Innsbruck, 13.05.2025. We’re pleased to announce a significant step forward in quantum error correction by the teams at ParityQC and the University of Innsbruck: a novel two-step decoder that achieves optimal accuracy and high-speed performance. The findings are outlined in the new publication “Optimal Decoder for the Error Correcting Parity Code”. The inherent fragility of quantum information renders quantum algorithms particularly vulnerable to noise. To address this challenge, quantum error correction plays a crucial role in building scalable and fault-tolerant quantum computers. Designing fault-tolerant architectures requires tight integration with classical co-processors and algorithms capable of decoding quantum error correction measurements in real time. Generally, enhancing decoding performance entails greater computational complexity, so a practical decoder must strike a balance between speed and accuracy. Our newly developed Parity Decoder achieves impressive performance in both metrics, bringing the fault-tolerant ParityQC Architecture one step closer to practical feasibility. The ParityQC Architecture The ParityQC Architecture is designed to work efficiently within the physical constraints of planar quantum hardware. It supports long-range logical operations using only local, nearest-neighbor interactions, making it ideal for executing quantum algorithms on planar hardware systems with restricted qubit connectivity. As an instance of LDPC codes, it provides intrinsic protection against one type of quantum noise—e.g., bit-flip or phase-flip— enabling efficient fault-tolerant quantum computation in biased-noise systems, such as those based on bosonic cat qubits. The combination of efficient long-range logical gates (suitable for planar implementation) and built-in error correcting capabilities position the ParityQC Architecture as a promising candidate for demonstrating quantum advantage on qubit platforms with strong noise bias. Error correcting codes have to be designed in conjunction with quantum decoders–algorithms capable of resolving information about location and type of errors affecting the qubits. To be practical, decoders must operate quickly and accurately to correct errors before they accumulate, as well as to avoid the backlog problem. However, finding the optimal correction is typically computationally hard for large codes. This forces a trade-off between speed and performance. Yet, the novel Parity Decoder presented by our team manages to overcome the trade-off, improving both accuracy and runtime. The novel Parity Decoder: fast and accurate ParityQC, in collaboration with the University of Innsbruck, recently published a paper that tackles the decoding complexity issue. In the pre-print “Optimal Decoder for the Error Correcting Parity Code” we introduce a two-step decoder for the Parity Code that enhances the reliability of quantum computations in systems with strong noise bias. The key achievement is that the decoder is simultaneously fast and accurate. In fact, as accurate as any decoder can possibly be, as the authors prove the decoder’s optimality in the regime of large codes. Furthermore, owing to the parallelizability and efficient post-processing, the decoder corrects errors in the Parity Code in approximately the same time as is required for correcting a single repetition code of the same distance. The decoder comprises two steps. In the first, or matching, step, a correction that returns the quantum state to the correct code space is found by using one of the variations of the matching algorithms. The efficiency of the Parity Decoder stems from the second, or post-processing, step, enabled by the statistical properties of the code. Such efficient post-processing allows to relax the stringent computational requirements on the matching step, making it more scalable. In particular, both steps of the decoder can be reduced to a series of repetition codes decodable in parallel, making the method remarkably fast. Furthermore, the same post-processing makes the decoder near-optimal for moderate code sizes, and optimal as we increase the code further. In the presence of noisy measurements, the decoder retains the same structure of independent repetition codes and achieves a fault-tolerant threshold above 5%. The availability of such a high-performance decoder further positions the ParityQC Architecture as a solid candidate for achieving fault tolerance on qubit platforms with strong noise bias. Publication:  Konstantin Tiurev, Christophe Goeller, Leo Stenzel, Paul Schnabl, Anette Messinger, Michael Fellner, Wolfgang Lechner. “Optimal Decoder for the Error Correcting Parity Code”. arXiv:2505.05210 (2025)

Empowering enterprise customers, this partnership will accelerate the implementation of systems capable of quantum error correction and maximize QPU performance.   DELFT, Netherlands, May 12, 2025 – QuantWare, a leading provider of quantum hardware and creator of the VIO QPU scaling technology, today announced a collaboration with Q-CTRL, a global leader in quantum infrastructure software, to deliver an autonomous calibration solution for its customers. This partnership directly addresses a critical challenge for QuantWare’s customers: delivering useful results from today’s quantum computing hardware requires laborious, imprecise, and manual tuning of all the various “control knobs” that govern quantum processing unit (QPU) performance. By integrating Q-CTRL’s autonomous calibration solution, Boulder Opal Scale Up, with its cutting-edge QPUs, QuantWare’s customers will be able to achieve push-button tuneup of their on-premises quantum computers – an critical solution for scaling QPUs, especially those powered by QuantWare’s VIO technology, designed to unlock processors with over 1 million qubits.   This new partnership will provide QuantWare’s customers with: – Accelerated System Development: QuantWare’s customers will be able to drastically accelerate the construction and deployment of their quantum systems towards error correction. Q-CTRL’s autonomous calibration solution streamlines the setup process, reducing test times from days to hours. – Maximized QPU Performance: Leveraging Q-CTRL’s Boulder Opal Scale Up solution empowers any user to achieve optimal performance from QuantWare QPUs with minimal effort. This ensures that customers can unlock the full potential of QuantWare’s QPUs, including the new Contralto-A Quantum Error Correction QPU recently launched in early access.   “As we rapidly scale our devices thanks to VIO, tuning up systems built with our QPUs needs to be automated,” said Matthijs Rijlaarsdam, CEO of QuantWare. “We are excited not just to use Q-CTRL’s software internally, but especially to help our customers scale their systems faster and with confidence. Boulder Opal with Contralto-A is an extremely powerful combination that will greatly expand the capabilities of our customers.”   Q-CTRL’s Boulder Opal Scale Up solution combines PhD-level human intelligence with AI-driven automation to overcome the quantum industry bottleneck. Built on the company’s track record of delivering peak QPU performance through physics-informed AI, Boulder Opal Scale Up provides an expert-configured and fully autonomous software solution to deliver fast, repeatable, and robust QPU characterization and calibration.   Boulder Opal Scale Up empowers quantum hardware manufacturers to create more efficient and scalable products through intelligently autonomous routines that boost operational efficiency while democratizing access to consistently high-performing quantum devices.   “It’s our mission to make quantum technology useful for as many teams as possible,” said Michael J. Biercuk, CEO and Founder of Q-CTRL. “We’re excited to bring our expertise in physics-informed AI and performance management to the products of QuantWare and to all of their customers, so together we can have the biggest possible impact on delivering quantum advantage to the community.”   This partnership is an important step towards achieving utility-scale quantum computers. Efficiently tuning large QPUs will be critical for many customers, especially as they use processing units powered by VIO to scale their systems. With this collaboration, QuantWare streamlines the user experience with its QPUs, enabling customers to concentrate their time and resources on what matters most.   About QuantWare QuantWare is a leading provider of quantum hardware and creator of the VIO Quantum Processor Unit (QPU) scaling technology. Leading the Quantum Open Architecture paradigm, QuantWare powers the quantum computers of customers in 20 countries, spread over four continents. QuantWare’s VIO provides a scaling platform to unlock the fastest path towards systems with more than 1 million qubits. VIO is available in Quantum Processors designed by QuantWare, via Foundry Services, and as Packaging Service. For more info, visit our website www.quantware.com About Q-CTRL Q-CTRL is a key player in the global quantum technology industry as a category-defining business for quantum infrastructure software. Leading quantum computing hardware providers integrate its performance-management software with their superconducting and silicon-based platforms to deliver unprecedented capabilities to end users. The company’s global leadership in quantum sensing for defense and dual-use was featured in The New York Times. Q-CTRL also developed Black Opal, an award-winning edtech program that enables users to quickly learn quantum computing. Founded by Michael J. Biercuk in November 2017, Q-CTRL has assembled the world’s foremost team of expert quantum-control engineers, providing solutions to global quantum technology leaders, including Fortune 500 companies, startups, national research labs, and academic institutions. The company has international headquarters in Sydney, Los Angeles, San Francisco, Berlin, and Oxford. Learn more about these autonomous solutions to better enable cutting-edge quantum devices at q-ctrl.com.  

The Quantum Business Network (QBN) is proud to announce the outstanding success of its participation at GITEX ASIA 2025, held from 23–25 April at Marina Bay Sands, Singapore. As a strategic partner of the event, QBN played a prominent role in the inaugural Asian edition of GITEX GLOBAL—the world’s largest tech show—bringing quantum innovation to the forefront of Asia’s dynamic tech landscape. Representing QBN at the event was Raghu, QBN APAC Lead, who led a strong regional presence under the newly launched QBN Asia-Pacific chapter (QBN APAC). This expansion marks a pivotal milestone in QBN’s mission to bridge Europe’s established quantum ecosystem with the rapidly growing Asia-Pacific market. QBN’s booth became a vibrant hub of activity, drawing attention from startups, investors, corporates, and policymakers eager to explore the global quantum economy. Through high-level discussions, networking opportunities, and knowledge exchange, QBN reinforced its position as the leading global industry network for quantum technologies. GITEX ASIA 2025 attracted over 700 tech companies, 400+ startups, and 250+ investors from more than 60 countries. Against this backdrop, QBN stood out by offering attendees a unique gateway to international collaboration, market access, and cross-sector innovation within the quantum domain. QBN’s strategic insights and global connections continue to support stakeholders in navigating the complexities of the quantum landscape—accelerating go-to-market strategies, identifying growth opportunities, and facilitating cross-border partnerships. The success of QBN’s participation at GITEX ASIA not only underlines the growing relevance of quantum technologies across industries, but also reaffirms QBN’s role as a catalyst for building a resilient, interconnected, and thriving quantum future. We extend our gratitude to everyone who visited the QBN booth and joined us in making GITEX ASIA 2025 an unforgettable experience. Stay tuned for more updates as we continue to shape the future of quantum—globally and across the Asia-Pacific region. Read more about QBN APAC here.