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Quantum News Briefs September 17: Finland’s QMill Raises €4m in Seed Funding to Deliver Near-Term Industrial Quantum Advantage Via Cutting-Edge Algorithms • Bluefors Opens Expanded U.S. Production Facilities – Becomes Biggest Producer of Dilution Refrigerators in North America • Q-CTRL Brings Advanced Quantum Error Management to IBM Qiskit Users • Algorithmiq Launches Error Mitigation Solution in IBM’s Qiskit Functions Catalog •

IQT News — Quantum News Briefs
By Sandra Helsel posted 17 Sep 2024

Finland’s QMill Raises €4m in Seed Funding to Deliver Near-Term Industrial Quantum Advantage Via Cutting-Edge Algorithms 

QMill, a quantum-computing company based in Espoo, Finland, has successfully raised €4 million in seed funding as per the September 17 announcement on Qmill website.
The funding round was led by Finland-based Maki.vc and Singapore-based VC Antler and joined by industrial technology investor Kvanted. The company also secured a grant of €1 million from Business Finland, a Finnish government agency for innovation, trade, and investment. QMill’s founding team includes Dr. Hannu Kauppinen, Nokia Technologies’ former Chief Technology Officer, Prof. Mikko Möttönen, Professor of Quantum Technology at Aalto University and VTT, Dr. Ville Kotovirta, former head of VTT’s Quantum Algorithms and Software Team and Dr. Toni Annala, an L.E. Dickson Instructor at the University of Chicago, and a former member of the Institute for Advanced Study, Princeton.
Founded by a team spanning various industries and skillsets, QMill is on a mission to make quantum computing practical and accessible for real industrial use cases. In the rapidly growing quantum technology market, QMill is targeting a critical gap by addressing the limitations of current quantum computing hardware. Unlike quantum companies that target breakthroughs expected to materialize a decade from now, QMill aims to deliver quantum advantage today by leveraging near-future hardware and its new, pioneering algorithms. The seed funds are allocated towards the development of highly resource-efficient quantum algorithms and expanding the company’s service offerings, together with a significant focus on recruiting top-tier global talent. QMill will continue to develop its global offering from Espoo, Finland, which it sees as a major growing quantum hub in terms of talent, infrastructure, and funding.

Bluefors Opens Expanded U.S. Production Facilities – Becomes Biggest Producer of Dilution Refrigerators in North America

Bluefors, the world leader in manufacturing cryogenic measurement systems for quantum technology, held the opening for its expanded production facility in Syracuse, New York as per September 16 release. This expanded facility will increase the production capacity for its Cryomech-branded cryocoolers, enhance its R&D operations, and enable Bluefors to begin manufacturing dilution refrigerators at the site – for the first time in the USA.
The rapidly growing quantum technology industry needs cryogenic systems, such as dilution refrigerators and cryocoolers, to develop applications like quantum computing, quantum communications, and quantum sensing. The expansion of the facility, originally constructed in 2020, will increase the capacity of Bluefors’ Syracuse facilities by almost 45%.
With the newly expanded Syracuse facility, Bluefors continues its commitment to investing in its US operations and supporting its customers with deeper integration, increased availability, and fast service response times. Simultaneously with the expansion, Bluefors opens a spare parts hub in Syracuse to serve customers in the US and Canada. With dilution refrigerator spare parts now available in Syracuse, North American customers will benefit from an improved service level and shorter delivery times.
The expansion adds more office, manufacturing, warehouse, storage, shipping, and receiving space, increasing cryocooler testing capacity and doubling throughput. The expansion lays the groundwork for the future growth of Bluefors operations in the USA.

Q-CTRL Brings Advanced Quantum Error Management to IBM Qiskit Users

Q-CTRL announced September 16 that it offers two services via IBM’s new Qiskit Functions Catalog to simplify application development and performance management services.
Q-CTRL’s performance-management software, Fire Opal, improves the usability and capability of quantum computing by reducing errors and abstracting the details of how to operate hardware for peak performance. Errors in quantum computers constitute one of the biggest bottlenecks in the technology’s advancement today. Managing these errors consumes a significant amount of time for hardware vendors and end users seeking to achieve meaningful results on the path to quantum advantage.
Q-CTRL technology first appeared as a native integration in IBM’s Pay-as-you-go plan in December 2023 and recently expanded to support the next generation of IBM Quantum systems with utility-scale IBM Heron processors. Today’s new offering, an expansion available via the Qiskit Functions Catalog, for the IBM Quantum Network of more than 250 Fortune 500 companies, academic institutions, research labs, and startups is designed to make using Fire Opal seamless within their existing development workflows.
Q-CTRL released two Qiskit Functions services that build on the knowledge gained from last year’s native integration of Fire Opal. Both are turnkey and engineered so users can leverage the benefits of quantum computers without the need to be an expert in quantum hardware.

Algorithmiq Launches Error Mitigation Solution in IBM’s Qiskit Functions Catalog

Algorithmiq announced September 16 the commercial availability of its Tensor Network Error Mitigation (TEM) solution, via IBM’s newly launched Qiskit Functions Catalog.
Leveraging the properties of tensor networks, Algorithmiq’s TEM is now available to the 250+ Fortune 500 companies, universities, laboratories, and startups in the IBM Quantum Network. TEM allows developers, researchers, and computational and data scientists to manage noise in software post-processing while lowering quantum processing unit (QPU) usage. This combination allows for the programming of quantum computers with greater ease and simplicity, ultimately reducing the time needed to build and execute new workflows.
With the application of tensor networks in the post-processing stage of quantum computing execution, Algorithmiq’s Tensor Network Error Mitigation (TEM) has achieved levels of error mitigation never before witnessed without the need for additional quantum circuits. This optimized error cancellation with minimal use of the quantum hardware enables access to utility-scale quantum experiments.

Tags: AI, IQT, Q-CCTRL, Quantum

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