Latest news with #QuantumRoadmap
Channel Post MEA
3 days ago
- Business
- Channel Post MEA
IBM Plans World's First Fault-Tolerant Quantum Computer By 2029
IBM has unveiled its path to build the world's first large-scale, fault-tolerant quantum computer, setting the stage for practical and scalable quantum computing. Delivered by 2029, IBM Quantum Starling will be built in a new IBM Quantum Data Center in Poughkeepsie, New York and is expected to perform 20,000 times more operations than today's quantum computers. To represent the computational state of an IBM Starling would require the memory of more than a quindecillion (1048) of the world's most powerful supercomputers. With Starling, users will be able to fully explore the complexity of its quantum states, which are beyond the limited properties able to be accessed by current quantum computers. IBM, which already operates a large, global fleet of quantum computers, is releasing a new Quantum Roadmap that outlines its plans to build out a practical, fault-tolerant quantum computer. 'IBM is charting the next frontier in quantum computing,' said Arvind Krishna , Chairman and CEO, IBM. 'Our expertise across mathematics, physics, and engineering is paving the way for a large-scale, fault-tolerant quantum computer — one that will solve real-world challenges and unlock immense possibilities for business.' A large-scale, fault-tolerant quantum computer with hundreds or thousands of logical qubits could run hundreds of millions to billions of operations, which could accelerate time and cost efficiencies in fields such as drug development, materials discovery, chemistry, and optimization. Starling will be able to access the computational power required for these problems by running 100 million quantum operations using 200 logical qubits. It will be the foundation for IBM Quantum Blue Jay, which will be capable of executing 1 billion quantum operations over 2,000 logical qubits. A logical qubit is a unit of an error-corrected quantum computer tasked with storing one qubit's worth of quantum information. It is made from multiple physical qubits working together to store this information and monitor each other for errors. Like classical computers, quantum computers need to be error corrected to run large workloads without faults. To do so, clusters of physical qubits are used to create a smaller number of logical qubits with lower error rates than the underlying physical qubits. Logical qubit error rates are suppressed exponentially with the size of the cluster, enabling them to run greater numbers of operations. Creating increasing numbers of logical qubits capable of executing quantum circuits, with as few physical qubits as possible, is critical to quantum computing at scale. Until today, a clear path to building such a fault-tolerant system without unrealistic engineering overhead has not been published. The Path to Large-Scale Fault Tolerance The success of executing an efficient fault-tolerant architecture is dependent on the choice of its error-correcting code, and how the system is designed and built to enable this code to scale. Alternative and previous gold-standard, error-correcting codes present fundamental engineering challenges. To scale, they would require an unfeasible number of physical qubits to create enough logical qubits to perform complex operations – necessitating impractical amounts of infrastructure and control electronics. This renders them unlikely to be able to be implemented beyond small-scale experiments and devices. A practical, large-scale, fault-tolerant quantum computer requires an architecture that is: Fault-tolerant to suppress enough errors for useful algorithms to succeed. to suppress enough errors for useful algorithms to succeed. Able to prepare and measure logical qubits through computation. through computation. Capable of applying universal instructions to these logical qubits. to these logical qubits. Able to decode measurements from logical qubits in real-time and can alter subsequent instructions. and can alter subsequent instructions. Modular to scale to hundreds or thousands of logical qubits to run more complex algorithms. to scale to hundreds or thousands of logical qubits to run more complex algorithms. Efficient enough to execute meaningful algorithms with realistic physical resources, such as energy and infrastructure. Today, IBM is introducing two new technical papers that detail how it will solve the above criteria to build a large-scale, fault-tolerant architecture. The first paper unveils how such a system will process instructions and run operations effectively with qLDPC codes. This work builds on a groundbreaking approach to error correction featured on the cover of Nature that introduced quantum low-density parity check (qLDPC) codes. This code drastically reduces the number of physical qubits needed for error correction and cuts required overhead by approximately 90 percent, compared to other leading codes. Additionally, it lays out the resources required to reliably run large-scale quantum programs to prove the efficiency of such an architecture over others. The second paper describes how to efficiently decode the information from the physical qubits and charts a path to identify and correct errors in real-time with conventional computing resources. From Roadmap to Reality The new IBM Quantum Roadmap outlines the key technology milestones that will demonstrate and execute the criteria for fault tolerance. Each new processor in the roadmap addresses specific challenges to build quantum computers that are modular, scalable, and error-corrected: IBM Quantum Loon , expected in 2025 , is designed to test architecture components for the qLDPC code, including 'C-couplers' that connect qubits over longer distances within the same chip. , expected in , is designed to test architecture components for the qLDPC code, including 'C-couplers' that connect qubits over longer distances within the same chip. IBM Quantum Kookaburra , expected in 2026 , will be IBM's first modular processor designed to store and process encoded information. It will combine quantum memory with logic operations — the basic building block for scaling fault-tolerant systems beyond a single chip. , expected in , will be IBM's first modular processor designed to store and process encoded information. It will combine quantum memory with logic operations — the basic building block for scaling fault-tolerant systems beyond a single chip. IBM Quantum Cockatoo, expected in 2027, will entangle two Kookaburra modules using 'L-couplers.' This architecture will link quantum chips together like nodes in a larger system, avoiding the need to build impractically large chips. Together, these advancements are being designed to culminate in Starling in 2029.
Web Release
4 days ago
- Business
- Web Release
IBM Sets the Course to Build World's First Large-Scale, Fault-Tolerant Quantum Computer at New IBM Quantum Data Center
IBM Sets the Course to Build World's First Large-Scale, Fault-Tolerant Quantum Computer at New IBM Quantum Data Center IBM unveiled its path to build the world's first large-scale, fault-tolerant quantum computer, setting the stage for practical and scalable quantum computing. Delivered by 2029, IBM Quantum Starling will be built in a new IBM Quantum Data Center in Poughkeepsie, New York and is expected to perform 20,000 times more operations than today's quantum computers. To represent the computational state of an IBM Starling would require the memory of more than a quindecillion (10^48) of the world's most powerful supercomputers. With Starling, users will be able to fully explore the complexity of its quantum states, which are beyond the limited properties able to be accessed by current quantum computers. IBM, which already operates a large, global fleet of quantum computers, is releasing a new Quantum Roadmap that outlines its plans to build out a practical, fault-tolerant quantum computer. 'IBM is charting the next frontier in quantum computing,' said Arvind Krishna, Chairman and CEO, IBM. 'Our expertise across mathematics, physics, and engineering is paving the way for a large-scale, fault-tolerant quantum computer — one that will solve real-world challenges and unlock immense possibilities for business.' A large-scale, fault-tolerant quantum computer with hundreds or thousands of logical qubits could run hundreds of millions to billions of operations, which could accelerate time and cost efficiencies in fields such as drug development, materials discovery, chemistry, and optimization. Starling will be able to access the computational power required for these problems by running 100 million quantum operations using 200 logical qubits. It will be the foundation for IBM Quantum Blue Jay, which will be capable of executing 1 billion quantum operations over 2,000 logical qubits. A logical qubit is a unit of an error-corrected quantum computer tasked with storing one qubit's worth of quantum information. It is made from multiple physical qubits working together to store this information and monitor each other for errors. Like classical computers, quantum computers need to be error corrected to run large workloads without faults. To do so, clusters of physical qubits are used to create a smaller number of logical qubits with lower error rates than the underlying physical qubits. Logical qubit error rates are suppressed exponentially with the size of the cluster, enabling them to run greater numbers of operations. Creating increasing numbers of logical qubits capable of executing quantum circuits, with as few physical qubits as possible, is critical to quantum computing at scale. Until today, a clear path to building such a fault-tolerant system without unrealistic engineering overhead has not been published. The Path to Large-Scale Fault Tolerance The success of executing an efficient fault-tolerant architecture is dependent on the choice of its error-correcting code, and how the system is designed and built to enable this code to scale. Alternative and previous gold-standard, error-correcting codes present fundamental engineering challenges. To scale, they would require an unfeasible number of physical qubits to create enough logical qubits to perform complex operations – necessitating impractical amounts of infrastructure and control electronics. This renders them unlikely to be able to be implemented beyond small-scale experiments and devices. A practical, large-scale, fault-tolerant quantum computer requires an architecture that is: · Fault-tolerant to suppress enough errors for useful algorithms to succeed. · Able to prepare and measure logical qubits through computation. · Capable of applying universal instructions to these logical qubits. · Able to decode measurements from logical qubits in real-time and can alter subsequent instructions. · Modular to scale to hundreds or thousands of logical qubits to run more complex algorithms. · Efficient enough to execute meaningful algorithms with realistic physical resources, such as energy and infrastructure. Today, IBM is introducing two new technical papers that detail how it will solve the above criteria to build a large-scale, fault-tolerant architecture. The first paper unveils how such a system will process instructions and run operations effectively with qLDPC codes. This work builds on a groundbreaking approach to error correction featured on the cover of Nature that introduced quantum low-density parity check (qLDPC) codes. This code drastically reduces the number of physical qubits needed for error correction and cuts required overhead by approximately 90 percent, compared to other leading codes. Additionally, it lays out the resources required to reliably run large-scale quantum programs to prove the efficiency of such an architecture over others. The second paper describes how to efficiently decode the information from the physical qubits and charts a path to identify and correct errors in real-time with conventional computing resources. From Roadmap to Reality The new IBM Quantum Roadmap outlines the key technology milestones that will demonstrate and execute the criteria for fault tolerance. Each new processor in the roadmap addresses specific challenges to build quantum systems that are modular, scalable, and error-corrected: · IBM Quantum Loon, expected in 2025, is designed to test architecture components for the qLDPC code, including 'C-couplers' that connect qubits over longer distances within the same chip. · IBM Quantum Kookaburra, expected in 2026, will be IBM's first modular processor designed to store and process encoded information. It will combine quantum memory with logic operations — the basic building block for scaling fault-tolerant systems beyond a single chip. · IBM Quantum Cockatoo, expected in 2027, will entangle two Kookaburra modules using 'L-couplers.' This architecture will link quantum chips together like nodes in a larger system, avoiding the need to build impractically large chips. Together, these advancements are being designed to culminate in Starling in 2029. To learn more about IBM's path to scaling fault tolerance, read our blog here, and watch our IBM Quantum scientists in this latest video.
Cision Canada
4 days ago
- Business
- Cision Canada
IBM Sets the Course to Build World's First Large-Scale, Fault-Tolerant Quantum Computer at New IBM Quantum Data Center
IBM Quantum roadmap, processors, and infrastructure outline clear path to IBM Quantum Starling, expected to be first large-scale, fault-tolerant quantum computer Breakthrough research defines key elements for an efficient fault-tolerant architecture — charting the first viable path toward a system projected to run 20,000 times more operations than today's quantum computers Representing the computational state of IBM Starling would require the memory of more than a quindecillion (10 48) of the world's most powerful supercomputers YORKTOWN HEIGHTS, N.Y., June 10, 2025 /CNW/ -- IBM (NYSE: IBM) unveiled its path to build the world's first large-scale, fault-tolerant quantum computer, setting the stage for practical and scalable quantum computing. Delivered by 2029, IBM Quantum Starling will be built in a new IBM Quantum Data Center in Poughkeepsie, New York and is expected to perform 20,000 times more operations than today's quantum computers. To represent the computational state of an IBM Starling would require the memory of more than a quindecillion (10 48) of the world's most powerful supercomputers. With Starling, users will be able to fully explore the complexity of its quantum states, which are beyond the limited properties able to be accessed by current quantum computers. IBM, which already operates a large, global fleet of quantum computers, is releasing a new Quantum Roadmap that outlines its plans to build out a practical, fault-tolerant quantum computer. "IBM is charting the next frontier in quantum computing," said Arvind Krishna, Chairman and CEO, IBM. "Our expertise across mathematics, physics, and engineering is paving the way for a large-scale, fault-tolerant quantum computer — one that will solve real-world challenges and unlock immense possibilities for business." A large-scale, fault-tolerant quantum computer with hundreds or thousands of logical qubits could run hundreds of millions to billions of operations, which could accelerate time and cost efficiencies in fields such as drug development, materials discovery, chemistry, and optimization. Starling will be able to access the computational power required for these problems by running 100 million quantum operations using 200 logical qubits. It will be the foundation for IBM Quantum Blue Jay, which will be capable of executing 1 billion quantum operations over 2,000 logical qubits. A logical qubit is a unit of an error-corrected quantum computer tasked with storing one qubit's worth of quantum information. It is made from multiple physical qubits working together to store this information and monitor each other for errors. Like classical computers, quantum computers need to be error corrected to run large workloads without faults. To do so, clusters of physical qubits are used to create a smaller number of logical qubits with lower error rates than the underlying physical qubits. Logical qubit error rates are suppressed exponentially with the size of the cluster, enabling them to run greater numbers of operations. Creating increasing numbers of logical qubits capable of executing quantum circuits, with as few physical qubits as possible, is critical to quantum computing at scale. Until today, a clear path to building such a fault-tolerant system without unrealistic engineering overhead has not been published. The Path to Large-Scale Fault Tolerance The success of executing an efficient fault-tolerant architecture is dependent on the choice of its error-correcting code, and how the system is designed and built to enable this code to scale. Alternative and previous gold-standard, error-correcting codes present fundamental engineering challenges. To scale, they would require an unfeasible number of physical qubits to create enough logical qubits to perform complex operations – necessitating impractical amounts of infrastructure and control electronics. This renders them unlikely to be able to be implemented beyond small-scale experiments and devices. A practical, large-scale, fault-tolerant quantum computer requires an architecture that is: Fault-tolerant to suppress enough errors for useful algorithms to succeed. Able to prepare and measure logical qubits through computation. Capable of applying universal instructions to these logical qubits. Able to decode measurements from logical qubits in real-time and can alter subsequent instructions. Modular to scale to hundreds or thousands of logical qubits to run more complex algorithms. Efficient enough to execute meaningful algorithms with realistic physical resources, such as energy and infrastructure. Today, IBM is introducing two new technical papers that detail how it will solve the above criteria to build a large-scale, fault-tolerant architecture. The first paper unveils how such a system will process instructions and run operations effectively with qLDPC codes. This work builds on a groundbreaking approach to error correction featured on the cover of Nature that introduced quantum low-density parity check (qLDPC) codes. This code drastically reduces the number of physical qubits needed for error correction and cuts required overhead by approximately 90 percent, compared to other leading codes. Additionally, it lays out the resources required to reliably run large-scale quantum programs to prove the efficiency of such an architecture over others. The second paper describes how to efficiently decode the information from the physical qubits and charts a path to identify and correct errors in real-time with conventional computing resources. From Roadmap to Reality The new IBM Quantum Roadmap outlines the key technology milestones that will demonstrate and execute the criteria for fault tolerance. Each new processor in the roadmap addresses specific challenges to build quantum computers that are modular, scalable, and error-corrected: IBM Quantum Loon, expected in 2025, is designed to test architecture components for the qLDPC code, including "C-couplers" that connect qubits over longer distances within the same chip. IBM Quantum Kookaburra, expected in 2026, will be IBM's first modular processor designed to store and process encoded information. It will combine quantum memory with logic operations — the basic building block for scaling fault-tolerant systems beyond a single chip. IBM Quantum Cockatoo, expected in 2027, will entangle two Kookaburra modules using "L-couplers." This architecture will link quantum chips together like nodes in a larger system, avoiding the need to build impractically large chips. Together, these advancements are being designed to culminate in Starling in 2029. To learn more about IBM's path to scaling fault tolerance, read our blog here, and watch our IBM Quantum scientists in this latest video. Media Contacts Erin Angelini, IBM Communications [email protected] Brittany Forgione, IBM Communications [email protected] SOURCE IBM
Associated Press
25-02-2025
- Business
- Associated Press
SEALSQ Advances Quantum ASIC Development as Part of Its Quantum Roadmap
Geneva, Switzerland, Feb. 25, 2025 (GLOBE NEWSWIRE) -- Quantum ASIC initiative positions SEALSQ as a key player in ensuring semiconductor sovereignty and cybersecurity resilience for critical industries worldwide SEALSQ Corp (NASDAQ: LAES) ('SEALSQ' or 'Company'), a company that focuses on developing and selling Semiconductors, PKI, and Post-Quantum technology hardware and software products, announced today a significant milestone in its Quantum Roadmap with the advancement of Quantum Application-Specific Integrated Circuit ('Quantum ASIC') projects across multiple countries, including France, India, Spain, and USA. This strategic initiative underscores SEALSQ's commitment to innovation in the post-quantum era, delivering secure and high-performance semiconductor solutions tailored for emerging quantum-resistant applications. SEALSQ's Quantum ASICs represent a breakthrough in semiconductor design, integrating post-quantum cryptographic algorithms to safeguard digital infrastructure against the looming threat of quantum computing-based cyberattacks. As nations and enterprises prepare for the quantum era, SEALSQ's proprietary ASICs provide optimized security, efficiency, and performance for critical applications across telecommunications, automotive, IoT, and defense sectors. The global demand for ASICs is surging ( projected to grow from $24.6 billion in 2023 to approximately $41.7 billion by 2030), driven by increasing adoption in AI, IoT, and 5G technologies. SEALSQ's Quantum ASICs are uniquely positioned to capture a significant share of this market by offering unparalleled security and performance advantages over traditional microcontrollers and FPGAs. The global semiconductor industry is undergoing a transformation as nations seek to secure their digital infrastructure amidst geopolitical tensions. Taiwan currently dominates the production of advanced sub-7-nanometer chips, while the U.S.-China semiconductor race continues to intensify. SEALSQ's Quantum ASIC initiative positions the company as a key player in ensuring semiconductor sovereignty and cybersecurity resilience for critical industries worldwide. SEALSQ's expertise in secure semiconductor solutions extends beyond performance optimization to embed robust, hardware-based security features, including quantum-resistant encryption and authentication protocols. These innovations are crucial for protecting IoT networks, cloud computing platforms, and artificial intelligence applications against emerging quantum threats. As SEALSQ accelerates its Quantum Roadmap, the company remains at the forefront of the transition to quantum-secure computing. By pioneering the development of Quantum ASICs, SEALSQ aims to redefine industry standards in cybersecurity, performance, and innovation. The company's strategic expansion across multiple global markets reinforces its leadership in the semiconductor industry, ensuring a future-ready approach to tackling the challenges posed by quantum advancements. About SEALSQ: SEALSQ is a leading innovator in Post-Quantum Technology hardware and software solutions. Our technology seamlessly integrates Semiconductors, PKI (Public Key Infrastructure), and Provisioning Services, with a strategic emphasis on developing state-of-the-art Quantum Resistant Cryptography and Semiconductors designed to address the urgent security challenges posed by quantum computing. As quantum computers advance, traditional cryptographic methods like RSA and Elliptic Curve Cryptography (ECC) are increasingly vulnerable. SEALSQ is pioneering the development of Post-Quantum Semiconductors that provide robust, future-proof protection for sensitive data across a wide range of applications, including Multi-Factor Authentication tokens, Smart Energy, Medical and Healthcare Systems, Defense, IT Network Infrastructure, Automotive, and Industrial Automation and Control Systems. By embedding Post-Quantum Cryptography into our semiconductor solutions, SEALSQ ensures that organizations stay protected against quantum threats. Our products are engineered to safeguard critical systems, enhancing resilience and security across diverse industries. For more information on our Post-Quantum Semiconductors and security solutions, please visit Forward-Looking Statements This communication expressly or implicitly contains certain forward-looking statements concerning SEALSQ Corp and its businesses. Forward-looking statements include statements regarding our business strategy, financial performance, results of operations, market data, events or developments that we expect or anticipates will occur in the future, as well as any other statements which are not historical facts. Although we believe that the expectations reflected in such forward-looking statements are reasonable, no assurance can be given that such expectations will prove to have been correct. These statements involve known and unknown risks and are based upon a number of assumptions and estimates which are inherently subject to significant uncertainties and contingencies, many of which are beyond our control. Actual results may differ materially from those expressed or implied by such forward-looking statements. Important factors that, in our view, could cause actual results to differ materially from those discussed in the forward-looking statements include SEALSQ's ability to continue beneficial transactions with material parties, including a limited number of significant customers; market demand and semiconductor industry conditions; and the risks discussed in SEALSQ's filings with the SEC. Risks and uncertainties are further described in reports filed by SEALSQ with the SEC. SEALSQ Corp is providing this communication as of this date and does not undertake to update any forward-looking statements contained herein as a result of new information, future events or otherwise.
Yahoo
11-02-2025
- Business
- Yahoo
SEALSQ Invests in ColibriTD to Integrate Quantum-as-a-Service Into Its Quantum Roadmap
Geneva, Switzerland, Feb. 11, 2025 (GLOBE NEWSWIRE) -- SEALSQ Corp (NASDAQ: LAES) ("SEALSQ" or "Company"), a company specializing in Semiconductors, PKI, and Post-Quantum technology hardware and software products, today announced a strategic investment in ColibriTD to integrate its quantum-as-a-service platform into SEALSQ's Quantum Roadmap. This partnership marks a significant step toward the acceleration of the second quantum revolution, offering industries unprecedented access to disruptive quantum computing technologies. Many industries, including military, aerospace, and energy stand to benefit from ColibriTD's innovation, as they resolve the underlying complex mathematical problems behind industrial use cases such as simulation of combustion, fluid dynamic, material deformation. Founded in 2019, ColibriTD has assembled a team of world-class researchers, academics, and industry leaders, all committed to delivering an end-to-end quantum computing platform. This platform is designed to operate seamlessly on both existing noisy quantum computers and emerging quantum hardware, bridging the gap between today's computational limits and tomorrow's quantum breakthroughs. Dr. Laurent Guiraud, Co-Founder and CEO of ColibriTD, commented: 'This partnership with SEALSQ is a major step forward in our mission to make quantum computing accessible to industries seeking cutting-edge solutions. By integrating our platform into SEALSQ's Quantum Roadmap, we can accelerate the development and adoption of quantum technologies, unlocking new possibilities for innovation and growth.' With this investment, ColibriTD will accelerate the development of its quantum-as-a-service platform and integrate it into SEALSQ Quantum Roadmap. The platform will initially focus Random Number Generation enhancement, SEALSQ quantum attack lab before expanding into other sectors such T° and Electromagnetic sensor applications. Additionally, the funding will bolster ColibriTD's hardware partnerships and academic collaborations while laying the groundwork for the company's open-source strategy. Carlos Moreira, CEO of SEALSQ, stated: 'This investment marks a significant milestone in our commitment to securing the quantum future. By integrating ColibriTD's quantum-as-a-service platform into SEALSQ Quantum Roadmap, we are positioning ourselves at the forefront of post-quantum cybersecurity solutions, ensuring that industries can harness the power of quantum computing securely and effectively.' Bernard Vian, General Manager of SEALSQ, said: 'The integration of ColibriTD's technology into SEALSQ's Quantum Roadmap will enhance our ability to deliver scalable quantum-secure solutions across multiple industries. This partnership not only accelerates quantum adoption but also strengthens our mission to develop robust security frameworks for the quantum era.' This strategic investment further strengthens SEALSQ's commitment to pioneering post-quantum security solutions and ensuring enterprises are well-prepared for the quantum era. About ColibriTDColibriTD is a quantum computing company focused on delivering end-to-end quantum solutions that seamlessly integrate with classical computing infrastructure. Its mission is to make quantum computing accessible to industries seeking cutting-edge solutions for real-world media inquiries, please visit Contact: Dr Laurent Guiraud - About SEALSQ:SEALSQ focuses on selling integrated solutions based on Semiconductors, PKI and Provisioning services, while developing Post-Quantum technology hardware and software products. Our solutions can be used in a variety of applications, from Multi-Factor Authentication tokens, Smart Energy, Smart Home Appliances, Medical and Healthcare and IT Network Infrastructure, to Automotive, Industrial Automation and Control Systems. Post-Quantum Cryptography (PQC) refers to cryptographic methods that are secure against an attack by a quantum computer. As quantum computers become more powerful, they may be able to break many of the cryptographic methods that are currently used to protect sensitive information, such as RSA and Elliptic Curve Cryptography (ECC). PQC aims to develop new cryptographic methods that are secure against quantum attacks. For more information, please visit Forward-Looking StatementsThis communication expressly or implicitly contains certain forward-looking statements concerning SEALSQ Corp and its businesses. Forward-looking statements include statements regarding our business strategy, financial performance, results of operations, market data, events or developments that we expect or anticipates will occur in the future, as well as any other statements which are not historical facts. Although we believe that the expectations reflected in such forward-looking statements are reasonable, no assurance can be given that such expectations will prove to have been correct. These statements involve known and unknown risks and are based upon a number of assumptions and estimates which are inherently subject to significant uncertainties and contingencies, many of which are beyond our control. Actual results may differ materially from those expressed or implied by such forward-looking statements. Important factors that, in our view, could cause actual results to differ materially from those discussed in the forward-looking statements include SEALSQ's ability to implement its growth strategies, SEALSQ's ability to continue beneficial transactions with material parties, including a limited number of significant customers; market demand and semiconductor industry conditions; and the risks discussed in SEALSQ's filings with the SEC. Risks and uncertainties are further described in reports filed by SEALSQ with the SEC. SEALSQ Corp is providing this communication as of this date and does not undertake to update any forward-looking statements contained herein as a result of new information, future events or otherwise. SEALSQ MoreiraChairman & CEOTel: +41 22 594 3000info@ SEALSQ Investor Relations (US)The Equity Group CatiTel: +1 212 836-9611 lcati@ in to access your portfolio
