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Xanadu, Rolls-Royce, and Riverlane unlock dramatic improvements for applications to jet engine airflow simulations using quantum computing
Globenewswire· 2025-11-25 14:00
Core Insights - The collaboration between Xanadu, Rolls-Royce, and Riverlane has successfully advanced quantum computing applications for modeling jet engine airflow, significantly reducing simulation runtimes from weeks to under an hour, thus enabling new prototyping opportunities in the aerospace industry [1][5] Company Summaries Xanadu - Xanadu is a Canadian quantum computing company founded in 2016, focused on building practical quantum computers and developing the open-source software library PennyLane [7] - The company has successfully reduced prototyping runtimes by up to 1000-fold for Rolls-Royce, addressing the long wait times associated with traditional simulations [4] - Xanadu's Catalyst compiler was instrumental in optimizing quantum-classical programs for Rolls-Royce, emphasizing the importance of hybrid quantum-classical computing [4][5] Rolls-Royce - Rolls-Royce is a major player in the aerospace industry, providing power solutions and services across multiple sectors, including defense and civil aviation [9][10] - The company reported an annual underlying revenue of £17.8 billion and an underlying operating profit of £2.46 billion in 2024, indicating strong financial performance [11] - Rolls-Royce's collaboration with Xanadu and Riverlane is part of its strategy to leverage advanced technologies to enhance its design processes and product offerings [3][5] Riverlane - Riverlane specializes in Quantum Error Correction (QEC) and partners with over 60% of the world's quantum computer companies to address challenges in achieving utility-scale quantum systems [12] - The company contributed novel quantum algorithms to the collaboration, enhancing the overall efficiency of the simulation workflow for Rolls-Royce [4][5] - Riverlane's expertise in QEC is crucial for unlocking the potential of quantum computing in various industries, including aerospace [12]
Rigetti Supports NVIDIA NVQLink, NVIDIA's New Open Platform for AI Supercomputer-Quantum Integration
Globenewswire· 2025-10-28 20:05
Core Insights - Rigetti Computing is collaborating with NVIDIA to support NVQLink, an open platform for integrating AI supercomputing with quantum computers [1][4] - The integration aims to enhance hybrid quantum-classical computing capabilities, leveraging Rigetti's superconducting qubits for fast gate speeds and scalability [3][4] Company Overview - Rigetti Computing is a pioneer in full-stack quantum computing, operating quantum computers over the cloud since 2017 and offering on-premises systems with qubit counts between 24 and 84 [6] - The company introduced its 9-qubit Novera™ QPU in 2023, designed for high-performance integration with existing cryogenic and control systems [6] Technological Developments - NVQLink provides low latency and high throughput connectivity between CPUs, GPUs, and QPUs, facilitating the development of hybrid quantum-classical applications [4] - The collaboration with NVIDIA builds on previous efforts to utilize AI tools for quantum computing operations, including the successful calibration of a Novera™ QPU with NVIDIA DGX Quantum [5]
The Quantum Leap: How 2024-2025 Became the Turning Point for Quantum Computing
Medium· 2025-10-08 13:23
Core Insights - The period of 2024-2025 is marked as a pivotal moment for quantum computing, characterized by significant advancements that bridge the gap between quantum theory and practical applications [2][45] Breakthroughs in Error Correction - Google's Willow chip achieved a significant milestone by halving the error rate with each increase in qubit arrays, demonstrating "below threshold" performance, a long-sought goal in quantum error correction [5] - Microsoft's collaboration with Quantinuum resulted in an 800-fold reduction in quantum error rates through "qubit virtualization," showcasing a shift from combating errors to managing them [6] - By November 2024, Microsoft and Atom Computing entangled 24 logical qubits, demonstrating coherence across a large network of logical units [8] Hardware Innovations - The quantum computing landscape is diversifying beyond superconducting circuits, with photonic quantum computing emerging as a notable alternative, exemplified by PsiQuantum's Omega chipset achieving 99.98% fidelity for single-qubit operations [10] - Neutral atom quantum computing, led by Atom Computing, allows for high connectivity and packing of qubits in smaller spaces [11] - IBM's roadmap includes the development of a fault-tolerant quantum computer named Quantum Starling, targeting 100 million quantum operations with 200 logical qubits by 2029 [13][14] Practical Applications - Drug discovery is highlighted as a promising application, with PolarisQB using D-Wave's systems to compress timelines from years to weeks, analyzing billions of compounds [18] - Terra Quantum achieved 97% accuracy in identifying viable liver transplants using a hybrid quantum neural network [20] - Quantum technology is also being explored for military applications, with DARPA investing over $100 million in quantum sensors for defense purposes [22] Investment Trends - Venture capital funding for quantum computing surged to $2.6 billion in 2024, a 58% increase from 2023, indicating a shift towards commercialization [25] - Global quantum industry revenue reached $1.45 billion in 2024, with projections exceeding $2 billion for 2025 [26] - Hardware companies received the majority of funding in early 2025, reflecting growing confidence in the maturity of quantum hardware [27] Market Reactions and Criticism - Nvidia's CEO Jensen Huang's comments at CES 2025 led to a significant drop in quantum computing stocks, suggesting skepticism about the timeline for practical quantum computers [28] - Quantum computing CEOs countered these claims, emphasizing the real-world applications of their technologies [29][30] Hybrid Computing Future - Microsoft's Azure Quantum Elements platform exemplifies a hybrid approach, combining quantum and classical computing to leverage their respective strengths [31] - This hybrid model allows for specialized quantum processors to work alongside classical systems, optimizing performance for specific problems [33] Overall Progress and Future Outlook - The quantum computing field is experiencing consistent progress across multiple fronts, including hardware improvements, error correction breakthroughs, and emerging applications [41][43] - The timeline for achieving quantum milestones is becoming clearer, with IBM and PsiQuantum setting ambitious targets for the coming years [38] - The quantum computing industry is transitioning from a research focus to a competitive technology landscape, with commercial sales reaching $854 million in 2024, a 70% increase from 2023 [40]