Core Insights - Rail Vision Ltd. has announced a significant technical breakthrough through its subsidiary Quantum Transportation, achieving a prototype of a transformer-based neural decoder aimed at enhancing quantum error correction (QEC) [1][3] Group 1: Technical Breakthrough - The first-generation transformer-based neural decoder is a code-agnostic solution designed to improve scalable quantum error correction [1] - The decoder utilizes advanced transformer architectures, demonstrating superior decoding accuracy and efficiency in simulations compared to classical algorithms like Minimum-Weight Perfect Matching (MWPM) and Union-Find [2] Group 2: Collaboration and Future Applications - The breakthrough supports ongoing collaboration between Rail Vision and Quantum Transportation, combining their respective technologies to enhance railway safety and data analysis [3] - The companies are exploring long-term applications of similar data analysis methodologies in Rail Vision's core technology, which focuses on railway safety and efficiency [3] Group 3: Quantum Transportation Overview - Quantum Transportation aims to develop a Quantum Error Correction Simulator powered by a patented Transformer-based Universal Decoder, which generalizes across quantum codes and learns from noise patterns [4] - The patented Deep Quantum Error Correction Transformer (DQECCT) introduces a machine-learning decoder that optimizes error correction across various quantum codes, including Surface, Color, Bicycle, and Product Codes [4] Group 4: Rail Vision Overview - Rail Vision is a development stage technology company focused on revolutionizing railway safety and the data-related market through AI-based technologies [5] - The company aims to enhance railway safety, increase operational efficiency, and reduce costs for railway operators, with aspirations to advance autonomous train technology [5]

Core Insights - Viewbix Inc. has made a significant advancement in its quantum-focused initiatives through its subsidiary Quantum Transportation Ltd., achieving Milestone 1 in the Transformer-Based Quantum Decoder program [1][3] Group 1: Milestone Achievements - Milestone 1 was successfully completed, which is crucial for the company's intellectual property license from Ramot at Tel Aviv University, related to a pending patent for a machine-learning-powered Quantum Error Correction (QEC) decoder [3][4] - Quantum computers are recognized for their potential to solve complex problems across various fields, but they face challenges due to noise and error-prone qubits, making Quantum Error Correction a critical hurdle for practical applications [2][6] Group 2: Future Plans - Quantum Transportation is progressing to Milestone 2, which involves developing a System Proof of Concept, including thorough patent feasibility assessments and in-depth research into QEC models [4][6] - The company is exploring real-world implementation paths and has initiated early discussions with potential design partners and collaborators [8] Group 3: Acquisition Details - Viewbix has signed a definitive agreement to acquire up to 100% of Quantum X Labs, which includes an expanding patent portfolio related to quantum error correction [4] - The acquisition is expected to close within 90 days from December 15, 2025, pending due diligence and regulatory approvals, with stockholder consent already obtained [4]

Core Insights - Viewbix Inc. announced that its subsidiary Quantum Transportation Ltd. has successfully completed Milestone 1 in the Quantum Decoder program, marking significant progress towards a universal neural decoder for quantum error correction [1][2] Milestone Achievements - Milestone 1 included a Patent Feasibility Assessment, Comprehensive Quantum Error Correction Model Research, and Finalization of the Transformer Architecture, fulfilling a key condition under the sub-license agreement with Ramot at Tel Aviv University [2][3] - The completion of Milestone 1 transitions the program from early-stage research to a validated architecture ready for prototyping and real-world validation, showing strong potential to outperform traditional decoding methods [3][4] Future Developments - Following Milestone 1, Quantum Transportation will advance to Milestone 2, which will focus on System Proof of Concept, including expanded simulations and initial engagements with design partners [5] - The strategic focus on quantum technologies is underscored by Viewbix's agreement to acquire up to 100% of Quantum X Labs, which includes an expanding patent portfolio related to quantum error correction [6]

Core Insights - Rail Vision Ltd. has announced a significant technical breakthrough through its subsidiary Quantum Transportation, achieving a prototype of a transformer-based neural decoder aimed at enhancing quantum error correction (QEC) [1][3] Group 1: Technical Achievements - The new decoder utilizes advanced transformer architectures, demonstrating superior decoding accuracy and efficiency compared to classical algorithms like Minimum-Weight Perfect Matching (MWPM) and Union-Find [2] - The prototype has shown strong performance in simulations across various quantum error correction codes and realistic noise environments, indicating its generalizability and effectiveness [2][6] Group 2: Strategic Collaboration - The breakthrough supports the collaboration between Rail Vision and Quantum Transportation, combining their respective technologies to enhance railway safety and data analysis capabilities [3][4] - The companies are exploring long-term applications of the decoder's methodologies in Rail Vision's core technology, potentially advancing the concept of autonomous trains [3][5] Group 3: Future Developments - Quantum Transportation plans to develop a Quantum Error Correction Simulator powered by the patented transformer-based universal decoder, which aims to outperform classical decoders in both accuracy and speed [4][6] - The technology is designed to adapt to various quantum codes, including Surface, Color, Bicycle, and Product Codes, and incorporates advanced machine-learning techniques for error prediction and refinement [4][6]

Core Insights - Rail Vision Ltd. has announced a significant technical breakthrough through its subsidiary Quantum Transportation, achieving a prototype of a transformer-based neural decoder aimed at enhancing quantum error correction (QEC) [1][3] Group 1: Technical Achievements - The new decoder utilizes advanced transformer architectures, demonstrating superior decoding accuracy and efficiency compared to classical algorithms like Minimum-Weight Perfect Matching (MWPM) and Union-Find [2] - The prototype has shown strong performance in simulations across various quantum error correction codes and realistic noise environments, indicating its generalizability and effectiveness [2][6] Group 2: Strategic Collaboration - The breakthrough supports the collaboration between Rail Vision and Quantum Transportation, combining their respective technologies to enhance railway safety and data analysis capabilities [3][4] - The companies are exploring long-term applications of the decoder's methodologies in Rail Vision's core technology, potentially advancing the concept of autonomous trains [3][5] Group 3: Future Developments - Quantum Transportation plans to develop a Quantum Error Correction Simulator powered by the patented transformer-based universal decoder, which aims to outperform classical decoders in both accuracy and speed [4][6] - The technology is designed to adapt to various quantum codes, including Surface, Color, Bicycle, and Product Codes, and incorporates advanced machine-learning techniques for error prediction and refinement [4][6]

Investor Presentation January 2026 Cautionary Notes Forward Looking Statements: Certain statements in this presentation may be considered forward-looking statements, including statements with respect to the Company's outlook and expectations, including expectations with respect to a plan to deliver 108Q chiplet-based system at 99.5% median 2Q gate fidelity around the end of Q1 2026 and to reach 1,000+Q at 99.9% median 2Q median fidelity at <50 ns gate speed in 3-5 years to enable quantum advantage; an antic ...

Quantum Computing Challenges & Solutions - Quantum bits (Qbits) are fragile and sensitive to noise, limiting their stability to a few hundred operations, while solving meaningful problems requires trillions of operations [1] - Quantum error correction is crucial, involving adding extra entangled Qbits to measure and calculate errors without damaging the core Qbits [2] NVIDIA's Solution: NVQ Link & CUDAQ - NVIDIA introduces NVQ Link, an interconnect architecture directly connecting quantum processors with NVIDIA GPUs for quantum error correction [3] - NVQ Link facilitates the transfer of terabytes of data to and from quantum hardware thousands of times per second, essential for quantum error correction [3] - CUDAQ, NVIDIA's open platform for quantum GPU computing, enables researchers to perform error correction and orchestrate quantum devices and AI supercomputers [4] Future of Quantum Computing - Quantum computing will not replace classical systems but will integrate with them to form accelerated quantum supercomputing platforms [4]

Quantum Computing Technology - The company utilizes superconducting electrical circuits to construct quantum computers, leveraging macroscopic currents and voltages that exhibit quantum mechanical behavior [1] - Integrated circuit fabrication technology, similar to that used for computer chips, is employed to build complex quantum systems [2] - Achieving practical applications necessitates larger machines, potentially requiring millions (百万) or billions (十亿) of lines of code [3] Error Correction and Scalability - Reducing cubit errors by millions (百万) or billions (十亿) is essential for scaling quantum computers, necessitating quantum error correction [3] - Quantum error correction is identified as a frontier research area for advancing quantum computing [3]

Core Insights - BTQ Technologies Corp. has announced a peer-reviewed research collaboration with Macquarie University, demonstrating a practical method for quantum error correction using shared cavity technology, which simplifies the operation of quantum systems [1][6][9] Research Findings - The study reveals that high-performing quantum low density parity check (qLDPC) codes can be measured in a fault-tolerant manner by connecting qubits through a shared cavity, eliminating the need for physical movement of qubits [4][5][10] - Simulations incorporating realistic noise sources indicate promising performance, suggesting that this method can be implemented on platforms like neutral atom quantum computers [4][10] Implications for BTQ - This breakthrough strengthens BTQ's focus on developing reliable quantum systems for secure communications and advanced cryptography by reducing control complexity and implementation risks [6][8][11] - The results were presented at CERN, enhancing BTQ's visibility and validation in the quantum technology field [6][9] Technical Overview - The research utilizes hypergraph product and lifted product codes with nonlocal stabilizers, relying on a deterministic cavity-mediated many-body gate to create and read nonlocal GHZ states [10] - The target hardware operates at cavity cooperativity levels between ten thousand to one million, compatible with neutral atom platforms [10] Future Directions - BTQ plans to integrate these techniques into reference designs and simulations, collaborate with partners on hardware pathways, and aim for near-term demonstrations in real devices [6][11] - The outcome is expected to accelerate the development of fault-tolerant prototypes capable of executing complex algorithms, aligning with BTQ's product strategy [9][11]

Summary of IonQ 2025 Analyst Day Company Overview - **Company**: IonQ (NYSE: IONQ) - **Industry**: Quantum Computing and Networking Key Points and Arguments 1. **Market Leadership**: IonQ claims to have led the quantum computing market for nearly thirty years and aims to continue this leadership for the next thirty years [2][4][8] 2. **Technological Advancements**: The company has demonstrated Quantum Advantage twice in 2025 with partners like NVIDIA and AstraZeneca, showcasing significant progress in quantum computing capabilities [4][25] 3. **Regulatory Approval**: IonQ has received regulatory approval for its merger with Oxbryonics, which is expected to enhance its technological roadmap and market position [5][9] 4. **Patent Portfolio Growth**: IonQ's patent portfolio has grown from approximately 35 patents at IPO to 1060 patents, indicating strong innovation and intellectual property development [6] 5. **Error Correction and Fidelity**: IonQ emphasizes its superior hardware that minimizes the need for error correction, achieving high fidelity records in quantum computing [7][15] 6. **Computational Space**: The AQ64 system prototype is reported to be 36 times larger in computational space than any system IBM has publicly unveiled, highlighting IonQ's technological edge [8][16] 7. **Cost Efficiency**: IonQ claims its cost of goods sold for a fully fault-tolerant system is under $30 million, significantly lower than competitors, which are described as orders of magnitude more expensive [15][67] 8. **Future Roadmap**: IonQ plans to deliver 2 million physical qubits by the end of the decade, which is five years ahead of competitors [46][47] 9. **Quantum Networking**: The company is also focusing on quantum networking, which is seen as essential for cybersecurity in the face of evolving threats from quantum computing [30][88] Additional Important Content 1. **Sovereignty in Computing**: IonQ highlights the growing demand for sovereign systems in quantum computing, which aligns with geopolitical trends favoring national control over technology [14] 2. **Quantum AI and Machine Learning**: The potential for quantum machine learning and AI is emphasized, with expectations of significant cost advantages over classical systems [28][29] 3. **Strategic Talent Acquisition**: IonQ has recruited top talent from various sectors to drive technical and commercial advancements, enhancing its competitive position [20] 4. **Benchmarking and Performance Metrics**: IonQ is anchoring its roadmap against benchmarks like algorithmic qubits, which measure the number of useful qubits in a system [42] 5. **Quantum Security Solutions**: The acquisition of ID Quantique is aimed at enhancing quantum security solutions, addressing the urgent need for robust cybersecurity in a quantum future [87][88] Conclusion IonQ is positioned as a leader in the quantum computing and networking industry, with a strong focus on technological advancements, cost efficiency, and strategic partnerships. The company is preparing for significant growth and market expansion in the coming years, driven by its innovative technologies and a robust roadmap.