/2604.15867 #QuantumComputing #HadamardTest #Preprint #Arxiv #ScienceNews

Approximate Cosine Similarity Estimation via an Angle-Encoding...

The Hadamard test is a standard quantum primitive for estimating inner products and expectation values, but in data-processing settings its practical utility is often limited by the cost of...

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