To dismantle this physical scale barrier and establish an expandable hardware architecture for fault-tolerant computing, IBM announced the successful connection and cooling of two modular cryogenic systems into a single, shared ultra-cold environment.

Cooled to below 15 millikelvin a temperature more than 180 times colder than deep space the rectangular, modular units enable low-latency, chip-to-chip communication across separate cryostats. For the High-Performance Computing (HPC), Supercomputing, and Quantum Hardware Engineering industry, this launch marks a defining milestone: shifting quantum hardware away from isolated, single-fridge prototypes and establishing modular, multi-chip cryogenic fabrics as the baseline for enterprise quantum systems.

Technical Performance: Connecting Modular Cryostats Below 15 Millikelvin

The primary technical breakthrough behind IBM’s demonstration is the ability to join separate cryogenic vacuum chambers into a single, seamless thermal environment without introducing heat leaks or decoherence. Standing over 8 feet tall and 8 feet wide combined, the joined modules cooled down to 4 Kelvin (-452.5°F) in under five days before reaching their final operating temperature of under 15 millikelvin.

Also Read: F5 Launches Agentic-Ready AI Gateway to Optimize Enterprise AI Economics and Governance

Key technical and architectural capabilities delivered by the milestone include:

12x Increased Wiring Capacity: Each module features a rectangular design providing up to 12 times more interior wiring space than previous IBM systems, removing the density bottlenecks that previously choked chip control lines.

L-Coupler Inter-Chip Communication: Modules connect in tight rows using IBM’s “L-coupler” technology—3.3-foot superconducting links that pass quantum information directly between processors in separate modules.

On-Track Roadmap to “IBM Quantum Starling”: Serves as the core physical foundation for IBM’s 2029 fault-tolerant quantum computer (Starling), designed to run 100 million quantum gate operations across 200 logical qubits.

Modular Field Assembly: The rectangular units can be manufactured and tested independently, separated for transport, and reassembled on client sites to build arbitrarily large quantum systems.

Later this year, IBM plans to install its next-generation Nighthawk processors into these connected modules to begin live performance testing, targeting systems with at least 1,000 programmable qubits by 2027.

Transforming the High-Performance Computing (HPC) & Supercomputing Industry

The validation of modular, multi-chip cryogenic architectures triggers major structural shifts across the broader high-performance computing landscape.

The Death of “Single-Chip” Quantum Benchmarks
For years, quantum hardware manufacturers competed on physical qubit counts packed onto a single die.

IBM’s successful modular connection demonstrates that single-chip scaling is an obsolete metric. As error-correction algorithms demand thousands of physical qubits to yield a single fault-tolerant logical qubit, no single chip can accommodate the required density. The supercomputing industry is entering a modular interconnect era, where quantum vendors will be evaluated on inter-chip coupler bandwidth, thermal isolation across modules, and modular cryostat expansion capacity.

Standardizing Hybrid Quantum-HPC Supercomputing Facilities
Historically, quantum fridges were treated as standalone laboratory novelties that sat apart from primary data center racks.

By adopting a rectangular, tileable form factor that can be built to arbitrary lengths, IBM aligns quantum hardware design with standard supercomputing data center layouts. National supercomputing laboratories and cloud providers can now integrate modular quantum processing units (QPUs) alongside classical CPU and GPU clusters, treating cryogenic modules as modular compute racks.

Broad Operational Impact on Enterprise Businesses

For enterprise organizations in pharmaceuticals, materials science, aerospace, and financial services looking to leverage quantum computing for complex industrial problems, modular cryogenics provides clear strategic and commercial advantages:

De-Risking Enterprise Investments in Quantum Software
Corporations have hesitated to invest heavily in quantum software development due to uncertainty over whether hardware could ever scale enough to run fault-tolerant, error-corrected algorithms. Proving that cryostats can be linked modularly reassures enterprise technology officers that fault-tolerant systems will arrive on schedule, justifying current capital allocations for quantum algorithm development.

Upgradable Architecture Protects Capital Expenditure
In classical data centers, servers are regularly swapped out without demolishing the building. Modular cryogenic architecture brings that same flexibility to quantum computing. Enterprise clients can start with a two-module setup and add additional cryogenic units as their computational needs grow, protecting initial capital investments and establishing a sustainable path toward fault-tolerant utility.

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Also Read: Quanta Computer and Quantinuum Partner to Build Industrial Foundation for Quantum Computing

Highlighting the collaborative goal of empowering the national research community, Gordon Harling, President and CEO of CMC Microsystems, stated: “Partnering with IonQ allows us to bring world-class trapped-ion quantum computing hardware directly to Canadian researchers, students, and businesses. By providing seamless cloud access through our established network, we are removing barriers to innovation and ensuring Canada remains at the forefront of quantum research and technology commercialization.” Reaffirming the commercial and educational impact of democratizing quantum hardware, Peter Chapman, CEO and President of IonQ, noted: “IonQ is committed to making enterprise-grade quantum computing accessible globally. This collaboration with CMC Microsystems opens new opportunities for Canada’s thriving scientific and industrial sectors to explore real-world applications and drive quantum innovation forward.” Ultimately, this partnership builds a critical bridge between commercial quantum systems and Canada’s growing quantum technology landscape, ensuring sustainable ecosystem growth and technical competitiveness.

Read More: IonQ and CMC Microsystems Announce Collaboration to Expand Cloud Quantum Computing Access in Canada

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Also Read: IonQ Completes Acquisition of SkyWater Technology to Advance Quantum Manufacturing

Contextualizing the strategic importance of building a scalable supply chain for quantum infrastructure, C.C. Leung, Vice Chairman and President of Quanta Computer, stated: “Quantum computing represents the next frontier of high-performance computing. Partnering with Quantinuum allows us to apply our expertise in large-scale hardware manufacturing to accelerate the deployment of fault-tolerant quantum systems for industries worldwide.” Reaffirming the shared vision to commercialize quantum capabilities at scale, Rajeeb Hazra, CEO of Quantinuum, added: “To realize the full potential of quantum computing, we must build a reliable, high-volume industrial supply chain. Our partnership with Quanta Computer is a pivotal step toward making fault-tolerant quantum hardware accessible and scalable for global enterprise adoption.” Ultimately, this cross-industry alliance sets a critical benchmark for transforming quantum technology from specialized laboratories into scalable, commercial infrastructure.

Read More: Quanta Computer and Quantinuum Partner to Build an Industrial Foundation for Large-Scale Quantum Computing

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To bridge this computational gap and make quantum-accelerated problem solving directly accessible to global enterprise organizations, quantum computing pioneer Quantinuum announced a multi-year strategic partnership with Oracle.

Under the agreement, Quantinuum’s flagship quantum computer, Helios, will be deployed directly within a U.S.-based Oracle Cloud Infrastructure (OCI) AI data center. For the Cloud Computing, High-Performance Computing (HPC), and Enterprise AI industry, this launch represents a major turning point: transitioning quantum processing out of specialized physics labs and embedding it directly alongside classical AI workloads in public cloud environments.

The News: Bringing High-Fidelity Quantum Processing into the Cloud Mainstream

The core technological breakthrough behind the collaboration is the deep integration between Quantinuum’s trapped-ion hardware and OCI’s high-speed cloud network. Rather than forcing enterprise research teams to procure, install, or operate dedicated cryogenic and optical hardware on-premises, OCI customers will be able to access Helios as a managed cloud service.

Also Read: Nutanix Puts Agentic AI into Action for Enterprises with Model Context Protocol Integration

Key technical highlights of the integrated OCI Quantum Service include:

High-Fidelity Trapped-Ion Hardware: Helios, Quantinuum’s third-generation quantum computer, features a 98-physical-qubit trapped-ion architecture capable of operating 48 logical qubits. The system achieves an average two-qubit gate fidelity of 99.921%, surpassing the critical “three 9s” accuracy threshold required for reliable enterprise quantum operations.

Extreme Energy Efficiency: While top-tier supercomputers routinely consume between 16 to 39 megawatts of electricity, a single Helios system operates at roughly 60 kilowatts drawing less than 1% of the power needed by traditional supercomputers for targeted mathematical workloads.

Hybrid Quantum-Classical Programming: Oracle plans to preview the service in the coming months, offering open-source hybrid programming frameworks that allow software engineers to combine Quantinuum’s development tools with native OCI compute, storage, identity, and GPU fabrics.

Transforming the Cloud Computing and Enterprise IT Sector

Integrating commercial quantum systems into major public cloud networks signals a fundamental evolution in how enterprise cloud providers design their technology stacks.

The Convergence of Quantum, AI, and Classical HPC
Historically, cloud computing vendors treated AI models, supercomputing clusters, and quantum experiments as distinct technology silos.

The Quantinuum – Oracle alliance highlights the market shift toward tri-hybrid computing. As foundational AI models expand in scale, using quantum hardware to solve specific sub-problems such as high-dimensional matrix optimization, molecular state simulation, or feature mapping—will allow classical GPUs to operate with far higher efficiency. Cloud platforms will increasingly be evaluated on how fluidly they pass data between GPUs, classical CPUs, and quantum processing units (QPUs).

Lowering Capital Barriers to Commercial Quantum Adoption
Before cloud integration, deploying quantum computing required multi-million-dollar capital investments, specialized facility management, and bespoke software pipelines.

Delivering Helios as a cloud-hosted service on OCI democratizes access. Organizations can explore quantum-classical algorithms on a pay-as-you-go basis under the same identity, governance, and security models they already use for their everyday cloud operations.

Broad Operational Impact on Enterprise Businesses

For commercial businesses operating in research-intensive sectors, the availability of managed hybrid quantum compute delivers direct strategic and financial advantages:

De-Risking R&D While Cutting Compute Costs
Building in-house quantum infrastructure is cost-prohibitive for most corporations. Utilizing OCI’s managed quantum service allows enterprises to de-risk technological innovation, test quantum algorithms on real hardware, and scale compute resources on demand while managing capital expenditure.

Preparing Organizations for the Post-Quantum Era
As quantum hardware matures toward full fault tolerance, organizations that fail to build quantum-literate engineering teams risk falling behind. Cloud-accessible quantum-AI environments provide enterprise engineering teams with a practical environment to build proprietary intellectual property today, ensuring a smooth transition into the era of quantum-accelerated business velocity.

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The strategic buyout serves as a cornerstone in SEALSQ’s overarching vision to establish the industry’s first Quantum Sovereign Vertical Stack—a unified technology infrastructure spanning post-quantum cryptography, secure semiconductor hardware, quantum computing, quantum networking, and quantum communications.

Strategic Integration & Sovereign Stack Expansion

Finalized on June 2, 2026, the transaction was backed by SEALSQ’s $200 million Quantum Fund (SEALQUANTUM.com), which has directed over $65 million into high-impact quantum technologies to date. Located at the EPFL Innovation Park in Ecublens, Switzerland, Miraex now serves as the anchor for SEALSQ’s quantum photonics developments.

“This marks SEALSQ’s transition from breakthrough research to commercial deployment,” said Carlos Moreira, Chairman and CEO of SEALSQ. “Miraex closes the quantum interconnect layer of our Quantum Sovereign Vertical Stack, the one piece the industry cannot scale without, and we now own it outright, acquired and funded through our $200 million Quantum Fund. That gives us an end-to-end offering no competitor can match today: secure semiconductors, post-quantum cryptography, quantum networking, distributed quantum computing, and secure satellite communications, delivered from a single sovereign platform. We are taking that stack to governments, defense organizations, cloud providers, telecom operators, and critical infrastructure operators worldwide. This is how a research pipeline becomes a revenue pipeline, and it is why we remain confident in our growth trajectory and our Root-to-Qubit strategy.”

Also Read: IBM to Acquire HRL Laboratories to Accelerate Next-Gen Quantum Innovation

Pioneering Quantum Interconnect Architecture

At the center of Miraex’s portfolio is its proprietary Thin Film Lithium Tantalate Photonic Integrated Circuit (TFLT PIC) architecture. The technology bridges a critical gap in scalable quantum infrastructure by converting quantum data between microwave frequencies (utilized by superconducting quantum processors) and optical frequencies (required for long-distance optical communications).

SEALSQ is focusing its commercial deployment across four major high-growth sectors:

• Distributed Quantum Computing (DQC): Integration of individual quantum computers to develop scalable quantum supercomputing systems.
• Quantum Networking: Provision of photonic infrastructure for wide-scale deployment of Quantum Key Distribution (QKD) and future quantum networks.
• Quantum Sensing: Development of highly sensitive photonic technologies for applications in GPS-denied navigation, defense systems, industrial sensing, and infrastructure monitoring.
• Quantum Orbital Space Cloud (QOSC): Utilization of radiation-hardened photonic systems to safeguard space-based quantum networks and satellite communication.

Accelerating Global Quantum Adoption

Integration of Miraex’s photonics portfolio helps in achieving the objective of SEALSQ’s long-term approach to providing sovereign quantum infrastructure. By bringing together secure hardware, post-quantum cryptography, photonics interconnects, trusted cloud infrastructure, and space communications networks, SEALSQ strives to make the adoption easier for enterprises and governments via global strategic partnerships.

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Also Read: AT&T Expands D-Wave Partnership to Drive Quantum-Powered Network Optimization

“This combination enables IonQ to drive our quantum computing roadmap and secure a fully scalable supply chain domestically. It unlocks IonQ’s semiconductor-based approach to manufacturing new generations of our quantum computers, while ensuring SkyWater’s ability to deliver the excellent quality and attention customers expect,” de Masi added. “Joining the IonQ team marks a pivotal moment in SkyWater’s evolution,” said Thomas Sonderman, CEO of SkyWater Technology. “As the largest semiconductor foundry based in the U.S., SkyWater is already the partner of choice for advanced development and manufacturing services in both the public and private sectors as quantum computing shifts from research to manufacturing. Being part of IonQ will accelerate multiple engineering pathways for next-generation quantum chips, delivering speed, precision, and scale.”

Read More: IonQ Completes Acquisition of SkyWater Technology

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Meanwhile, high-performance computing (HPC) teams in material science, electronics, and chemistry ran into rigid classical simulation limits. Modeling complex quantum interactions such as atomic behaviors in superconductors or high-frequency optoelectronics demands exponential classical memory, leaving R&D departments reliant on slow, expensive physical lab synthesis.

To permanently shift quantum computing from experimental physics to trusted scientific tooling, IBM and quantum error reduction software pioneer Qedma Quantum Computing announced a landmark study demonstrating verifiable quantum advantage.

By pairing Qedma’s QESEM error-mitigation software with cloud-accessible IBM Quantum Heron processors, researchers successfully modeled two-dimensional quantum material dynamics across 74 qubits—achieving accurate, verifiable results where leading classical supercomputers failed to deliver consistent answers.

For the Quantum Computing, High-Performance Computing (HPC), Advanced Materials, and Semiconductor R&D industries, this milestone marks a fundamental turning point: transitioning quantum systems out of academic research and into commercially viable R&D workflows.

Also Read: Grid Dynamics Accelerates Enterprise Agentic AI Rollout with GAIN Platforms and Workforce Certification

The News: Verifiable, Error-Mitigated Quantum Advantage on Commercial Hardware

The primary breakthrough behind the IBM and Qedma study lies in solving quantum computing’s most persistent hurdle: hardware noise. Quantum systems are inherently sensitive to thermal and electromagnetic interference, which degrades calculations before meaningful work can be completed. Rather than waiting years for fully fault-tolerant hardware, Qedma’s patented QESEM software suppresses noise on current quantum systems.

The joint research effort achieved several technical milestones:

Modeling Complex Physical Systems: Investigated the multi-qubit dynamics of a Floquet Ising model a framework used to evaluate how magnetic properties evolve when stimulated by light or electromagnetic pulses.

Outperforming World-Class Supercomputers: Benchmarked quantum results against leading classical simulation algorithms running on top supercomputers (including Japan’s RIKEN platform), reaching a threshold where classical methods lost precision while the quantum system remained accurate.

Commercial Hardware & Software Availability: Executed the entire workload using commercially available cloud infrastructure (IBM Quantum Platform) and software available through the Qiskit Functions Catalog, proving that utility-grade quantum computing is accessible today.

Transforming the Materials Science, HPC, and Quantum Software Sectors

Achieving verifiable quantum advantage using off-the-shelf cloud hardware and specialized error software fundamentally reshapes how commercial R&D and tech stack providers operate.

The Shift from Raw Hardware Scale to “Software-Defined Precision”
For years, the quantum industry evaluated progress strictly by physical qubit counts. However, adding noisy qubits without effective error mitigation yields unusable data.

The IBM-Qedma breakthrough shifts the industry standard toward software-defined error reduction. Quantum hardware manufacturers and software developers will increasingly be judged on their ability to deliver error-mitigated, verifiably accurate outputs on 50-to-100+ qubit systems, establishing algorithmic error reduction as an essential layer of the modern quantum stack.

Bridging Quantum with High-Performance Computing (HPC)
Historically, supercomputing centers viewed quantum processors as distant experimental co-processors.

Demonstrating that error-mitigated quantum runs can solve material physics problems where supercomputer clusters stall accelerates the creation of hybrid Quantum-HPC architectures. Enterprise HPC centers will increasingly integrate quantum cloud endpoints directly into simulation pipelines to offload classically intractable quantum physics calculations.

Broad Operational Impact on Enterprise R&D and Manufacturing Businesses

For enterprise organizations in aerospace, energy, semiconductor manufacturing, and pharmaceuticals, deploying trusted quantum-assisted simulations introduces direct commercial advantages.

Compress R&D Timelines for Next-Generation Tech
Developing breakthrough materials such as room-temperature superconductors, higher-density battery chemistries, or ultrafast optoelectronics—traditionally takes over a decade of empirical lab testing.

By accurately simulating complex molecular and magnetic interactions in software before entering the laboratory, R&D teams can compress development cycles from years to months. Companies can evaluate thousands of material candidates digitally, protecting operational budgets from failed physical trials.

Securing First-Mover Advantage in High-Tech Manufacturing
As classical simulation walls stall innovation in semiconductor lithography and energy storage, enterprises that integrate trusted quantum workflows today will gain a decisive competitive moat. Commercial leaders can pioneer novel materials with superior thermal, electrical, and structural properties turning fundamental quantum physics into a practical engine of market leadership and sustainable growth.

The post IBM and Qedma Demonstrate Quantum Advantage to Unlock Next-Gen Materials Discovery appeared first on ITDigest.

Also Read: SEALSQ and GlobalFoundries Partner to Accelerate Quantum Ecosystems

“D-Wave’s annealing quantum computing technology gives us a new way to approach optimization and high-intensity compute challenges across AT&T’s network operations. The speed we’re seeing with D-Wave challenges what’s currently possible.” Emphasizing the broader commercial momentum of production-stage quantum deployments, Alan Baratz, CEO of D-Wave, added: “AT&T’s work with D-Wave is a powerful example of how leading enterprises are beginning to turn to quantum computing for solving real business problems.” By scaling its quantum integration while simultaneously evaluating D-Wave’s forthcoming gate-model systems for future quantum security applications, AT&T reinforces its broader enterprise innovation strategy of pairing quantum performance with AI and software-defined infrastructure to modernize how modern network fabrics are built, maintained, and optimized.

Read More: AT&T Signs Agreement to Expand Use of D-Wave’s Quantum Computing Technology Across Network Operations

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Following the closing of the transaction, both Boeing and General Motors will maintain collaborative partnerships with IBM to advance quantum applications and high-performance industrial workloads. Financial terms of the acquisition were not disclosed.

“The HRL team will help IBM push even farther forward toward the frontiers of quantum innovation,” said Jay Gambetta, IBM’s Director of Research and IBM Fellow. “This talented group of researchers brings a broad portfolio of technologies that will strengthen IBM’s long-term plans to deliver useful quantum computing to the world, bringing together advances across quantum computing, quantum sensing, and quantum networking to enable the applications of the future.”

Also Read: IBM, Oak Ridge National Lab, and Cleveland Clinic Compute Fusion Materials via Quantum Computing

Unifying Superconducting and Silicon-Spin Qubit Architecture

The transaction establishes a dual-track hardware approach for IBM as the industry shifts toward fault-tolerant quantum computing. While IBM’s core architectures rely on superconducting circuits, silicon-spin qubits provide a complementary modality built upon standard semiconductor fabrication infrastructure. The shared manufacturing foundation allows both paradigms to accelerate research iterations across packaging, control electronics, and cryogenics.

The addition of HRL’s technical capabilities reinforces IBM’s public roadmap toward executing utility-scale quantum workloads. This includes the planned deployment of IBM Quantum Starling by 2029 a system engineered to run 100 million quantum operations—and subsequent fault-tolerant architectures planned for the mid-2030s.

“Joining IBM is the natural next chapter for what we have built at HRL, where our team has dedicated years to exploring paths to how future quantum computers could be built at scales that today seem impossible,” said Rob Vasquez, President and Chief Executive Officer at HRL. “We now look forward to leveraging IBM’s capabilities to accelerate our work and turn long-term scientific possibilities into commercial realities.”

Expanding Industrial Horizons: Quantum Sensing and Semiconductor Ecosystems

On top of quantum hardware speedup, HRL offers plenty of experience gained over many years in fields of high-power communications, cutting-edge microelectronics, data center cooling technologies, and defense-class sensor development.

By incorporating HRL into IBM‘s core platform, the company will bring out of experimental stage applications that could revolutionize several industry verticals,

Quantum Sensing: Making affordable and accurate high precision sensors that are able to detect and measure subtle physical things such as gravitational waves, magnetic fluctuations, atomic resonances and so on.

For this application, quantum sensors could be employed in life sciences defense GPS-denied navigation and material research.

Wafer Foundry Synergy: HRL’s expertise in growing silicon on spin together with IBM’s wafer foundry Anderon, launched as a standalone quantum wafer foundry by IBM in May 2026, for domestic scale-up of quantum chip fabrication,

Advanced Materials: Rapid and efficient identification of customized materials that suit well various quantum operations will save not only resources of semiconductors but also improve efficiency of the devices at work.

It anticipates to have the transaction completed by the end of the third quarter 2026 as long as customary closing conditions are met and regulatory approvals are obtained.

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The trade study implemented CRYSTAL-1000C, targeting NIST-finalized standards FIPS 203 (ML-KEM) and FIPS 204 (ML-DSA), on QuickLogic eFPGA Hard IP built for the Intel 18A process node. The PQSecure core was successfully placed and routed within eFPGA IP cores already used by QuickLogic customers in their ASICs, with sufficient performance for most applications and substantial capacity headroom.

PQSecure’s CRYSTALS line is highly customizable to a broad range of use cases. SoC designers can use QuickLogic’s Aurora programming tools to generate a project-specific resource report and determine the optimal eFPGA configuration for their crypto-agile security needs. SoC designers can right-size the eFPGA fabric for area and power efficiency or use the remaining resources to support higher-performance configurations and side-channel countermeasures such as masking and hiding.

Also Read: QIZ Security Raises $17M Seed to Lead Cyber Readiness for the Post-Quantum Era 

The post-quantum migration is urgent: NIST’s transition timeline deprecates classical algorithms by 2030 and mandates completion by 2035, while the “harvest-now, decrypt-later” threat requires action today. Fixed-silicon cryptographic engines cannot adapt without costly re-spins. A recent study by Markets and Markets Research indicates that the global post-quantum cryptography (PQC) market is projected to grow from $420M in 2025 to over $2.8B in 2030.

With QuickLogic’s eFPGA Hard IP, ASICs/SoCs can update their cryptographic engine in the field by loading a new bitstream – swapping algorithm parameter sets, running hybrid classical and post-quantum modes during transition, or patching side-channel vulnerabilities without new silicon. QuickLogic’s Australis IP Generator produces customer-specific eFPGA Hard IP at leading process nodes as silicon-proven, GDSII-level blocks, delivering superior PPA versus soft eFPGA IP alternatives.

“This collaboration demonstrates the perfect use case for eFPGA Hard IP,” said Trey Peterson, Field Applications Engineer at QuickLogic. “The post-quantum cryptography transition is an evolving process, not a single event. SoC designers who hard-wire their security engines today face costly, avoidable re-spins. We’ve proven that a reprogrammable solution works seamlessly today while leaving the flexibility to adapt tomorrow.”

“PQSecure’s CRYSTAL-1000C-SCA delivers hardware-speed and side-channel protected post-quantum security for resource-constrained platforms,” said Luke Beckwith, Senior Hardware Engineer at PQSecure Technologies. “Our customers need to know their devices will remain secure a decade from now. Pairing our IP with QuickLogic‘s reconfigurable fabric future-proofs their hardware without requiring a new tape-out every time the threat landscape evolves.”

Source: PRNewswire

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