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.

The post SEALSQ Transitions Miraex Quantum Photonics Technology into Commercial Deployment Following 100% Acquisition appeared first on ITDigest.

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

The post IonQ Completes Acquisition of SkyWater Technology to Advance Quantum Manufacturing appeared first on ITDigest.

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

The post AT&T Expands D-Wave Partnership to Drive Quantum-Powered Network Optimization appeared first on ITDigest.

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.

The post IBM to Acquire HRL Laboratories to Accelerate Next-Gen Quantum Innovation appeared first on ITDigest.

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

The post QuickLogic and PQSecure Enable Reprogrammable Post-Quantum Cryptography for SoCs appeared first on ITDigest.

The post SEALSQ and GlobalFoundries Partner to Accelerate Quantum Ecosystems appeared first on ITDigest.

The funding will accelerate QIZ’s rapid growth, deepen product development, and expand the company’s presence in the market as enterprises prepare for one of the most significant cybersecurity transitions of the decade: the move from today’s vulnerable cryptographic infrastructure to quantum-safe security.

Quantum computing is reshaping the risk model behind the encryption that protects financial systems, communications, digital identity, cloud infrastructure, supply chains, and critical national infrastructure. The urgency is accelerating: Google, IBM, Palo Alto Networks and Gartner, have all warned that quantum computers could threaten current encryption systems as early as 2029, referred to as Q-Day. Combined with the long timelines required for enterprise migration, the message is clear: Q-Day is no longer a distant theoretical event, and waiting is no longer a viable strategy.

The challenge is here. Organizations must understand what cryptography they use, where it lives, who owns it, which business systems depend on it, and how to prioritize remediation. Sensitive data harvested today may be decrypted as soon as 2029, when quantum computers capable of breaking existing cryptography emerge, while the migration of complex cryptographic environments can take years.

Also Read: Atom Computing and Phasecraft Announce Strategic Collaboration to Accelerate Development of Next-Generation Materials 

QIZ was built to address exactly that challenge.

“Post-quantum readiness is quickly becoming a board-level cybersecurity and business priority,” said Ben Volkow, Co-Founder and CEO of QIZ Security. “Enterprises cannot migrate what they cannot see, and they cannot manage cryptographic risk through one-time assessments. QIZ gives organizations the continuous control layer they need to understand, govern, and modernize cryptography before Q-Day arrives.”

QIZ provides continuous cryptographic posture and PQC management across complex enterprise environments. QIZ accelerates the transition to quantum-safe security by enabling organizations to instantly discover cryptographic assets, model risks, and enforce remediation across their infrastructure, ensuring total crypto-agility.

QIZ is designed as an end-to-end operating layer for enterprise cryptography management across hybrid and complex environments.

QIZ was founded by industry veterans Ben Volkow, Lenny Ridel, and Dr. Itan Barmes, a team with deep experience across cybersecurity, enterprise, and post-quantum transformation. Barmes previously led the Global Quantum Cyber Readiness Team at Deloitte, where he worked with some of the world’s largest organizations on quantum-safe readiness and strategy.

“QIZ is attacking one of the most important and under-addressed cybersecurity problems of the coming decade,” said Amit Karp, Partner at Bessemer Venture Partners. “QIZ brings unique capabilities that can turn post-quantum readiness from strategy into execution.”

QIZ is rapidly emerging as an early leader in the Post Quantum category, with strong traction across financial services , telecommunications, healthcare, and critical infrastructure. The company is already working with some of the world’s largest brands, and is scaling quickly across product and go-to-market to meet accelerating demand.

The company is also building a strong ecosystem of strategic partnerships with leading technology and advisory organizations, including Cisco, AWS, Google, CrowdStrike, Deloitte, EY, and IBM, helping customers accelerate cryptographic discovery, risk assessment, governance, and post-quantum migration planning.

“Federal agencies and large enterprises need a practical path to crypto-agility, not just awareness of the quantum threat,” said Seth Spergel, Managing Partner at Merlin Ventures. “QIZ is well positioned to help regulated organizations move from cryptographic uncertainty to actionable readiness.”

The funding comes at a time when regulatory pressure and enterprise urgency around cryptographic modernization are accelerating. Frameworks and guidance such as CNSA 2.0, NIST PQC, DORA, NIS2, PCI DSS, and sector-specific requirements are pushing organizations to assess cryptographic exposure, build migration roadmaps, and establish long-term governance over their cryptographic estate.

“QIZ is entering the market at a pivotal moment,” said Dorit Dor, Co-Founder at Qbeat Ventures. “Its combination of deep technical expertise, clear market demand, and a highly execution-focused platform positions the company as a leader in the emerging PQC management category.”

“Cryptography is everywhere, but in most organizations it is not centrally governed,” said Dr. Itan Barmes, Co-Founder and Chief Strategy Officer of QIZ Security. “The post-quantum transition is forcing enterprises to confront that reality. Our mission is to give them the platform and operational path to become crypto-agile.”

Source: PRNewswire

The post QIZ Security Raises $17M Seed to Lead Cyber Readiness for the Post-Quantum Era appeared first on ITDigest.

The asset integration addresses a critical gap between raw superconducting hardware and domain-specific industrial workflows across the automotive, aerospace, chemical, materials science, and pharmaceutical sectors. Quantistry’s cloud-native simulation platform features an intelligent machine learning and AI abstraction layer that automates the construction of molecular compounds. This framework eliminates the need for deep quantum expertise by automatically routing highly complex data workloads across classical high-performance computing (HPC) infrastructures, native AI environments, and quantum backends. By onboarding Quantistry’s core quantum chemistry engineering team, IQM will deliver an end-to-end, full-stack applications environment that allows industrial R&D teams to build scalable proofs-of-concept without changing platform ecosystems.

Also Read: Qblox and HPE Form Alliance to Fuse Supercomputing with Quantum Hardware

Highlighting how the alignment builds functional value over basic raw processing power, Jan Goetz, CEO and Co-Founder of IQM Quantum Computers, stated: “True commercialization of quantum computing requires more than powerful hardware. It requires a bridge between hardware, software, and real industrial applications. The acquisition of Quantistry’s software assets builds that bridge. It accelerates our software development timeline in a capital-efficient way, and brings in a technical team whose expertise will help us deliver cloud-accessible simulation value to enterprise customers.”

Underscoring the accelerated time-to-market achieved by merging cloud-native analytics with hardware infrastructure, Dr. Marcel Quennet, Co-Founder and CEO of Quantistry, concluded: “Joining forces with IQM Quantum Computers represents a monumental next chapter for our technology and the industry. IQM’s world-class quantum hardware infrastructure and deep institutional trust provide the ultimate launchpad to scale our simulation platform. Together, we will enable R&D teams to model complex molecular and physical properties with unprecedented speed, moving from theoretical simulation to market-ready material innovation faster than ever before.”

Read More: IQM Quantum Computers Acquires Assets of Quantistry GmbH to Bridge the Gap Between Quantum Algorithms and Solutions for Industrial Enterprises

The post IQM Quantum Computers Acquires Quantistry Assets to Accelerate Industrial Simulation appeared first on ITDigest.

Fusion reactions, if achieved, will produce near-infinite, free-scarbon energy. Yet, it will be necessary that the design of fusion reactors is capable of providing materials that not only resist high levels of heat and plasma exposure but also intense neutron radiation for very long operational lifetimes. Predicting how different atomic structures will behave or degrade under such conditions has generally been beyond the reach of classical computers due to the exponential complexity of the quantum-mechanical interaction.

“Discovering and validating materials that can survive the interior of a fusion reactor is one of the greatest engineering challenges of our time,” said a senior research representative from Oak Ridge National Laboratory. “By partnering with IBM and Cleveland Clinic, we have shown that quantum computing has matured to a level where it can begin tackling these highly complex atomic simulations, accelerating our timeline toward commercial fusion energy.”

Also Read: ZeroTier Launches Quantum RC2 to Advance Post-Quantum Networking

Harnessing Utility-Scale Quantum Systems for Materials Science

The research team utilized IBM’s utility-scale quantum systems to execute the simulation algorithms. By mapping the electronic and structural properties of specialized candidate materials—such as advanced tungsten alloys and composite ceramics—directly onto quantum bits (qubits), the scientists were able to calculate atomic binding energies and structural defects with unprecedented precision.

The milestone delivers major technical advancements across several core scientific vectors:

Extreme Radiation Simulation: Models how high-energy neutron bombardment displaces atoms within a material’s crystal lattice, predicting structural degradation over time.

Thermal Stress Mapping: Evaluates how candidate fusion materials expand, contract, and conduct intense heat at the atomic level.

Algorithmic Portability: Leverages quantum error-mitigation techniques to run high-fidelity simulations on noisy, near-term quantum hardware.

Cross-Disciplinary Optimization: Explores how quantum algorithms designed for molecular biology and healthcare can be adapted to solve complex problems in physics and energy production.

Bridging the Gap Between Healthcare and Material Physics

The inclusion of Cleveland Clinic in a nuclear fusion materials project highlights a significant trend toward cross-disciplinary technology platforms. As part of their ongoing Discovery Accelerator partnership with IBM, Cleveland Clinic researchers have heavily invested in developing quantum algorithms for molecular modeling, drug discovery, and cellular simulation.

The mathematical frameworks developed to simulate complex biological molecules proved directly applicable to the atomic structures of fusion materials, demonstrating that quantum computing capabilities can scale seamlessly across entirely different scientific domains.

“The computational barriers in quantum chemistry are fundamentally the same, whether you are analyzing a complex protein for a life-saving therapy or a structural alloy for a clean energy reactor,” said a spokesperson for Cleveland Clinic. “This milestone underscores the immense value of collaborative research. The quantum methodologies we are perfecting together will have a profound ripple effect across healthcare, energy, and global industry.”

The peer-reviewed scientific findings and data models stemming from the computations are being prepared for open-source publication to benefit the broader global research community. Energy sector engineers, materials scientists, and quantum software developers can review the active algorithmic frameworks, explore hardware configuration details, and analyze initial simulation results by visiting the official IBM Research portal.

The post IBM, Oak Ridge National Lab, and Cleveland Clinic Compute Fusion Materials via Quantum Computing appeared first on ITDigest.