Artificial Intelligence

Quantinuum’s H1 quantum computer successfully executes a fully fault-tolerant algorithm with three logically-encoded qubits

Published

8 months ago

September 28, 2023

quantinuum’s-h1-quantum-computer-successfully-executes-a-fully-fault-tolerant-algorithm-with-three-logically-encoded-qubits

A multidisciplinary team from Quantinuum, QuTech (Delft University of Technology) and the University of Stuttgart used the H1 quantum computer to demonstrate a noteworthy advance in fault-tolerant operations
CAMBRIDGE, England and BROOMFIELD, Colo., Sept. 28, 2023 /PRNewswire/ — Fault-tolerant quantum computers that offer radical new solutions to some of the world’s most pressing problems in medicine, finance and the environment, as well as facilitating a truly widespread use of AI, are driving global interest in quantum technologies. Yet the various timetables that have been established for achieving this paradigm require major breakthroughs and innovations to remain achievable, and none is more pressing than the move from merely physical qubits to those that are fault-tolerant.

In one of the first meaningful steps along this path, scientists from Quantinuum, the world’s largest integrated quantum computing company, along with collaborators, have demonstrated the first fault-tolerant method using three logically-encoded qubits on the Quantinuum H1 quantum computer, Powered by Honeywell, to perform a mathematical procedure.
Fault-tolerant quantum computing methods are expected to open the way for practical solutions to real-world problems across domains such as molecular simulation, artificial intelligence, optimization, and cybersecurity. Following a succession of important breakthroughs in recent years in hardware, software and error correction, today’s results announced by Quantinuum in a new paper on the arXiv, “Fault-Tolerant One-Bit Addition with the Smallest Interesting Colour Code” are a natural step forward, and reflect the growing pace of progress.
Many companies and research groups are focused on achieving fault-tolerance by handling the noise that naturally arises when a quantum computer performs its operations. Quantinuum is a proven pioneer, achieving previous firsts such as demonstrating entangling gates between two logical qubits in a fully fault-tolerant manner using real-time error correction, and simulating the hydrogen molecule with two logically-encoded qubits.
By performing one-bit addition using the smallest-known fault-tolerant circuit, the team achieved an error rate almost an order of magnitude lower, at ~1.1×10-3 compared to ~9.5×10-3 for the unencoded circuit. The error suppression observed was made possible by the physical error rates of the quantum charge-coupled device (QCCD) architecture used in Quantinuum’s H-Series quantum computers, which are lower than in any other systems known to date. These error rates fall within the range at which fault-tolerant algorithms become feasible.
Ilyas Khan, Chief Product Officer and Founder at Quantinuum, said: “In addition to continuing to provide the quantum ecosystem with evidence of what is possible in these early days of quantum computing, the current demonstration is noteworthy for its ingenuity. The ion trap architecture of our H-Series offers the lowest physical error rates and the flexibility derived from qubit transport, which allows users of our hardware to implement a much wider choice of error-correcting codes, and that is what made this possible. Watch out for further important computational advances in the coming period as we link up the quality of our hardware with tasks that are meaningful in the real world.”
Low-overhead logical Clifford gates, in combination with the transversal CCZ gate of the three-dimensional colour code, enabled the team to reduce the number of two-qubit gates and measurements required for one-bit addition, from over 1000, to 36.
Ben Criger, Senior Research Scientist at Quantinuum, and principal investigator on the paper, said: “The CCZ gate, which we’ve demonstrated here, is a key ingredient in Shor’s algorithm, quantum Monte Carlo, topological data analysis, and a host of other quantum algorithms. This result proves that real hardware is now capable of running all the essentials of fault-tolerant quantum computing – state preparation, Clifford gates, non-Clifford gates and logical measurement – together.”
About Quantinuum
Quantinuum is the world’s largest integrated standalone quantum computing company, formed by the combination of Honeywell Quantum Solutions’ world-leading hardware and Cambridge Quantum’s class-leading middleware and applications. Science-led and enterprise-driven, Quantinuum accelerates quantum computing and the development of applications across chemistry, cybersecurity, finance and optimization. Its focus is to create scalable and commercial quantum solutions to solve the world’s most pressing problems in fields such as energy, logistics, climate change, and health. The company employs over 480 individuals, including 350+ scientists and engineers, at eight sites across the United States, Europe, and Japan. For more information, please visit http://www.quantinuum.com.
The Honeywell trademark is used under license from Honeywell International Inc. Honeywell makes no representations or warranties with respect to this service.
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Artificial Intelligence

Compact Solutions, Mighty Results: Cervoz Unleashes the Power of Edge Computing

Published

51 seconds ago

May 20, 2024

CISION (PR Newswire)

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TAIPEI, May 20, 2024 /PRNewswire/ — Cervoz Technology, a leader in industrial-grade storage, memory, and expansion solutions, is powering the evolution of edge computing with its innovative solutions.

In today’s data-rich landscape, businesses rely on insights from IoT devices. With advancements in AI and 5G, data volumes surge, straining traditional cloud computing with bandwidth and latency issues. Edge Computing emerges as a solution, processing data at its source for real-time insights crucial for applications like digital twins, autonomous vehicles, and smart healthcare.
What is Edge Computing?
Edge Computing is a decentralized IT architecture that processes data near its origin, often at the network’s edge. This approach divides tasks from central data centers to edge devices and nodes. It enables faster, deeper insights and enhances responsiveness, improving speed and reducing latency compared to centralized clouds. Typically, an Edge Computing system comprises three layers: device, edge, and cloud.
The Device Layer
The device layer, situated closest to the physical world, comprises endpoint devices such as sensors, controllers, and cameras, among others. The layer prioritizes data collection and initial processing for real-time response and efficiency. It requires highly reliable, compact, and energy-efficient components. Cervoz’s M.2 2230 (A+E key /B+M key) NVMe SSDs and DDR4 SO-DIMM modules optimize this setup with fast data access and efficient storage in space-saving designs. They operate reliably across a wide temperature range (-40°C to 85°C) and feature additional conformal coating and anti-vibration filling for enhanced performance in harsh environments.
The Edge Layer
The edge layer, composed of edge servers and gateways, serves as a crucial link between device-layer data sources and cloud-based operations. It is designed for extensive data handling, filtering, and analytics, emphasizing quick operations and real-time responses to minimize reliance on remote data centers. For optimal performance, components must manage high processing loads with minimal latency and maximum stability. NVMe SSDs boasting PCIe Gen3 or higher, such as the Cervoz NVMe PCIe Gen3x4 SSD, with compact M.2 form factors, advanced DRAM cache buffer, and LDPC ECC technology, are perfectly suited for the edge layer. These SSDs enable efficient directory and error correction during high-speed data transfers, thus enhancing data accuracy and reliability.
The Cloud Layer
The cloud layer requires intensive processing and long-term storage, performing analytics, operating AI and machine learning, and managing extensive data systems across various edge locations. It demands high-performing and reliable components. Cervoz NVMe PCIe Gen4x4 SSDs excel with Read/Write speeds of up to 7,100/6,190 MB/s and 4K random IOPS up to 1,000K, with aluminum heatsinks and thermal throttling for overheating issues. DDR5-5600 DRAM boosts this setup with high data throughput and efficient power use, satisfying rigorous computational needs.
Interlayer Connectivity
Reliable, low-latency network connectivity is crucial as data flows between the device layer, edge, and cloud. Cervoz 10GbE Low-Profile Ethernet Card provides high-speed, stable wired connections in high-bandwidth, low-latency environments. Additionally, the new PCIe Compact Low-Profile Ethernet Card is ideal for narrow edge device enclosures. For areas where wiring is impractical, M.2 Wi-Fi cards offer essential wireless flexibility. These connectivity options ensure a solid foundation for seamless data management across all layers.
Cervoz offers comprehensive solutions to enhance edge computing capabilities. From compact NVMe SSDs and DRAM modules, to advanced modular expansion cards, enabling seamless integration, optimized performance, and unmatched reliability in edge computing deployments.
About Cervoz
Based in Taiwan, Cervoz Technology boasts almost twenty years of expertise in developing and providing industrial-grade storage, memory, and expansion solutions across a myriad of global industrial sectors.
ContactsSales: [email protected]
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Artificial Intelligence

Team Exponentia.ai UK attended the AWS summit in London

Published

52 seconds ago

May 20, 2024

CISION (PR Newswire)

Team Exponentia.ai UK celebrates Sanjay Kumar’s insightful session at the AWS summit in London
LONDON, May 20, 2024 /PRNewswire/ — Sanjay Kumar, Head of Exponentia.ai in UK & Europe, delivered an impactful presentation on Driving Manufacturing Innovation through AWS Analytics & AI. The recently concluded AWS Summit took place on the 24th of April in ExCeL, London.

Sanjay shared the stage at Theatre B with Adrian Pinder from DS Smith and Ahmed Raafat from AWS, captivating the audience with insights and experiences from Exponentia.ai’s collaboration with DS Smith.
During the session, Sanjay Kumar highlighted Exponentia.ai’s impressive use cases and case studies, including the Data Factory and Procurement Spend Analytics (PSA) projects undertaken in partnership with DS Smith. These initiatives demonstrated Exponentia.ai’s commitment to leveraging the AWS ecosystem to drive operational efficiency and business growth in the manufacturing sector.
The Exponentia.ai team seized the opportunity to engage with industry peers, partners, and friends, while also exploring the latest innovations showcased at the summit. Their participation in various sessions and visits to innovative booths further enriched their understanding of industry trends and best practices.
Reflecting on the event, Sanjay Kumar expressed his enthusiasm, stating, “The AWS Summit in London provided an excellent platform for us to showcase our expertise in manufacturing analytics and AI. The overwhelming response from attendees reaffirms the value of our solutions in driving innovation and transformation across industries and our commitment to deliver value to our customers through data. We look forward to continuing our collaboration with AWS and our partners to deliver impactful outcomes for our clients.”
The AWS Summit London 2024 marked a significant milestone for Exponentia.ai, reinstating its commitment to excellence and innovation in the field of AI and analytics. As the team eagerly anticipates future events, they remain dedicated to empowering businesses with transformative technology solutions.
For more information about Exponentia.ai and its innovative offerings, please visit www.exponentia.ai.
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Artificial Intelligence

Clarivate Launches AI-Enhanced Solution to Accelerate Trademark Watching

Published

53 seconds ago

May 20, 2024

CISION (PR Newswire)

Providing faster and more accurate answers to critical business questions
LONDON, May 20, 2024 /PRNewswire/ — Clarivate Plc (NYSE: CLVT), a leading global provider of transformative intelligence, launched the first publicly available version of Trademark Watch Analyzer today at the 2024 International Trademark Association Annual Meeting. As the next-generation trademark protection solution enhanced by artificial intelligence (AI) and cloud technology, this solution combines Clarivate global trademark and case law data, in-house IP expertise, and cutting-edge AI technology. It will provide faster and more accurate answers to critical business questions by automating key trademark watching tasks and intelligently prioritizing result sets.

Trademark Watch Analyzer connects users to trademark datasets in 258 countries and territories across 191 official trademark registers, as well as data from 7+ million trademark litigation cases. This content is harmonized and connected through AI algorithms which query, connect and mine both datasets delivering advanced insights in supported watch products. This revolutionizes the way trademark watch results are delivered, so that clients can rank results based on their chance of success/opposition.
According to data from SAEGIS®, a CompuMark™ trademark solution from Clarivate, the number of trademark applications filed globally each year has more than doubled since 2014. With over one million new trademarks added to trademark registers around the world each month, the risk of infringement has never been greater, making vigilance of trademark applications essential to protect and grow strong brands.
Gordon Samson, President, Intellectual Property, Clarivate, said: “As the global business landscape grows more complex, trademark professionals are faced with challenges including more data, less context and shorter deadlines. Our advanced AI-driven solution enables clients to confidently monitor their trademarks anywhere in the world, with global monitoring and automated alerts, while also saving time, costs and critical resources. The launch of the Trademark Watch Analyzer is the latest example of our Think forward™ promise — connecting clients to trusted intelligence to ensure an IP-empowered tomorrow.”
With a more intuitive design and user interface, Trademark Watch Analyzer will enable clients to have a much-improved user experience as they work with their results. The navigation will be based on the same architecture as the Brand Landscape Analyzer launched in 2023, providing clients with a more cohesive experience within the Clarivate product suite.
Find out more about Trademark Watch Analyzer here.
About ClarivateClarivate™ is a leading global provider of transformative intelligence. We offer enriched data, insights & analytics, workflow solutions and expert services in the areas of Academia & Government, Intellectual Property and Life Sciences & Healthcare. For more information, please visit www.clarivate.com
Media Contact: Jack Wan, External Communications Director [email protected]
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