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#quantum-computing

QSignAI: Quantum-Randomness-Seeded Identity Signatures at the Intersection of AI for Science and Science for AI

arXiv cs.AI ↗ · 2026-06-18 Cached

QSignAI is a production-deployed open-source platform that combines quantum randomness from a Toeplitz two-source extractor with an AI bot on Telegram to generate unique identity signatures, demonstrating a bidirectional relationship between artificial intelligence and quantum science.

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#quantum-computing

Sooner than expected? Useful quantum error correction promised for 2028.

Ars Technica ↗ · 2026-06-17 Cached

Amazon and QuEra promise useful error-corrected quantum computing by 2028 with their Libra hardware, aiming to achieve a million quantum operations over hundreds of logical qubits for scientific applications beyond classical and NISQ computers.

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#quantum-computing

Aligning Quantum Operators with Large Language Models

Hugging Face Daily Papers ↗ · 2026-06-11 Cached

This paper introduces an approach to map unitary operators into the latent space of an LLM, enabling quantum circuit synthesis and language-conditioned gate constraint specification, achieving competitive results on Clifford+T circuit synthesis.

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#quantum-computing

Pick and Place: Carbon Nanotube Nanoassembly Process

Hacker News Top ↗ · 2026-06-08 Cached

C12 unveils Pick & Place, a patented nanoassembly process that precisely positions carbon nanotubes on quantum chips, dramatically increasing manufacturing throughput—50 devices assembled in four weeks versus one year previously—and enabling scalable multi-qubit integration.

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#quantum-computing

@FinanceYF5: Aizpurua team at Multiverse Computing, Spain, proposes using small quantum circuits to expand pretrained large models: instead of stacking parameters, they compress complex mathematical relationships into quantum circuits. Adding only about 6,000 parameters to Llama 3.1 8B (less than 0.01% of the original model) reduces perplexity by 1.4%.

X AI KOLs Following ↗ · 2026-06-08 Cached

The Aizpurua team at Multiverse Computing, Spain, proposes expanding pretrained large models with small quantum circuits. Adding just about 6,000 parameters to Llama 3.1 8B reduces perplexity by 1.4%, demonstrating the feasibility of quantum-circuit-assisted large model scaling.

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#quantum-computing

Coordinated optimization of departure sequencing and section-track allocation in railway short-term concentrated departure scenarios based on qubo and hybrid quantum algorithms

arXiv cs.AI ↗ · 2026-06-08 Cached

This paper presents a QUBO-based model for coordinating departure sequencing and track allocation in railway short-term concentrated departure scenarios, evaluated using simulation and hybrid quantum algorithms. Results show quantum-enhanced methods reduce cost and delay under dynamic conditions.

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#quantum-computing

OQC, JPMorganChase and AMD Commence Research Collaboration to Develop New Quantum-AI Platform in London

Reddit r/artificial ↗ · 2026-06-05 Cached

OQC, JPMorganChase, and AMD have launched a research collaboration to develop a dedicated Quantum-AI Data Centre in London, integrating OQC's GENESIS quantum system with AMD-supported AI and classical computing for financial services applications.

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#quantum-computing

Quantum Computing Is Having Its Public Market Moment

Wired ↗ · 2026-06-04 Cached

Quantinuum is going public on the Nasdaq despite losing nearly $200 million last year, as investor demand for quantum computing stocks surges amid a wave of quantum IPOs in the US. The company is the fourth quantum firm to list in the US this year and the first to go through a traditional IPO process, drawing significant attention from investors and industry watchers.

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#quantum-computing

Microsoft, Atom Computing, EeroQ update their quantum computing progress

Ars Technica ↗ · 2026-06-03 Cached

Microsoft, Atom Computing, and EeroQ provide progress updates on their quantum computing efforts, with Microsoft demonstrating improved stability in topological qubits using new materials, while other companies share incremental advances.

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#quantum-computing

Microsoft Doubles Down on Controversial Quantum Computing Claims

Hacker News Top ↗ · 2026-06-03

Microsoft is reaffirming its controversial claims about quantum computing advancements, sparking debate in the tech community.

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Microsoft reveals new quantum chip made with AI, says it will have systems by 2029

Reddit r/singularity ↗ · 2026-06-02

Microsoft announced a new quantum chip developed using AI, and stated it aims to have working quantum systems by 2029.

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#quantum-computing

Microsoft’s next-gen quantum chip cuts timeline to useful quantum computing

The Verge ↗ · 2026-06-02 Cached

Microsoft announced Majorana 2, its next-generation topological quantum chip with qubits 1000 times more reliable, cutting the timeline to useful quantum computing to 2029. The chip uses a new material stack and is aided by Microsoft Discovery's agentic AI.

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#quantum-computing

Is quantum becoming the next AI infrastructure layer, or is the timeline still too far out?

Reddit r/artificial ↗ · 2026-06-02

The article explores whether quantum computing is becoming a near-term AI infrastructure layer or remains a 5-10 year strategic bet, discussing federal support, big tech involvement, and potential first commercial use cases in optimization, chemistry, cybersecurity, and drug discovery.

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#quantum-computing

Universal Quantum Transformer

arXiv cs.AI ↗ · 2026-06-02 Cached

This paper introduces the Universal Quantum Transformer (UQT), a quantum-native architecture that uses multi-qubit systems for exact mathematical reasoning, achieving deterministic generalization on modular arithmetic and permutation groups while bypassing classical over-parameterization and quadratic attention bottlenecks, with deployment on IBM Quantum hardware.

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#quantum-computing

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits

arXiv cs.LG ↗ · 2026-06-01 Cached

Introduces QASM-Eval, the first comprehensive dataset for training and evaluating LLMs on OpenQASM 3 programs with hardware-oriented features, including expert-verified test and training sets. Evaluation shows that fine-tuning on QASM-Eval significantly improves LLM performance, with Llama-3-70B achieving 85% pass@1, outperforming few-shot GPT-5.2.

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Key Chemistry Question Answered, No Quantum Computer Required

Hacker News Top ↗ · 2026-05-29 Cached

Researchers used classical computers to solve a key chemistry problem involving the nitrogenase enzyme, which was previously thought to require quantum computers, demonstrating that classical methods can still handle complex quantum systems.

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#quantum-computing

Quantum dot qubit using High NA EUV lithography

Hacker News Top ↗ · 2026-05-27 Cached

imec presents the world's first quantum dot qubit device fabricated using High NA EUV lithography, achieving nanometer-scale gaps between qubit control gates, paving the way for industrial scaling of silicon-based quantum computers.

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#quantum-computing

ETH Zurich built an ultra-stable quantum gate across 17,000 qubit pairs

Reddit r/ArtificialInteligence ↗ · 2026-05-26 Cached

ETH Zurich researchers developed an ultra-stable geometric swap gate using neutral atoms, achieving 99.91% precision across 17,000 qubit pairs, marking a significant step toward fault-tolerant quantum computing.

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#quantum-computing

Combining AI With Quantum Computers - The Quantum Singularity

Reddit r/ArtificialInteligence ↗ · 2026-05-26 Cached

The article explores the possibilities of combining quantum computers with AI, such as dramatic increases in computing speed, instant internet, encryption failure, AI going out of control, and even threats to human survival. It also quotes Elon Musk's views, and is overall a personal commentary.

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#quantum-computing

Practical Quantum CIM Empowerment via All-Domestic-Core Agentic Large Model

arXiv cs.AI ↗ · 2026-05-26 Cached

This paper proposes integrating a femtosecond laser-pumped Coherent Ising Machine (CIM) with an LLM-driven agentic system using LangGraph and LangChain, enabling automated QUBO/Ising model calibration and constraint weight iteration, all implemented with domestic large models and hardware.

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