·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Cursor makes its biggest India push yet ahead of SpaceX acquisition with localized pricing1h◆Agentic Permissions Policy Algebra for Taint Confinement in LLM Agents2h◆Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects2h◆Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks2h◆The One-Word Census: Answer-Choice Conformity Across 44 Language Models2h◆Creative Integration: A Decidable Criterion of Creativity2h◆BERT-based Models vs. Large Language Models for Low-Resource Named Entity Recognition: A Comparative Study on Marathi2h◆Joint Optimization for Greedy Longest-match Tokenization2h◆Formally Verified Synthesizable Floating-Point Data Types in ARCH HDL2h◆Kimi K3: Open Frontier Intelligence2h◆The Few-shot Dilemma: Over-prompting Large Language Models2h◆Speculative Pipeline Decoding: Higher-Accuracy Drafting with Hidden Latency via Pipeline Parallelism2h◆Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions2h◆Bayesian Complete-Pooling in Cross-Subject Classification for Motor Imagery Electroencephalogram2h◆StageGuard: Physiologically Constrained Sleep Staging2h◆Soft-Constrained Optimization of Latent Space in Variational Autoencoders2h◆Beyond Error-vs-Discard Characteristic: Toward Stable and Reliable Evaluation for Face Image Quality Assessment2h◆Photonic reservoir computing with complex networks2h◆Analyzing the Importance of Blank for CTC-Based Knowledge Distillation2h◆Predicting Channel Closures in the Lightning Network with Machine Learning2h◆Cursor makes its biggest India push yet ahead of SpaceX acquisition with localized pricing1h◆Agentic Permissions Policy Algebra for Taint Confinement in LLM Agents2h◆Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects2h◆Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks2h◆The One-Word Census: Answer-Choice Conformity Across 44 Language Models2h◆Creative Integration: A Decidable Criterion of Creativity2h◆BERT-based Models vs. Large Language Models for Low-Resource Named Entity Recognition: A Comparative Study on Marathi2h◆Joint Optimization for Greedy Longest-match Tokenization2h◆Formally Verified Synthesizable Floating-Point Data Types in ARCH HDL2h◆Kimi K3: Open Frontier Intelligence2h◆The Few-shot Dilemma: Over-prompting Large Language Models2h◆Speculative Pipeline Decoding: Higher-Accuracy Drafting with Hidden Latency via Pipeline Parallelism2h◆Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions2h◆Bayesian Complete-Pooling in Cross-Subject Classification for Motor Imagery Electroencephalogram2h◆StageGuard: Physiologically Constrained Sleep Staging2h◆Soft-Constrained Optimization of Latent Space in Variational Autoencoders2h◆Beyond Error-vs-Discard Characteristic: Toward Stable and Reliable Evaluation for Face Image Quality Assessment2h◆Photonic reservoir computing with complex networks2h◆Analyzing the Importance of Blank for CTC-Based Knowledge Distillation2h◆Predicting Channel Closures in the Lightning Network with Machine Learning2h◆
News/QFoldAgent: An Autonomous Quantum Optimization Multi-Agent System for Protein Structure Prediction
arxiv
PublishedJuly 28, 2026 at 4:00 AM
—neutral

QFoldAgent: An Autonomous Quantum Optimization Multi-Agent System for Protein Structure Prediction

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2607.22549v1 Announce Type: new Abstract: Hybrid quantum-classical protein structure prediction depends strongly on Hamiltonian penalty weights, yet existing lattice-based workflows typically fix these coefficients by hand and evaluate only very short fragments in simulation. We present QFoldA

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivAgentic Permissions Policy Algebra for Taint Confinement in LLM Agents2harxivSparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects2harxivBeyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks2harxivThe One-Word Census: Answer-Choice Conformity Across 44 Language Models2h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews