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JPMorgan Chase releases open source quantum software library
JPMorgan Chase releases open source quantum software library

Finextra

time15-05-2025

  • Business
  • Finextra

JPMorgan Chase releases open source quantum software library

JPMorgan Chase and technology company Infleqtion have released a new open source quantum software library designed to improve the efficiency of potential applications and use cases. 1 The qLDPC library introduces advanced error-correction techniques that enable 10-100x reductions in the number of physical qubits required to run quantum programs. This step-change improvement addresses the sheer scale of hardware typically needed to achieve practical fault tolerance. Historically, building a fault-tolerant quantum computer has required massive overhead: it's been estimated that a single logical, error-corrected qubit might need up to 1,500 physical qubits to function reliably. By contrast, the new library reduces that requirement to between 15 and 150, depending on the implementation, dramatically shrinking the hardware footprint needed for real-world applications. To encourage collaboration and ongoing innovation, qLDPC is available as an open-source library, allowing developers, researchers, and hardware partners to engage directly with the codebase. The project is intended as a shared foundation for quantum developers to explore new methods for improving error correction and optimizing quantum workloads across a variety of platforms. 'Efficient error correction is one of the key enablers for commercially relevant quantum computing,' says Pranav Gokhale, general manager of Computing, Infleqtion. 'Through our work with JPMorgan, we're showing how software and hardware innovation, especially the flexibility of our Sqale quantum processor, can work together to move the financial industry toward commercial use of quantum computing faster.' JPMorgan Chae is at the forefront of quantum experiementation in the financial sector. The bank accounts for two-thirds of all quantum job postings among tracked banks and has published more than half of all quantum-related research papers.

Infleqtion Unveils Open-Source Library for Quantum Error Correction Research
Infleqtion Unveils Open-Source Library for Quantum Error Correction Research

Yahoo

time13-05-2025

  • Business
  • Yahoo

Infleqtion Unveils Open-Source Library for Quantum Error Correction Research

Release of new open source quantum software library accelerates research towards unlocking 10–100x reductions in qubit requirements and clearing a key hurdle for potential quantum use cases BOULDER, Colo., May 13, 2025--(BUSINESS WIRE)--A team of researchers at Infleqtion, working with JPMorgan Chase, today announced the release of a new open-source research software library designed to dramatically accelerate research progress towards improving the efficiency of potential quantum applications. The announcement, along with other strategic insights, will be discussed in more detail during Infleqtion CEO Matthew Kinsella's featured appearances during the Economist Impact Commercialising Quantum Global 2025 event, taking place May 13-14 in London. The library, available here, introduces advanced error-correction techniques that enable 10-100x reductions in the number of physical qubits required to run quantum programs. This step-change improvement addresses one of the biggest barriers in quantum computing today: the sheer scale of hardware typically needed to achieve practical fault tolerance. "Efficient error correction is one of the key enablers for commercially relevant quantum computing," said Pranav Gokhale, General Manager of Computing, Infleqtion. "Through our work with JPMorgan, we're showing how software and hardware innovation, especially the flexibility of our Sqale quantum processor, can work together to move the financial industry toward commercial use of quantum computing faster." Unlocking Efficiency Through Hardware-Aware Software Historically, building a fault-tolerant quantum computer has required massive overhead: it's been estimated that a single logical, error-corrected qubit might need up to 1,500 physical qubits to function reliably. By contrast, the new library reduces that requirement to between 15 and 150, depending on the implementation, dramatically shrinking the hardware footprint needed for real-world applications. The tools implemented in the qLDPC library are particularly suitable to Infleqtion's neutral atom-based quantum computing hardware, which allows highly customizable qubit layouts. This hardware flexibility makes it possible to implement more efficient error-correcting codes. Open Access for Maximum Impact To encourage collaboration and ongoing innovation, qLDPC is available as an open-source library, allowing developers, researchers, and hardware partners to engage directly with the codebase. The project is intended as a shared foundation for quantum developers to explore new methods for improving error correction and optimizing quantum workloads across a variety of platforms. This announcement also marks another milestone in Infleqtion's growing quantum footprint in the UK, where it continues to lead joint R&D initiatives at the National Quantum Computing Centre (NQCC) and other academic and industrial collaborations. To access the library and learn more, visit Infleqtion at Economist Impact's Commercialising Quantum Global 2025 Infleqtion's Matthew Kinsella and Pranav Gokhale are leading several discussions during Europe's largest quantum event, Commercialising Quantum Global, which kicks off today in London. Sessions include: May 13: "Closing the classical gap: when and how will quantum overtake" fireside chat, featuring Mathew Kinsella May 14: "Quantum in action: real applications, real advantages" interactive roundtable, featuring Mathew Kinsella and Pranav Gokhale May 14: "Let's get entangled: fostering international collaboration and alliances" panel session, featuring Matthew Kinsella More information can be found at the Commercialising Quantum Global 2025 website. About Infleqtion Infleqtion is a world-leading quantum technology company pioneering transformative solutions that enhance precision and performance across multiple essential industries. With more than 18 years of experience commercializing quantum technology with neutral atoms, Infleqtion specializes in atomic clocks, quantum software, quantum RF, and neutral-atom quantum computing. We deliver state-of-the-art solutions for positioning, navigation, and timing (PNT), compute, precision timekeeping, and optimization. Our unparalleled expertise makes us the preferred partner for global customers seeking advanced quantum solutions for defense, enterprise, and compute applications. For more information, please visit us at View source version on Contacts Matt StubbsVoxus PRmstubbs@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

Infleqtion Unveils Open-Source Library for Quantum Error Correction Research
Infleqtion Unveils Open-Source Library for Quantum Error Correction Research

Business Wire

time13-05-2025

  • Business
  • Business Wire

Infleqtion Unveils Open-Source Library for Quantum Error Correction Research

BOULDER, Colo.--(BUSINESS WIRE)--A team of researchers at Infleqtion, working with JPMorgan Chase, today announced the release of a new open-source research software library designed to dramatically accelerate research progress towards improving the efficiency of potential quantum applications. The announcement, along with other strategic insights, will be discussed in more detail during Infleqtion CEO Matthew Kinsella's featured appearances during the Economist Impact Commercialising Quantum Global 2025 event, taking place May 13-14 in London. The library, available here, introduces advanced error-correction techniques that enable 10-100x reductions in the number of physical qubits required to run quantum programs. This step-change improvement addresses one of the biggest barriers in quantum computing today: the sheer scale of hardware typically needed to achieve practical fault tolerance. 'Efficient error correction is one of the key enablers for commercially relevant quantum computing,' said Pranav Gokhale, General Manager of Computing, Infleqtion. 'Through our work with JPMorgan, we're showing how software and hardware innovation, especially the flexibility of our Sqale quantum processor, can work together to move the financial industry toward commercial use of quantum computing faster.' Unlocking Efficiency Through Hardware-Aware Software Historically, building a fault-tolerant quantum computer has required massive overhead: it's been estimated that a single logical, error-corrected qubit might need up to 1,500 physical qubits to function reliably. By contrast, the new library reduces that requirement to between 15 and 150, depending on the implementation, dramatically shrinking the hardware footprint needed for real-world applications. The tools implemented in the qLDPC library are particularly suitable to Infleqtion's neutral atom-based quantum computing hardware, which allows highly customizable qubit layouts. This hardware flexibility makes it possible to implement more efficient error-correcting codes. Open Access for Maximum Impact To encourage collaboration and ongoing innovation, qLDPC is available as an open-source library, allowing developers, researchers, and hardware partners to engage directly with the codebase. The project is intended as a shared foundation for quantum developers to explore new methods for improving error correction and optimizing quantum workloads across a variety of platforms. This announcement also marks another milestone in Infleqtion's growing quantum footprint in the UK, where it continues to lead joint R&D initiatives at the National Quantum Computing Centre (NQCC) and other academic and industrial collaborations. To access the library and learn more, visit Infleqtion at Economist Impact's Commercialising Quantum Global 2025 Infleqtion's Matthew Kinsella and Pranav Gokhale are leading several discussions during Europe's largest quantum event, Commercialising Quantum Global, which kicks off today in London. Sessions include: May 13: 'Closing the classical gap: when and how will quantum overtake' fireside chat, featuring Mathew Kinsella May 14: 'Quantum in action: real applications, real advantages' interactive roundtable, featuring Mathew Kinsella and Pranav Gokhale May 14: 'Let's get entangled: fostering international collaboration and alliances' panel session, featuring Matthew Kinsella More information can be found at the Commercialising Quantum Global 2025 website. About Infleqtion Infleqtion is a world-leading quantum technology company pioneering transformative solutions that enhance precision and performance across multiple essential industries. With more than 18 years of experience commercializing quantum technology with neutral atoms, Infleqtion specializes in atomic clocks, quantum software, quantum RF, and neutral-atom quantum computing. We deliver state-of-the-art solutions for positioning, navigation, and timing (PNT), compute, precision timekeeping, and optimization. Our unparalleled expertise makes us the preferred partner for global customers seeking advanced quantum solutions for defense, enterprise, and compute applications. For more information, please visit us at

Infleqtion Unveils Contextual Machine Learning (CML) at GTC 2025, Powering AI Breakthroughs with NVIDIA CUDA-Q and Quantum-Inspired Algorithms
Infleqtion Unveils Contextual Machine Learning (CML) at GTC 2025, Powering AI Breakthroughs with NVIDIA CUDA-Q and Quantum-Inspired Algorithms

Yahoo

time20-03-2025

  • Business
  • Yahoo

Infleqtion Unveils Contextual Machine Learning (CML) at GTC 2025, Powering AI Breakthroughs with NVIDIA CUDA-Q and Quantum-Inspired Algorithms

CML Unlocks AI's Full Potential with Enhanced Pattern Recognition, Prediction, and Real-Time Decision-Making for Defense, Autonomous Systems, and Next-Gen Computing BOULDER, Colo., March 20, 2025--(BUSINESS WIRE)--Infleqtion, a global leader in quantum information technologies, today unveiled Contextual Machine Learning (CML) at GTC 2025. CML is a novel AI approach that allows machine learning models to process information over longer time periods and from multiple sources simultaneously. This enhances AI's ability to recognize patterns in sensor data, predict trends, and make real-time decisions with greater accuracy. By implementing CML on NVIDIA A100 GPUs using the NVIDIA CUDA-Q platform, Infleqtion is increasing the ability of AI to process and interpret data from multiple sources at once, improving real-time decision-making for defense, autonomous systems, and other critical applications. CML also provides a pathway from today's AI to future quantum-powered machine learning, ensuring long-term scalability and performance. "There is a symbiotic relationship between AI supercomputing and quantum computing," said Sam Stanwyck, Group Product Manager for Quantum Computing at NVIDIA. "Infleqtion's work demonstrates how NVIDIA's CUDA-Q platform is bringing accelerated computing to quantum workflows, and how these workflows are finding application reaching beyond quantum computing." CML builds on Infleqtion's work at the intersection of GPU and QPU hardware, including its recent breakthrough in quantum materials design, which leveraged NVIDIA CUDA-Q to accelerate next-generation material discovery. Now, Infleqtion is applying these techniques to CML, bringing quantum-inspired AI to real-world scenarios across defense, energy, and autonomous systems. Expanding AI's Potential with Contextual Learning Many AI models—such as transformer models—struggle to track patterns over time, making it difficult to analyze streaming data, predict future events, or combine information from multiple sources. Infleqtion's CML approach, inspired by a property of quantum mechanics known as contextuality, enhances AI's ability to process information over longer timeframes and across different data types, improving accuracy, adaptability, and efficiency. "AI is processing more data in real-time than ever before, from tracking multiple data sources to making split-second decisions in dynamic environments," said Pranav Gokhale, General Manager of Computing at Infleqtion. "CML helps AI analyze larger sets of information over longer-context timeframes, improving its ability to detect patterns and adapt to changing conditions. By optimizing this approach using accelerated computing, we're building the foundation for future AI solutions powered by quantum computing." US Navy and Army Testing Validate CML's Real-World Potential Alongside the debut of the CML technology, Infleqtion has been awarded a Navy AI contract for application to sensor data streams. The Navy project, entitled QuIRC, applies Infleqtion's CML-powered AI to enhance real-time RF signal processing, improving situational awareness, security, and operational efficiency in both current RF systems and next-generation Quantum RF sensors. Infleqtion also won first place out of 133 companies in the US Army's xTechScalable AI competition for SAPIENT: Secure AI for PNT. The SAPIENT platform is a multi-sensor fusion system that improves navigation and intelligence capabilities. By leveraging the CML framework, SAPIENT can process large sensor data streams with small models, enabling deployment to edge GPUs at scale powered by NVIDIA Jetson™. To learn more about Infleqtion's CML and its applications, visit About Infleqtion Infleqtion is a world-leading quantum technology company pioneering transformative solutions that enhance precision and performance across multiple essential industries. With more than 18 years of experience commercializing quantum technology with neutral atoms, Infleqtion specializes in atomic clocks, quantum software, quantum RF, and neutral-atom quantum computing. We deliver state-of-the-art solutions for positioning, navigation, and timing (PNT), compute, precision timekeeping, and optimization. Our unparalleled expertise makes us the preferred partner for global customers seeking advanced quantum solutions for defense, enterprise, and compute applications. For more information, please visit us at View source version on Contacts Matt StubbsVoxus PRmstubbs@ Sign in to access your portfolio

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