Post-Digital Primers

Beyond conventional
computing and networking.

Primers for post-digital technology domains, from neuromorphic and quantum systems to advanced photonics, computational memory, sensing and physical or biological mechanisms. The scope includes standalone processors, specialist accelerators, distributed quantum infrastructure and functions embedded in radio, switching and other network ASICs. The primers distinguish credible uses from loose analogies and premature claims.

Current / near-term potential

Already relevant to selected products, operational decisions or migration programmes, although adoption remains uneven.

Neuromorphic edge sensingSpintronic memoryQuantum-safe migrationOptical interconnect
Mid-term hybrids, longer-term disruptors

Likely to appear alongside conventional digital systems, with software and operational layers hiding much of the underlying complexity.

Neuromorphic computingQuantum optimisationSpintronic computePhotonic computeIn-memory compute
Further-future systems

Early mechanisms and research directions for monitoring and scenario work, not near-term planning assumptions.

Quantum networksQuantum sensing and PNTMagnonicsPhysical reservoirsBiological computingOther emerging domains

Explore the main post-digital domains.

01

Quantum computing and optimisation

MaturityEarly commercial trials

Quantum processors are best understood as specialist solvers used inside conventional software workflows. The practical question is whether a complete hybrid system can beat mature optimisation software on a valuable, real-world problem. More →

HorizonUseful niches now–5 years; fault-tolerant systems laterPostureTest the complete workflow, not the qubit headline
02

Quantum communications and quantum-safe security

MaturityPQC deployment; QKD trials; networking research

Post-quantum cryptography and quantum key distribution solve different security problems and require very different infrastructure. PQC is already a mobile-network migration issue and part of the intended 6G security baseline; broader quantum networks and quantum sensing sit in separate domains. More →

HorizonNow to 15+ years, depending on layerPostureSeparate three technologies routinely blurred together
11

Quantum networks

MaturityLimited point-to-point links and research networks

Quantum networks connect computers, sensors and other quantum nodes. The useful question is not simply how far a photon travelled, but which application the network supports and whether fidelity, timing, rate, switching, endpoints and operating economics work together. More →

HorizonSelected links now; broader applications 5–10+ yearsPostureStart with the application, then test the complete network
03

Neuromorphic and event-driven computing

MaturityDeveloper systems and application pilots

Neuromorphic systems borrow ideas such as sparse events, local memory and asynchronous processing from nervous systems. Their strongest opportunities are always-on sensing and fast local decisions where conventional, frame-based AI moves too much data. More →

Horizon1–7 yearsPostureBenchmark the sensor-to-decision path
04

Advanced photonics and optical acceleration

MaturityInterconnect commercial; compute prototypes

AI and cloud now drive much of the photonics agenda. This primer looks beyond conventional optical transport towards advanced interconnect, switching, sensing and hybrid acceleration, and asks where telcos still have defensible roles. More →

HorizonNow–10 yearsPostureCount lasers, conversion, memory and control
05

In-memory and analog computing

MaturityPrototype chips and early accelerators

Computing in or near memory reduces the costly movement of data between processors and storage. Analog and mixed-signal designs can be efficient, but precision, endurance, variability and software support determine whether device-level gains survive in a system. More →

Horizon2–8 yearsPostureCompare complete systems at required accuracy
06

Spintronics

MaturityComponents and laboratory systems

Spintronics uses electron spin and magnetic states for memory, sensing and computation. MRAM and magnetic sensors are already recognisable, while spin-based neurons, adaptive devices and specialist oscillators remain much less mature. More →

Horizon4–12+ yearsPostureFollow integration and manufacturability
07

Reservoir, physical and ionic computing

MaturityLaboratory demonstrations

Reservoir, ionic, mechanical and fluidic systems use the dynamics of matter itself to transform information. They may fit sensing and time-series tasks where the input is already physical or chemical, although most examples remain laboratory systems. More →

Horizon5–15+ yearsPostureLook for a native sensing advantage
08

Biological and DNA computing

MaturityExperimental platforms and frameworks

Living cells, neural cultures, organoids and DNA-based processes can sense, store or transform information. Nearer-term value is more likely in biological sensing, research tools and biology-inspired software than in general-purpose biological computers. More →

HorizonSoftware inspiration now; biological systems 10–20+ yearsPostureTreat interfaces and provenance as part of the computer
09

Other and emerging domains

MaturityConcepts to laboratory prototypes

Probabilistic, thermodynamic, reversible and other unconventional architectures do not yet form one stable category. This primer tracks distinct mechanisms that have credible evidence but are too early, sparse or cross-disciplinary for a permanent category of their own. More →

Horizon3–15+ yearsPostureAdmit by mechanism; graduate by evidence
10

Quantum sensing, timing and positioning

MaturitySpecialist products and field trials

Quantum clocks, inertial sensors and atom-based RF probes may improve timing, resilient navigation and measurement. They form a separate domain from quantum communications and from conventional 5G or 6G ISAC. More →

HorizonNow–10+ years, depending on sensorPostureStart with the measurement and deployment environment

Different timelines need different tests.

Nearer-term systems should be judged on integration, reliability and full-system economics. Hybrid-transition technologies need credible workload comparisons and usable tools. Further-future approaches first need repeatable mechanisms, independent evidence and a plausible route out of the laboratory.