#aplquantum

After the UN named 2025 the International Year of Quantum Science and Technology, “quantum bridging” became the field's defining framework. This global event to celebrate modern quantum mechanics' 100th anniversary promotes quantum engineering. Research that seamlessly combines basic understanding with real-world application has flourished in APL Quantum (APQ), approaching its second anniversary.

Explanation to Deployment

Today, the field is divided into Quantum 1.0 and Quantum 2.0. Quantum 1.0 is when 1920s pioneers planted the seeds for quantum theory's groundbreaking understanding of nature. Quantum 2.0 makes superposition, entanglement, squeezing, and measurement back-action practical rather than theoretical.

This second quantum revolution is affecting sensing, metrology, secure communication, and scalable quantum computing. APL Quantum created “quantum bridging” (QB) to aid this shift. This project links foundational knowledge (Q1.0) to designed quantum functionality and systems-level deployment (Q2.0).

Explanation to Deployment

This bridging goal is shown by the journal's early record, especially its most cited publications as of January 2026, which include many foreign contributions.

Quantum Communication and Security: Integrating quantum communication into infrastructure is crucial. A fundamental Technische Universität München study revealed the best wavelength for daylight free-space quantum key distribution, providing system-level clarity needed to standardize experiments. Grambling State University found that post-quantum cryptography is problematic and that the quantum transition requires addressing risk, migration, and social trust.

Advancing the Computing Stack: Researchers are adapting quantum computing algorithms to hardware restrictions. The International Iberian Nanotechnology Laboratory advanced shallow unitary decompositions for quantum gates, which improve error reduction and connectivity-based compilation. The National Physical Laboratory (UK) introduced an Anderson impurity solution in 2025 that uses tensor network approaches with quantum computing to show the advantages of hybrid workflows that connect classical and quantum structures.

Hardware and Quantum Resources: Progress requires “ecosystem-elevating” measurement and readout equipment. A traveling-wave parametric amplifier from the Jet Propulsion Laboratory has near-quantum-limited noise over a wide microwave spectrum. Additionally, nonclassical light research has turned scientific curiosities like the bosonic Mpemba effect into instruments for dynamics and measurement.

Maintaining Ecosystem Rigor in Growth

The scientific community struggles to distinguish long-term advances from transient “noise” when the term “quantum” is used in public speech with varying degrees of accuracy. According to APL Quantum, the infrastructure requires open access, comprehensive peer review, and honest scientific communication. The journal is separated into “buckets”: Quantum Theory and Fundamentals, Quantum Phenomena and Resources, Applied Quantum Science, and Quantum Technologies to help scholars navigate these complex subfields.

This “quantum bridging” converts fundamental knowledge into designed functionality that fuels new research. Addressing important concerns like fault-tolerant architectures and the quantum internet requires device physics, algorithms, and verification standards.

The Way Forward

The goal remains to turn 2025 global interest into lasting engineering and science capabilities. Sustainability and energy pricing are emerging first-order limits that are increasingly important to performance discussion.

Trinity researchers unify magnetodielectric cavity dynamics, a quantum nanophotonics breakthrough.

Quantum Nanophotonics A theoretical breakthrough from Trinity College Dublin's School of Physics and CRANN Institute answers a significant quantum nanophotonics challenge. In APL Quantum, Lars Meschede, Daniel D. A. Clarke, and Ortwin Hess presented a unified theoretical framework for the quantization of electromagnetic resonances, or quasinormal modes (QNMs), in spatially inhomogeneous, dissipative, and dispersive magnetodielectric resonators.

Challenge of Lossy Nanostructures Nanoscale cavity quantum electrodynamics (cQED) designs have advanced faster than theoretical models. Traditional semiconductor quantum optics uses high-quality-factor dielectric microcavities to imitate “normal modes” with genuine frequencies and limitless lifetimes. Modern nanostructures, especially plasmonic and magnonic cavities, are fundamentally different.

Plasmonic resonators are valued for confining light to sub-wavelength scales to raise local electromagnetic fields exceeding the diffraction limit. Even single molecules can achieve room-temperature cQED. Spin-photon interfaces are created by collective microwave excitations of spins in ferrimagnetic structures in cavity magnonics, a new field.

They are “lossy” because to radiative leakage and material absorption (Ohmic dissipation). Non-Hermitian systems often fail standard quantization methods or use ad hoc protocols that are not field-theoretically justifiable.

Conquering Modal Divergence Lossy cavities' natural resonances, quasinormal modes (QNMs), have intricate eigenfrequencies, making math difficult. Light leakage from these “open” cavities causes the QNM fields to diverge dramatically at long distances. This discrepancy makes orthogonality, normalization, and completeness difficult to express.

Exterior complex coordinate transformations—equivalent to PMLs—fixed the issue for Trinity. These specialised layers enclosed the computer domain, transforming unlimited space into a confined domain. This method converts unphysical radiative losses into non-radiative material dissipation to strictly regularize modes inside and outside the resonator chamber.

A New Quantum Formalism The researchers used macroscopic quantum electrodynamics to quantify these regularized modes. Their method finds canonical field variables in complex dielectric and magnetic media.

The breakthrough relies on the concept of creation and annihilation operators, which generate modal Fock states. These states describe the excitations of “field-dressed matter”—a blend of material polaritonic excitations and the electromagnetic field.

Researchers found an effective Lindblad master equation. This equation controls the quantum dynamics of modes and their interactions with quantum emitters (QEs) such molecular spins and semiconductor quantum dots. By accounting for coherent and dissipative coupling, the master equation captures complex interference effects like Fano-like features that occur when multiple modes interact with a single emitter.

Results, Numerical Validation The researchers demonstrated their framework's predictive power using two rigorous numerical examples:

Scientists tested a nitrogen-vacancy center QE diamond resonator. Even with low cavity quality factors, the quantum quasinormal modes theory predicted the Purcell factor (the amplification of spontaneous emission) with good agreement with exact semi-classical models. The theory accurately represented the system's temporal Rabi oscillations in the strong coupling region, matching mQED computations. 3D Spherical Cavity: Applying the theory to a silicon sphere in a vacuum eliminated PML layer unphysical gain contributions. Modelling resonance shapes from Lorentzian peaks to Fano-like decay rate suppressions was successful. Making Quantum 2.0 Possible The consequences of this discovery go beyond “Quantum 2.0”. This rigorous and mathematically possible nanophotonic technology evaluation helps build near-field multipartite entanglement creation, ultrafast all-optical switching, and on-demand single-photon sources.

Discover how Type-II parametric down conversion obtains high-quality entangled photons from lossy systems for next-generation quantum networks.

Quantum Communication Building Blocks

Quantum technology, which is evolving rapidly, requires subatomic light creation and control. Entangled two-mode Gaussian states, the “building blocks” of sophisticated communication protocols and continuous variable quantum computing, are central to this project. Researchers at Paderborn University under Denis A. Kopylov, Torsten Meier, and Polina R. Sharapova presented a significant study in APL Quantum disclosing a more effective approach of collecting these important quantum resources from realistic, “lossy” situations.

Down Parametric Conversion

The team focused on type-II parametric down-conversion (PDC). A nonlinear optical technique produces “signal” and “idler” fields of entangled photons from a high-energy pump pulse and a waveguide. Photon pairs are more than simple particles because their complex, multimodal light structure allows high-speed quantum information processing.

Real-World Hardware Challenges

Real-world quantum hardware faces several hurdles, even though theoretical models assume optimal conditions. The Paderborn researchers found that multimode complexity and intrinsic waveguide losses limit modern quantum light sources.

Intrinsic losses from waveguide construction faults cause dispersion and “mixed” quantum states. The waveguide's dispersion and the laser pump's profile form a multimode structure that disperses light across many frequencies. To exploit this light, scientists must determine specific “mode shapes” for measurement. Choosing the wrong mode can eliminate non-classical properties, “washing out” the quantum advantage.

Squeezing Connection: A New Entanglement Measure Identifying the relationship between squeezing and entanglement in these systems is a major theoretical contribution of the study. Quantum “squeezing” occurs when noise in one variable (like momentum) increases while noise in another (like location) decreases below the vacuum level.

The researchers found that two-mode bipartite states (TMBS) recovered from type-II PDC have bipartite entanglement proportional to squeezing. Experimentalists need this reduction. By detecting the most entangled and “squeezed” light, they can find an optimisation target.

New Standard: The team developed the Maximally Squeezed (MSq) assumption to determine which modes to measure. This new approach was compared to two industry standards, the Williamson-Euler (WE) basis and the Mercer-Wolf (MW) basis, which are used because to their high photon counts.

The scientists used rigorous numerical simulations of waveguides with balanced and unbalanced losses to prove the MSq-basis's entanglement extraction advantage. In “unbalanced” losses, signal and idler modes attenuate differently, revealing the differences. Their simulations showed that the MSq-basis preserved entanglement, although the standard Mercer-Wolf basis may lose it.

Debunking the ‘More is Better’ Myth

Experimentalists may be most surprised by the researchers' "corollary" that maximising intensity does not maximise entanglement. Standard labs make it easy to adjust equipment for maximum photons. The study showed that the MSq-basis, which uses less photons but maintains higher “purity” and correlation, often yields less entanglement than the Mercer-Wolf basis, which uses the most photons.

The authors noted that “the intuitive experimental approach of maximising intensity would not result in a maximally entangled TMBS,” suggesting that labs may need to calibrate their quantum sources differently.

Quantum Protocol Futures

Research has far-reaching effects outside the lab. This work provides a “blueprint” for building complex quantum light in realistic, lossy installations, making these systems suitable for Quantum Key Distribution (QKD) and scalable quantum computing.

The authors noted that the MSq-basis may be easily adjusted to account for transmission and detection losses, making it a flexible tool for future quantum networks. This discovery, financed by the “Photonic Quantum Computing” (PhoQC) project, moves us closer to a time when quantum communication will be practical and dependable.

A Magic State Distillation

A Novel Quantum Algorithm Enables Measurement-Free Magic State Distillation for Fault-Tolerant Computing

A new Magic State Distillation (MSD) solution without measurements or non-deterministic post-selection could simplify fault-tolerant quantum computer construction. Sascha Heußen of neQxt in Cologne, Germany, published the findings in APL Quantum on December 8, 2025.

Fixing Quantum Computing Noise

For quantum computers to be fully functional, qubits need universal quantum gate operations. Modern electronics are often too loud, so Quantum Error Correction (QEC) is needed to minimise noise randomly. No QEC code can have a universal set of inherently fault-tolerant (FT) gates. Different FT gate designs, usually using MSD, are needed.

MSD, a standard quantum approach, can generate a fault-tolerant universal quantum gate operation on error-corrected logical qubits. To perform a high-fidelity logical non-Clifford gate, resource quantum states, or “magic states,” are sequentially increased in fidelity and used in a gate-teleportation circuit.

Traditional MSD approaches include operator measurements and post-selection based on outcomes. This traditional reliance makes distillation non-deterministic with noise. The difficulty of real-time feed-forward measurements hinders quantum technology's practical use.

Coherent Feedback Suppresses Deterministic Noise

This new work provides a circuit implementation for the 15-to-1 MSD approach that overcomes these limits. Instead of measurements and post-selection, the protocol suppresses noise deterministically using a Coherent Feedback Network (CFN) on output states.

The technique uses QEC code unitary encoding and decoding circuits. This code is chosen because it has a transversal logical T-gate, can detect two arbitrary Pauli faults (with a distance d=3), and can fix one. Distillation maps 15 noisy input magic states to one output magic state (k=1).

The remaining 14 output qubits carry syndrome data. The CFN coherently rectifies syndrome information using a look-up table decoder. Unlike traditional non-deterministic systems, the MSD's conclusion remains valid. The CFN addresses only output message qubit errors that spread via the unitary decoding circuit.

Performance and Trade-offs

Noise suppression decreases each round without measurements or post-selection. The typical 15-to-1 MSD approach (a Class A scheme) suppresses from {O}(p) to {O}(p^3) with post-selection, while the deterministic measurement-free technique reduces suppression to {O}(p^2).

For input error rates (p) ≤ 10^{-2}, numerical simulations confirm the expected scaling behaviour even at large error rates. Exponential error rate suppression was found with repeated procedure use. For instance, three rounds of measurement-free MSD can reduce magic states to a noise level of approximately 10^{-10}, with an initial error rate of p = 10^{-3}.

Effects of Future Quantum Hardware

Deterministic MSD has many benefits for quantum computer design and operation:

Since post-selection results do not require a non-deterministic waiting period, distillation length is specified. This allows magic state creation synchronised with logical clock cycles.

Simplified Routing: Eliminating failure and distillation method initialisation costs simplifies routing high-fidelity magic states in hardware.

Experimental Realisation: The coherent feedback network can be deployed faster and more consistently than measurement-based protocols, enabling MSD experiments in near-term devices.

High coherence achieved with new resonant tunnelling devices using tri-layer MoTe₂ quantum wells: a quantum leap in 2D electronics.

Resonant Tunneling Devices

Successful wafer-scale creation and characterisation of a high-quality, ultra-thin tri-layer Molybdenum Ditelluride (2H-MoTe₂) quantum well structure and Tungsten Diselenide (WSe₂) carrier reservoir enabled a robust RTD. This work in APL Quantum suggests a viable path for 2D-material-based quantum devices for high-frequency operations, THz emitters, and future quantum processing applications at extremely low temperatures.

Resonant tunnelling processes are sought after for quantum computing's high-speed memory, qubit generation, quantum cascade lasers, and THz emitters. Due to its sensitivity to minute shape and composition changes, developing reliable, reproducible quantum structures (QSs) remains a challenge. It addresses these difficulties with precise materials engineering and fabrication.

Advanced Device and Fabrication Architecture

A vertical device structure was built using a double barrier RT structure of n-WSe₂/HfO₂/MoTe₂/HfO₂/Au. The device utilises tri-layer MoTe₂ for resonant tunnelling and bulk WSe₂ as the source reservoir.

By seleniuming a thin sputtered W-film on a SiO₂/Si substrate at 650°C using Chemical Vapour Deposition, WSe₂ was produced. The HR-TEM, XRD, and XPS characterisation confirmed that WSe₂ maintained its integrity and crystallinity during growth. These experiments confirmed the material's n-type doping with a 0.935 eV energy gap between the valence band and Fermi level.

Electron beam evaporation created the initial 10 nm HfO₂ insulating layer. HfO₂ was chosen as the tunnel barrier due to its decreased electron effective mass and enhanced tunnelling probability.

Tri-layer (3L) MoTe₂ quantum wells were created using MBE on the HfO₂/WSe₂ heterostructure, with a thickness of approximately 2.5 nm. MoTe₂ occurs in a semi-metallic (1T′) state, therefore the growth was enhanced to form the 2H-MoTe₂ semiconducting phase. Limiting growth to 27 minutes per layer and maximising Te:Mo flux ratio to 11 were crucial.

Reflection RHEED confirmed in situ multilayer formation and crystallinity. MoTe₂ (ΔEFV​ = 0.42 eV) confirms its intrinsic nature and appropriateness for resonant tunnelling applications through XPS examination of the final films, revealing no oxidisation. Both WSe₂ and MoTe₂ achieved nearly perfect stoichiometry (1:1.99 and 1:2.05, respectively), confirming the development of the 2H semiconducting phase.

Finally, a second 10 nm HfO₂ layer was applied to the double barrier structure, followed by Ti:Au metal contacts. Seven of nearly ten devices had satisfactory functionality and clear Negative Differential Resistance (NDR).

Resonant Tunnelling and Cryogenic Transport

Cryogenic temperatures (below 100 K) were chosen for electrical characterisation due to MoTe₂'s high mass density and phonon-dominated medium. A negative differential resistance (NDR) region showed resonant tunnelling.

The Peak-to-Valley Ratio (PVR), which measures resonant tunnelling sharpness, was 4.16 at 40 K and 4 K. Results for electron tunnelling in WSe₂ junctions match this PVR of ~4 at 4 K. Research showed that the NDR region increased and the PVR rose when the temperature dropped to 4 K. The detected PVR is due to electron tunnelling due to the intrinsic MoTe₂ medium and n-type WSe₂ reservoir. The transport parameters were linear in the 60–300 K range, suggesting that resonant tunnelling effects decrease at higher temperatures.

Decoherence Analysis using Theories

Complementary quantum transport modelling using the Non-Equilibrium Green's Function (NEGF) formalism was done to explain transport in quantum nanostructures. The NEGF technique is interesting for modelling non-equilibrium charge transport in quantum devices connected to reservoirs since it can encompass all statistical and phase-breaking processes through proper self-energy matrices.

The NEGF model highlighted the importance of phonon-induced decoherence. MoTe₂'s high mass density (7.78 g/cm³) makes electron-phonon scattering a significant performance concern. The model's second quantised Hamiltonian explicitly incorporated electron-phonon coupling and contact reservoir interaction factors.

Local Density of States (LDOS) showed that the quantum well's energy eigenstates differed between 4 K and 40 K. At higher temperatures, this separability diminishes. The reservoir and tunnelling medium lose state distinction due to phonon-induced intra-subband transition (IST) increases, which destroys their coherent nature.

Using deformation potentials (3.5-8 eV for MoTe₂), theoretical models showed an exponential decrease in PVR with rising temperature, supporting experimental findings. In addition to revealing phonon-induced decoherence, quantum transport modelling reveals how quantum well width (beyond ~0.7 nm excitonic Bohr radius) regulates resonant tunnelling behaviour.

Future implications for quantum technologies Using robust transverse resonant tunnelling conductance spectroscopy, 2H-MoTe₂ shows potential for quantum sensing and metrology applications.

The discovery that phonons produce 2D quantum decoherence is the most significant result. This restriction must be overcome to improve quantum technologies.

Researchers suggest using MoTe₂ to build 2D-material-based quantum processors. High Coherence in New Resonant Tunnelling Devices Using Tri-Layer MoTe₂ Quantum Wells: Quantum Leaps in 2D Electronics could connect qubits coherently without phase loss. Changing basic device parameters, like reducing HfO₂ barrier thickness or adopting lower electron affinity dielectric materials like SiO₂ or AlO₃, can improve future device performance by increasing carrier quantisation. Cascaded MoTe₂ quantum well designs may enhance the application potential of these devices by providing a new way to stimulated THz laser sources.

Future Cryogenic Quantum Computing: A Comprehensive Scaling Solution Overview

APL Quantum reviews cutting-edge technologies needed to overcome hardware constraints and create classical interfaces to manage and control the next generation of large-scale cryogenic quantum computers.

Quantum processors could revolutionise computing like semiconductors did. Researchers and industry leaders face significant challenges in scaling up systems beyond the noisy intermediate-scale quantum (NISQ) era, where quantum computers are limited to hundreds of qubits controlled by large, noisy, room-temperature electronics. The development of classical technology to interface with quantum systems is important.

The article discusses cryogenic quantum systems, a leading quantum computer architecture. Dilution refrigerators are used to achieve millikelvin (mK) temperatures for these systems.

Limitations of Conventional Systems

Scaling quantum computers is essential for IBM's 100,000-qubit system. To scale, quantum decoherence, qubit quality, robust error correction, and hardware scalability must be addressed.

Standard designs place readout and control electronics several meters from mK-temperature qubits at ambient temperature. Due to its unmanageable size and power consumption, the standard microwave technique, which expands control and readout lines proportionally to qubits, is unsustainable.

Technology in the cryostat is limited by cooling power. At 20 mK, a high-powered cooling system can only deliver 30 μW of cooling power, limiting the size and power dissipation of internal classical interfaces.

Next Generation Cryogenic Quantum Computing Interfaces

The review covers several intriguing heat load, latency, and connectivity technologies:

CMOS Cryotech

This technology moves control and readout circuitry to cryogenic temperatures, usually 4 K or mK, to revolutionise quantum computing.

Moving electronics reduce signal delay, enabling quantum feedback and mistake correction.

FDSOI and bulk CMOS are the main technologies. Advanced FDSOI reduces cryogenic power consumption and leakage currents.

Problems: Google, Intel, and IBM have tried to combine cryo-CMOS control systems, but control lines must grow linearly with qubits. Qubit operation may be disturbed if heat dissipation surpasses cryostat cooling. Two to thirty mW is estimated for each physical qubit.

Single-Flux Quantum Logic

SFQ technology processes classical data using digital, superconducting Josephson junctions and magnetic flux quantisation.

Control: A series of coherent SFQ pulses activates qubits, with pulse spacing corresponding to qubit period. High anticipated fidelity (>99.99%). Scalability: SFQ controllers at the mK level eliminate most wires between the controller and qubit chip. Recent research shows that digital demultiplexing can save space and heat.

Due to its power efficiency, SFQ logic may be better for large-scale computing than CMOS. Power consumption per physical qubit is expected to be less than 1 nW. Using Cryo CMOS for Quantum Computing Scales Spin Qubits

Readout/Optical Control

By using optical fibres to convey messages, electro-optical systems reduce cryostat heat dissipation from coaxial cable.

Electro-optical modulators (EOMs) encode electrical signals onto optics. At cryogenic temperatures, photodiodes detect electrical signals.

Full qubit reading with radio-over-fiber down to mK temperatures eliminates the need for active or passive cryogenic microwave equipment.

Efficiency: Optic fibres replace coaxial driving and readout wires in optical communications. The main cause of energy loss is optical-RF conversion. Different conversion directions result in power dissipation ranging from <10 nW (Optical-RF) to <10μW (RF-Optical) per qubit.

Wireless readout/control

Wireless connectivity replaces cable connections in the QC system in this new research.

Wireless communication may reduce cryostat sizes by keeping big, complex circuits at ambient temperature. Signals travel 33% faster through refrigerator coils than coaxial connections, reducing latency.

Wireless communication supports hundreds of channels by bypassing refrigerator size qubit upscaling. Because they only have passive features like antennae and matching circuits, mK transceivers consume less power.

Efficiency: Wireless technology requires less than 1 nW per qubit, making it very efficient. THz cryo-CMOS backscatter transceivers reduce thermal heat in cryogenic environments through contactless connection.

Wireless connections reduce driving and readout wires, however flux lines may be needed for qubit tuning DC signals. Researchers must also address channel interference, uncertain signal propagation, and mK transceivers.

Future Perspective

APL Quantum According to Johns Hopkins Applied Physics Laboratory (APL) researchers, a new quantum technique can speed up semantic text similarity analysis, a computationally complex process important to modern information processing and intelligence collecting. The APL team in Laurel, Maryland, invented this technology, which could revolutionise how intelligence analysts analyse massive amounts of open-source textual data, including social media platform material, to identify new patterns and threats.

Data Flood and Classical Computing's Struggle

The exponential growth of open-source text data threatens conventional computers and machine learning approaches. Traditional text analysis methods are difficult to use and inappropriate for present data volume and complexity, despite their popularity. It is important to uncover meaning and correlations in enormous amounts of text rather than just keywords for activities like tracking and attributing online topics and narratives, which can help analysts spot signals of prospective terrorist activity.

The number of open-source text data available online, especially on social media, is fast expanding, and capacity to analyse it has not kept up with capabilities to collect it, said Roxy Holden, an APL mathematician and the effort's primary scientist. Automated analysis is needed to reduce intelligence analysts' burden and provide timely findings.

“Random walks” are a promising but computationally intensive classical approach. This mathematical method graphs text with words as nodes and linkages representing semantic proximity. Walk through this graph to identify similar phrases. Due to the processing requirements of traversing such massive graphs, which may contain hundreds of thousands of words, this method is not suitable for typical computing architectures.

The Power of Quantum Random Walks To overcome these limitations, the APL team developed a quantum method to random walks using quantum physics. Quantum random walks, a quantum version of random walks, are their key innovation. This method uses quantum physics' superposition principle to let a qubit be in several states. Roxy Holden's “the coin-flipping analogy” outlines how a quantum algorithm allows a coin flip to provide both heads and tails, allowing you to explore alternative paths. Compared to classical random walks, which are sequential, the quantum algorithm's intrinsic parallelism allows it to study multiple computational paths inside the semantic graph, potentially speeding up processing exponentially. Project technical lead Jake Doody compared the process to a larger word association game where semantic correlations can be found by examining “word clouds” for each keyword. Random walks in semantic text similarity have been tested on WordNet, a large English word database.

Generalisable Graph Construction Framework

According to a recent IEEE magazine, the APL team's graph building method is crucial. The researchers emphasise that a robust and precise representation of semantic linkages is essential to the quantum random walk algorithm's effectiveness during graph creation. David Zaret said, “We discovered that the outcomes rely on the initial configuration of the graph, which is necessary to define a quantum random walk at all.” teammate of APL. Their decomposition technique provides a generalisable graph configuration framework that can be used in more than just information operations for quantum algorithm development and graph-based data analysis. This methodological contribution guides future researchers and is as valuable as the algorithmic advancement.

Significant National Security Implications

This research has national security implications, especially as information operations and intelligence analysis expand. With the exponential growth of open-source textual data, semantic text similarity analysis's speedup removes a major processing barrier, especially for discovering novel narratives that may indicate pre-operational planning or hostile behaviour. The APL team solves the Laboratory's National Security Technology Division's problems using automated, scalable analysis. In counterterrorism, where early radicalisation pathway detection and threat identification heavily rely on online communications analysis, the ability to spot subtle relationships and patterns in textual data that conventional techniques may miss is crucial. The APL team's study, financed by internal Laboratory research and development programs, reveals how quantum algorithms could improve intelligence collecting and processing and create a proactive approach to threat identification. Limitations and Prospects