#quantumdevices

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South Dakota State University News in Quantum Magnetics

San Diego State University will develop quantum technology using NSF funding.

News from SDSU

An SDSU program aims to create the foundational research needed for future quantum technology. The project focusses on cutting-edge quantum computing materials with NSF assistance.

Quantum computers can quickly process large amounts of data, allowing them to solve complex problems that “classical” computers cannot. Quantum technology could speed up drug discovery and change finance, materials research, and health care, scientists say.

The interdisciplinary effort is led by SDSU College of Natural Sciences Professor Parashu Kharel, who teaches chemistry, biochemistry, and physics. For quantum technologies to thrive, researchers must store, manage, and secure qubits. Since they work like well-organised groupings of miniature magnets, magnetic materials are essential for protecting and managing qubits.

Kharel's research team of University of Virginia and University of Northern Iowa professors must find metals that can support these tiny magnet teams.

Heusler alloys are the focus. Many metals, including magnetic ones, make up these compounds. After years of research, Kharel found that Heusler alloys can support quantum computing's complex magnetic structures. Our team will study these alloys to discover which metal-material combinations could be employed as platforms for future quantum technologies.

Heusler alloys' “relative ease of synthesis and tunable magnetic properties” create a “conducive environment for the discovery of topologically protected magnetic phases,” Professor Kharel said.

Cooperative Studies and NSF Help

The $351,186 NSF Division of Materials Research grant supports the three-year study. Though SDSU is the administrative lead, the research team works with Northern Iowa and Virginia to broaden the project's scope and competence. This partnership will study how Heusler alloys' intrinsic magnetic properties can be adjusted to support “organized teams of tiny magnets”—micro magnetic structures needed for qubit stability and quantum processes.

Faculty members will synthesise unique alloy samples, characterise their magnetic and electrical behaviour, and more to determine which element combinations are best for quantum information applications. Despite being speculative, this technique could find the next generation of materials that potentially support quantum devices.

Professor Kharel studied Heusler alloys for years. According to him, their “relative ease of synthesis and tunable magnetic properties” help identify topologically protected magnetic phases, stable quantum states needed for reliable quantum technologies. Practical quantum computing requires quantum states that are “topologically protected” from certain ambient noise.

Beyond Materials: Future Education The project will challenge science and give undergraduates and postdocs research experience. The NSF plans to train a workforce to solve transdisciplinary quantum information science concerns. The US's technological and economic competitiveness depends on skilled scientists and engineers, hence NSF has been investing in quantum research infrastructure and workforce development.

NSF's duties extend beyond research. The foundation helped establish the framework for the National Quantum Virtual Laboratory, a network of shared platforms and technologies to speed up discovery across institutions and democratise quantum research resources nationwide.

Comprehensive Quantum Progress View

SDSU is part of a global quantum innovation movement. NSF, the Department of Energy, and other federal agencies are funding quantum research to promote quantum-based businesses and unleash new scientific insights. Materials science, quantum networking, and scalable quantum computing platforms are helping researchers overcome the many challenges between theoretical promise and practical technology.

SDSU uses the NSF-funded initiative for training and science. Students will gain experience for their future careers in academia, business, or national laboratories, and their work over the following three years may shape quantum materials research. The scientific community will watch Professor Kharel and his team as they begin this inquiry. Projects like this help advance the application of quantum physics to produce new technology in the 21st century.

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Common Salt Stabilizes Metallic Nanotubes for Quantum Future

Common Salt Creates High-Speed Quantum Technology Metallic Nanotubes

Metal Nanotubes

Niobium sulphide metallic nanotubes with stable, predictable properties have been created for the first time, a major materials science advance. A global team employed table salt, an unexpected element, to achieve this long-sought feat.

Researchers expect this breakthrough to lead to faster electronics, superconducting cables, and quantum technology advances. A long-term goal of nanomaterial research is stable metallic nanotubes.

Nanoscale Challenge

A human hair may include thousands of nanotubes, tiny cylindrical structures. Atomic sheets are rolled into hollow tubes. They behave differently from bulk materials due to their nanoscale dimension. They are promise for next-generation electronics, energy, and quantum research technologies due to their outstanding properties. Nanotubes allow electricity to flow freely, carry heat well, and be lighter than plastic yet stronger than steel. They sometimes demonstrate astonishing quantum effects.

Penn State Materials Research Institute researchers emphasise that nanotube characteristics can be accurately modified by choosing atomic compositions. Since niobium disulphide nanotubes are metallic and have great potential for superconductivity and high-speed electronics, their tunability has spurred tremendous interest in their manufacture.

Researchers have made nanotubes from insulator boron nitride and semiconductor or semimetal carbon. However, creating stable metallic nanotubes has been difficult due to metals' complex atomic behaviour.

Penn State Materials Research Institute professor Slava V. Rotkin emphasised this metallurgical achievement. He believes the new metallic shells can achieve magnetism and superconductivity that insulating and semiconducting shells cannot. Early semimetal carbon nanotubes lacked ferromagnetism and superconductivity due to their low electron density.

Salt makes stable structures

The study team created billionths-of-a-meter-wide nanotubes from superconducting niobium disulphide. Carbon and boron nitride nanotube templates led the creation. This was impressive since these materials prefer flat sheets to rolled tubular constructions.

At a crucial moment in the method, the researchers discovered something important by adding a small amount of normal salt. As a catalyst, salt creates metallic nanotubes. When salt was introduced, metallic niobium disulphide wrapped around the template instead of spreading.

This method produced mostly double-layered structures. These structures resemble nested cylinder pairs. Energy-wise, this setup worked. Computational modelling confirmed that layer interaction was essential to nanotube integrity. The structure was stabilised by electron flow between layers, like an atomic capacitor.

Precision for Next-Gen Devices

Nanoscale fabrication is affected by these predictable and stable nanotubes. Tubular niobium disulphide nanotubes tackle a long-standing issue. Traditional nanowires made from flat materials have rough edges that reduce performance, but these rolling tubes feature smooth, continuous surfaces with predictable properties.

Next-generation quantum, electrical, and superconducting devices that require atomic-level reliability may benefit from metallic nanotubes' exact construction. Niobium sulphide nanotubes are stable and predictable, making them suitable for quantum computers.

Table salt catalyzes these metallic deposits. This achievement could lead to faster electronics and superconducting connections. Researchers published their findings in ACS Nano.

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Quantum Diamond Technologies: Future Of Quantum Sensing

Diamond Thin Films Enable Foundry-Scale Quantum Technologies. A quantum diamond technology

Quantum computing pioneers IonQ, Element Six, and Amazon Web Services (AWS) announced a new approach to mass-produce laboratory-grade quantum diamond technology film in future data centers. This discovery, shown at IonQ's Quantum World Congress 2025, creates high-quality, quantum-grade diamond thin films for silicon substrates and semiconductor foundries globally. This research solves a scalability problem by using the semiconductor industry's $1 trillion investment.

Foundry-Compatible Diamond Thin Film Scaling Industrial diamond device fabrication requires high-quality, high-yield diamond thin films. In the 1950s, synthetic diamond research began, and Element Six, a branch of the De Beers Group, used diamond's extreme properties for decades. A rigorous layering procedure underpins the new method. Growth: CVD creates a high-purity diamond seed on a silicon wafer. Detachment and Bonding: The seed crystal is detached from a few hundred micrometer diamond sheet and bonded to a silicon carrier.

Silicon's proven, affordable processing infrastructure is paired with diamond's outstanding electrical properties, prolonged spin coherence periods, and color-centre defects to create a stack. Importantly, the bonding procedure uses wafer-level technologies, so the films may be handled using clean-room equipment and without diamond reactors. AWS's cloud-based simulation tools help the company predict defect densities and optimize deposition parameters quickly. The films are homogenous and perfect, meeting quantum device purity and crystallographic requirements with a yield exceeding 90%.

Foundry compatibility and heterogeneous integration is core. Bonding quantum-grade diamond sheets to silicon and silicon nitride substrates solves older custom, R&D-scale production problems. This technique provides two essential capabilities:

Foundry Compatibility

The worldwide semiconductor industry's equipment and processes can now be employed to make synthetic diamond quantum devices. Diamond-based sensors, quantum memory, and microelectromechanical systems may be mass-produced. Niccolo de Masi, Chairman and CEO of IonQ, says these foundry-compatible films “change the game” in photonic interconnects, compute processors, and quantum networking, enabling mass manufacture of dependable, high-performance systems.

Integration heterogeneity

Designers can use this functionality to create a system-level package from multiple elements, often made of different materials. Heterogeneous integration integrates semiconductor industry know-how with diamond's quantum performance. Functionalized substrates with electrical control lines can be used with diamond chip-based quantum memory for better control. This method will allow quantum memories to be integrated into complex photonic integrated circuits with detectors, switches, and modulators made of silicon nitride.

Allowing Modular Quantum Sensing and Architectures

IonQ's long-term strategy, modeled after classical supercomputing, is to build datacenter-scale quantum computers by modularly networking smaller, specialized quantum processing units (QPUs). Network fabric requires low-latency interconnects that preserve quantum states. Diamond thin films are ideal for high-speed photonic interconnects that preserve entanglement across extended distances. Silicon vacancy (SiV) flaws in diamond act as quantum memory, storing and retrieving photons carrying entanglement between QPUs with great fidelity. Scalable networks can route quantum information with negligible loss. This platform can integrate conventional control circuits directly on the silicon carrier, reducing power consumption and signal delay for large-scale quantum processes.

Role Changes for Diamond

Industrialization of quantum-grade diamond will also affect quantum sensing. Magnetometry-useful diamond nitrogen-vacancy (NV) centres can now be employed in commercial sensor arrays. These sensors are needed for accurate inertial navigation without GPS, hence defence and space companies want them. IonQ's recent acquisitions of quantum connectivity specialist Lightsynq and atomic-scale sensor specialist Vector Atomic solidify its position as a full-stack quantum platform for compute, networking, and sensing. Diamond has adapted from industrial drilling equipment in the 1970s, when its hardness and thermal conductivity changed the oil and gas industry, to quantum technology. Today, the material makes the fastest photonic interconnects, most accurate sensors, and most coherent quantum storage.

This chemical is commercially versatile:

Automotive: Diamond-based heat spreaders improve thermal control in electric car batteries. Consumer electronics: Diamond-enhanced microphones sound better in loud environments. Quantum Networks: Diamond quantum memory in data center backbones may offer ultra-low latency communication and impregnable encryption for cloud computing and financial trading. By connecting mass-produced silicon technology to quantum materials, this discovery revolutionizes diamond as an industrial semiconductor.

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$300K NSF Grant to Boost qBraid’s Quantum SDK Development

qBraid qBraid received a $300K NSF grant to develop a hardware-independent SDK for quantum software to unify quantum development.

A $300,000 Phase I grant from the National Science Foundation's (NSF) Pathways to Enable Open-Source Ecosystems (POSE) initiative to qBraid, a leading quantum software and cloud solutions platform, is a milestone for quantum computing. This considerable investment will accelerate the development and extension of the qBraid-SDK, a cutting-edge, open-source runtime and middleware framework that is hardware-independent. One interface to simplify developers' interactions with quantum technology's increasingly complex and varied universe is the initiative's principal goal. Fragmentation is a major issue for quantum software. Since vendors utilise proprietary tools and software stacks, developers are often limited to specific hardware platforms or software environments. Due to this lack of universal compatibility, researchers and developers trying to fully use quantum technology encounter challenges that inhibit development and innovation. The qBraid-SDK attempts to remove these hurdles by resolving this key fragmentation, creating a more cooperative, effective, and transparent quantum software development environment. Due to the qBraid-SDK's thorough engineering, many quantum devices and frameworks can be developed easily and consistently. Its hardware-agnostic design ensures that it is independent of quantum hardware manufacturers and technical paradigms. An industry where hardware innovations are continually growing and diversifying need this intrinsic adaptability.

The SDK supports over 20 frameworks and 25 quantum devices, demonstrating its compatibility. Popular platforms include IBM Qiskit, Google Cirq, and Rigetti PyQuil. Its integration into the quantum software stack is shown by its wide range of low-level representations such Open QASM and QIR. This NSF award aims to improve the SDK's algorithm layer. This includes substantial support for complex quantum computing features. Parameterised circuits, which are essential to variationally quantum algorithms; batch processing, which improves NSF Gran of several quantum tasks; hybrid workloads, which smoothly blend classical and quantum computing resources; and full-scale HPC integration, which solves large-scale, computationally demanding problems. These advancements are needed to move quantum computing from theoretical research to practical, substantial, and real-world applications. An advanced graph-based transpolar is a significant technological development sponsored by this project. The quantum world uses this transpolar as a universal translator to smoothly shift between quantum program kinds. This method will standardise quantum program implementation across hardware platforms by providing a single runtime interface. This discovery immediately addresses fragmentation issues in the quantum software environment, simplifying quantum programmer development. This lets algorithmic design take precedence over hardware-specific optimisations. The NSF award emphasises formalised governance and community development as well as technological achievements. To ensure long-term, sustainable growth, the qBraid-SDK project is committed to strong community practices and transparent governance. This commitment includes welcoming more developers, scholars, and quantum enthusiasts to the open-source development process. This open-source, collaborative strategy is necessary to create a software architecture that can adapt to quantum computing innovations. Ryan Hill, qBraid's accomplished CTO, leads the initiative. Strategic partnerships with Oxford Quantum Circuits, QuEra, and Q-CTRL further the project. These major collaborations reflect industry recognition of qBraid's progressive vision and the predicted impact of its SDK on the quantum environment. These collaborations are necessary to combine expertise and ensure the SDK can meet the complex and changing needs of the international quantum community. Instead of just giving money, this NSF grant is a strategic investment in American leadership in quantum technology, which is growing rapidly. The qBraid-SDK initiative could help quantum computing's future by promoting strong, open-source software and sustainable, cooperative infrastructure. This hardware-agnostic method is like building a universal language translator in a world with many dialects, easing communication and accelerating creativity for all quantum revolution stakeholders.

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Self Assembled Monolayers SAMs cuts quantum circuit loss 80%

Monolayers self-assemble

Quantum Computing Innovation: Self-Assembled Monolayers Reduce Loss 80% and Maintain Coherence

Researchers improved superconducting quantum circuit stability and functionality by minimising native oxide buildup on aluminium and niobium surfaces. The use of molecular self-assembled monolayers (SAMs) to inhibit oxide regrowth, a common challenge in quantum hardware development, improves coherence and reduces energy loss. More durable, reliable, and scalable quantum computing devices are possible with these discoveries.

The vulnerability of superconducting quantum circuits to environmental factors, especially the growth of native oxide layers on metallic components like aluminium (Al) and niobium (Nb), has long hindered stable quantum coherence. These oxide layers are mostly responsible for two-level system (TLS) defects, which interact with electric fields, absorb microwave energy, and degrade computation-critical quantum states. TLS faults in amorphous materials, oxides, and superconductor interfaces cause unwanted relaxation and decoherence. Air connections cause over 80% of superconducting quantum device TLS losses.

Etching, encapsulation, plasma cleaning, and argon milling are traditional mitigating methods studied. TLS losses can be reduced by eliminating oxide, but halting their regrowth after ambient exposure is difficult. Oxide regrowth makes etch cleaning unsustainable. Encapsulation with more metal layers has been considered, but it has often been avoided due to concerns about producing new metal-superconductor interface defects.

Ultrathin magnesium (Mg) or ruthenium (Ru) capping films have been used to suppress tantalum (Ta) and niobium (Nb) oxide formation. Since uneven oxide development causes TLS vulnerabilities, boosting crystalline oxide production may help. Uncontrolled native oxide synthesis limits quantum gadget performance.

In response to this urgent challenge, recent studies have focused on molecular self-assembled monolayers (SAMs) as a unique and effective passivation approach. SAM-based coatings are noted for their great surface coverage, homogeneity, and stability. They have been extensively studied for changing semiconductor and metal corrosion resistance, work function, surface chemistry, and dielectric constant alteration. Their usage in quantum circuits is promising despite being new.

Submerging silicon substrates coated with Al or Nb in SAM solutions passivates newly manufactured Al and Nb thin films. The aluminium study used two types of SAMs: fluoro octyl triethoxy silane (PFOTS) and tetradecyl phosphonic acid (TDPA) because to their affinity for Al surfaces. Alkyl-phosphonate SAMs were successfully developed on thin films for niobium after oxide removal.

A variety of analytical approaches were utilised to validate SAM passivation for aluminium circuits:

XPS showed that SAMs bonded and aluminium oxide did not form. The surface oxide peak positions and intensity of SAM-treated samples were lower than untreated samples. SAMs inhibited water penetration and lowered oxide peak envelopes in treated samples by eliminating adsorbed water peaks. The oxide thickness of unmodified aluminium was reduced to 2.00 ± 0.30 nm for TDPA/Al and PFOTS/Al, based on XPS measurements. This shows that SAMs suppress oxide formation and mask the XPS signal. Stability After Ageing: After 15 days of ambient ageing, SAM-passivated aged samples showed only a modest rise in oxide thickness (0.30 nm for PFOTS and 0.23 nm for TDPA), demonstrating outstanding passivation stability. Unmodified aluminium, saturated with oxides, barely changed. The SAM's binding to the Al surface and its abrupt transition from hydrophilic to hydrophobic were confirmed by water contact angle measurements. PFOTS/Al and TDPA/Al films had contact angles of 119.6° and 124.7°, respectively, compared to 39.1° for unmodified Al films. Hydrophobicity prevents water penetration, reducing pollution and oxides. TDPA's longer 14-carbon hydrocarbon chain and phosphonic acid group's strong P–O–Al interactions helped it to achieve a higher contact angle and a denser, more ordered monolayer than PFOTS's 8-carbon fluorocarbon chain. X-ray EDS and SEM: These tests showed a significant drop in oxide content on treated surfaces and provided additional visual and elemental evidence that the SAM binds to the Al surface and reduces oxide formation. SAMs also work well in niobium-based superconducting circuits:

Researchers reduced loss at single-photon power levels in un-passivated resonators by over 80% using alkyl-phosphonate SAMs to limit oxide regrowth. SAM-passivated resonators maintained their circuitry after six days in air. Quality Improvements: SAMs consistently improved quality factors across resonators compared to oxide-etched ones. This was evident at millikelvin temperatures and single-photon excitation power. Using a two-component TLS model, researchers measured the unique TLS loss of SAMs, finding a precise value of around 5×10⁻⁷. This unknown value is crucial for circuit optimisation. Surface Characterisation: Ellipsometry confirmed a well-ordered molecular monolayer with a nanometre film thickness. Water contact angle measurements again showed a hydrophilic-to-hydrophilic surface transition, confirming monolayer formation and oxide regrowth resistance. These findings strongly suggest that SAM-based passivation can improve Al- and Nb-based superconducting quantum circuit performance and reduce microwave loss. To promote quantum coherence, SAMs use thin, stable organic molecules with known properties instead of native oxide development. Industrial-scale quantum circuit production is conceivable using SAM materials, especially in applications that need long-term device stability. This proposal solves a materials-based quantum hardware barrier, enabling large-scale, high-performance quantum computer systems.

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Self Testing Quantum Methods Boost Trust In Quantum Devices

Self-Checking Quantum

Advances in Quantum Self-Testing Aim for More Reliable Quantum Technologies

Researchers discovered unique self-testing quantum procedures that will change how quantum devices' essential features are confirmed, a key quantum information science achievement. These advances directly address a basic quantum technology problem: how to verify a device's “quantumness” and internal operations without relying on its construction or design. This device-independent (DI) strategy is vital for developing secure and dependable quantum applications like enhanced computing and cryptography by relying only on statistical data from experiments.

Conventional quantum verification methods

states and measurements often require device familiarity and confidence. This assumption is often unrealistic. Self-testing is a powerful method that allows measurements based purely on Bell nonlocality in device correlations and almost complete quantum state characterisation. Many self-testing methodologies for pure multipartite entangled states have experimental challenges as the number of subsystems or local dimensions rises. Certification of non-projective, composite, or mixed entangled states has received little attention. The current study addresses these crucial issues.

Constant Measurements for Complex Multipartite States The Polish Academy of Sciences Centre for Theoretical Physics houses Arturo Konderak, Wojciech Bruzda, and Remigiusz Augusiak. Their unique self-testing technology reduces experimental effort needed to validate complex quantum states. Their method is the first self-testing method for odd-dimensional multipartite quantum states that only requires a fixed number of simple binary (two-outcome) measurements from each observer.

This is a big simplification because past approaches required more complicated experimental settings as quantum systems got bigger. Self-testing multipartite Slater (or supersinglet) states requires only four two-outcome measurements per observer in the current method. Importantly, this measurement demand remains constant as the system expands in size and complexity, making it experimentally viable and allowing real-world verification of intricate entangled systems.

This advancement relies on the method's strength against test noise and faults. Self-testing systems must be reliable even in noisy conditions to turn theoretical quantum protocol into practical technology. The researchers simplified by generalising mathematical techniques instead of using inductive methods. A modified version of the technique for even-dimensional systems relies on a conjecture about the uniqueness of a given operator's highest eigenvalue for its formal proof.

Universal Scheme for Extremal Measurement and Any Quantum State

A universal scheme that can self-test (up to complex conjugation) arbitrary extremal measurements, including projective ones, and indirectly any quantum states, including mixed states, complements efficiency-focused work, according to Shubhayan Sarkar, Alexandre C. Orthey, Jr., and Remigiusz Augusiak of the Polish Academy of Sciences and Université libre de Bruxelles (ULB) Centre for Theoretical Physics. This study addresses the drawbacks of prior investigations that overlooked mixed entangled states or composite and non-projective measurements.

The universal system uses a basic star quantum network, which can be implemented with current technology. The plan comprises three main parts:

External Party Measurement and Source State Certification: The first step involves self-testing a two-qubit Bell states (maximally entangled states) produced by the sources and a two-dimensional topographically full set of Pauli measurements in the external parties' devices. The largest violation of a class of Bell inequalities when Eve, the central party, chooses an input with a probability of each consequence is examined. This greatest violation makes source states comparable to two-qubit maximally entangled states and external party observations comparable to reference measurements. After verifying the outside components (source states and measurements from external parties), the quantum network self-tests any extreme Positive-Operator Valued Measure (POVM) performed by Eve. This involves verifying that the correlations meet other criteria (Equation 10). The method can be used to any extremal measurement on any finite-dimensional Hilbert space by embedding it in an N-qubit Hilbert space. This gives a universal way to verify extremally generalised quantum network measurements. Finally, the scheme shows that the setup may self-test any quantum state, separable, mixed, or pure. Eve remotely prepares quantum states with external parties using her confirmed quantum observations on the maximally entangled states from the sources. Eve maps the required state to a pure state projective measurement. Eve generates and executes an extreme 3d-outcome POVM for mixed states, with specific outcomes resulting in the desired mixed state at the external parties' labs after post-processing.

The statistical independence of sources and other causality requirements in quantum networks are included in this universal design. This scheme's generality comes with a cost: complexity increases with measurement size and external party involvement. Its use in multiparty Post-Quantum Cryptography, resilience to experimental defects, and partially entangled states will be studied. Both studies received QuantERA II funding (VERIqTAS project).

To Trustworthy Quantum Technologies

Both efforts are complementary and pioneer device-independent quantum information processing. Safe and reliable quantum technology requires validating complex quantum features with few device assumptions. From the efficiency of constant measurements for particular state classes to the universal scheme's applicability for various quantum states and measurements, these developments bring the scientific community closer to creating and verifying sophisticated quantum devices with previously unheard-of confidence and usefulness.

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Infleqtion Quantum Receives $100 M for Quantum Research

Inflection Quantum

Infleqtion Quantum Series C Fundraiser Gets $100M

Infleqtion, which commercialises atom-based quantum devices, completed a $100 million Series C financing round. New, existing, and strategic investors supported the investment.

Leading investors include Glynn Capital, SAIC, S32, and Counterpoint Global (Morgan Stanley). The Wisconsin Alumni Research Foundation, Olive Ventures, Overmatch, S Ventures (SentinelOne), Breakthrough Victoria, Axial, Caruso Ventures, Cyfr Capital, Golden Vision Capital, Global Frontier, In-Q-Tel (IQT), LCP, Maverick, and NSSIF also back it. JP Morgan was Infleqtion's only placement agent.

With a $200 million client backlog and $30 million in revenue last year, Infleqtion plans to extend its atom-based quantum platforms and accelerate field-ready quantum device rollouts with the financing. This funding will help the company scale transformational technologies with strategic partners in its next phase of growth.

Atoms, the most promising path to scalable quantum advantage, underpin the company's technology. Infleqtion's systems are used worldwide by businesses and governments. Over three dozen government and private projects are underway to grow across North America, the UK, and Australia.

Infleqtion sells atom-based computing, sensing, and precision timing systems. The UK's National Quantum Computing Centre (NQCC) houses Sqale, a neutral atom-based quantum computer. In Japan's Quantum Moonshot program, the Science and Technology Agency (JST) selected Infleqtion as the single foreign  quantum computing partner. Using its Superstaq compiler and Nvidia's CUDA-Q platform, the company demonstrated a materials science advance that could lead to scalable, fault-tolerant quantum computing. Contextual Machine Learning (CML), a quantum-inspired AI system for high-value defence and biotech applications, was also introduced.

The sensing and precise timing industries know Infleqtion as a leader in quantum-enabled positioning, navigation, and timing. With precision advantages of over 100 times, their atomic clocks outperform traditional systems. The US Department of Defence and NASA have installed atomic clocks. Mission-critical innovation earned Infleqtion a $11 million DoD APFIT contract. Inertial navigation and quantum radio frequency transmission are also used in their sensor technologies.

Strategic collaborations are key to Infleqtion's strategy. A recent go-to-market agreement with SAIC aims to integrate Infleqtion's quantum sensing technologies into aerospace and defence applications. SAIC, a leading mission integrator for government, military, and intelligence agencies, integrates inertial sensing, quantum radio frequency communication, and atomic clocks. “We are thrilled to collaborate with Infleqtion to accelerate quantum sensing and computing for their national defence and government customers,” said SAIC CINO and Managing Director of Ventures Lauren Knausenberger.

After receiving money, Infleqtion CEO Matt Kinsella remarked, “We are harnessing the power of quantum to solve the world's most urgent and complex challenges.” He said the money lets them scale transformational technologies with go-to-market buddies and strategic partners who share their objective.

Quantum technology is becoming vital for national security and commercial competitiveness, according to Glynn Capital partner Charlie Friedland. “Infleqtion’s atom-based systems are deployable, scalable, and poised to deliver necessary quantum solutions for industries and governments,” he said, applauding its scientific depth and commercial execution. SAIC's Knausenberger said Infleqtion's discoveries support their goal of integrating cutting-edge technology into crucial operations to increase warfighters' safety, precision, and resilience.