Core Insights - IQM Quantum Computers and Zurich Instruments have launched a real-time quantum error correction demonstrator utilizing NVIDIA's NVQLink platform, marking a significant step towards scalable and fault-tolerant quantum computing for enterprise and datacenter applications [1][2][6] Group 1: Project Overview - The joint project aims to address the challenges of reliably operating quantum computers and integrating them into existing infrastructures, focusing on full-system integration for industrial-grade quantum computing [2][4] - The demonstrator combines IQM's 20-qubit superconducting quantum computer, Zurich Instruments' ZQCS Quantum Control System, and GPU-accelerated classical computing through NVQLink, enabling low-latency decoding and feedback necessary for operating logical qubits at scale [3][6] Group 2: Strategic Importance - This initiative establishes a foundation for standardized enterprise-ready quantum systems and datacenter deployment, paving the way for scalable and fault-tolerant quantum computers [4][6] - The collaboration emphasizes the convergence of quantum processors and supercomputing, expanding the range of problems that can be addressed through advanced computing [8] Group 3: Leadership Perspectives - Jan Goetz, CEO of IQM, highlighted the importance of building infrastructure for widespread and routine use of quantum computing, stating that the demonstrator is a step towards accessible fault-tolerant quantum systems [5] - Andrea Orzati, CEO of Zurich Instruments, noted that the ZQCS is designed to run quantum systems reliably within supercomputing infrastructures, showcasing the integration of logical qubits with real-time classical computing [7]

Core Insights - Rigetti Computing is focused on advancing superconducting gate-based quantum computing, emphasizing technical validation and disciplined execution in 2025 [2][3] Technical Developments - The company has deployed multiple systems to the cloud, including an 84-qubit monolithic chip system and a 36-qubit chiplet-based system, demonstrating the practicality of chiplet tiling [1] - Rigetti achieved a prototype result with 2-qubit gate fidelity as high as 99.9% at a 28-nanosecond gate speed, while maintaining 99.9% 1-qubit gate fidelity [1] - Median 2-qubit gate fidelities reported are 99.7% for a 9-qubit system, 99.6% for a 36-qubit system, and 99% for the 108-qubit system named Cepheus-1-108Q [1][6] Financial Overview - Rigetti reported Q4 2025 revenue of $1.9 million, down from $2.3 million in the prior year, with gross margin at 35% compared to 44% a year earlier [13] - Total operating expenses for Q4 were $23.2 million, up from $19.5 million a year ago, with a significant portion allocated to R&D [14] - The company ended 2025 with approximately $590 million in cash and investments, a significant increase from about $217 million at the end of 2024 [17] Customer Orders and Partnerships - Rigetti is building an on-premises order pipeline, including an $8.4 million order from India's C-DAC for a 108-qubit system and approximately $5.7 million in orders for two 9-qubit Novera systems [4][10] - The company is collaborating with Riverlane on quantum error correction and with NVIDIA to integrate quantum systems with AI supercomputing [16] Deployment Updates - The general availability of the Cepheus-1-108Q has been delayed to address stability issues, with a target deployment around the end of March, aiming for approximately 99.5% median 2-qubit fidelity and 99.9% 1-qubit fidelity [5][7]

Core Viewpoint - MicroCloud Hologram Inc. has developed a high-performance surface code quantum simulation platform based on FPGA technology, which significantly enhances quantum error correction capabilities and addresses the challenges of traditional simulation methods [1][2]. Group 1: Technology Development - The new simulator utilizes FPGA's parallel processing and reconfigurable architecture to provide real-time, high-fidelity simulations of quantum error correction [1]. - The simulator focuses on the rotated distance surface code, which optimizes qubit arrangement, reducing the number of physical qubits needed while maintaining high error correction performance [1][2]. - Compared to traditional surface codes, the rotated distance surface code requires nearly half the resources, achieving the same code distance with fewer qubits [1]. Group 2: Performance and Efficiency - HOLO's simulator demonstrates over a 5-fold speed increase compared to GPU-based simulators when simulating distance-5 rotated codes, while also reducing power consumption by 30% [2]. - The simulator supports a real-time feedback loop, allowing users to inject custom error patterns and observe error correction effects immediately, which is crucial for debugging quantum algorithms [2]. Group 3: Future Prospects - The FPGA-based surface code quantum simulator represents a significant advancement in quantum computing, laying a solid foundation for the development of fault-tolerant quantum computers [2]. - As the technology matures, it is expected to accelerate the quantum revolution, positioning MicroCloud Hologram Inc. as a leader in quantum holography and quantum computing technology [2].

a long journey to realize quantum's full potential. One date stands out, December the 9th, 2024. It was on this day that Google unveiled its Willow quantum computing chip.That announcement spurred a rush from investors seeking to get exposure to the burgeoning technology with publicly traded quantum firms soaring in the US. But more than a year on, are we getting closer to quantum going mainstream. Very pleased to say joining me now around the desk are some of the top names in Europe working towards that ve ...

TOM: YOU ARE WATCHING "BLOOMBERG TECH: EUROPE." COMING UP WE STEP INTO THE WORLD OF QUANTUM COMPUTING. MACHINES. MANY BELIEVE WILL REDEFINE HOW HIGH PERFORMANCE PROCESSING AND THE SPEED AT WHICH WE CRUNCH DATA.THE TECHNOLOGY COULD TRANSFORM ENTIRE INDUSTRIES FROM DRUG DISCOVERY AND CYBER SECURITY TO GLOBAL FINANCE AND NATIONAL DEFENSE. A LEADING QUANTUM ENTREPRENEUR TELLS US EUROPE COULD ACTUALLY WIN IN THE FRONTIER TECH IF THE AMBITION IS BACKED. >> YOU ONLY CREATE THIS POSITION OF STRENGTH IF YOU ACTUALLY ...

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]