QKD (Quantum Key Distribution)

last updated 2026-08-31 · +10 sources in last 30d
Assessment draft · unreviewed
Viability
4/5
Drivers
2/5
Novelty
3/5
Diffusion
2/5
Impact
3/5

Timing Soon (2-5yr) · Read Overrated

Quantum key distribution uses single photons or weak optical signals to let two parties agree a shared secret key whose security rests on physics rather than computational hardness, and the 2026 literature shows the hardware is now rack-mountable and field-stable while the security proofs are still catching up with real devices.

Summary

QKD is a protocol family, not a single device. Alice encodes random bits in properties of very weak light (polarisation, time bins, phase, or the quadratures of a laser field), Bob measures them, and the two then run a classical exchange over an authenticated public channel to sift, error-correct and privacy-amplify what remains into a shared key. Any eavesdropper measuring the quantum signal disturbs it, which shows up as excess error or noise, so the parties can bound how much an adversary could know and hash the key down until that knowledge is negligible. The output is key material, typically consumed by symmetric encryption or, in the limit, a one-time pad.

Two hardware families dominate. Discrete-variable (DV) systems use single-photon detectors and decoy-state BB84 with attenuated lasers; continuous-variable (CV) systems use coherent or squeezed states with homodyne detection and reuse standard telecom optics. Variants proliferate: entanglement-based schemes such as BBM92 and E91, measurement-device-independent and twin-field protocols, mode-pairing protocols that beat the repeaterless rate-loss bound without global phase locking, and high-dimensional encodings using orbital angular momentum to raise bits per photon.

The parameters that decide QKD are channel loss, background noise, clock rate and the fidelity of the device model. Loss sets reach: metropolitan fibre links of tens of kilometres sit at roughly 10 dB, free-space CV work is being pushed to 23.5 dB, and geostationary satellite downlinks are an extreme-loss, high-background regime. Rate is chased by raising the repetition rate, which is exactly what creates the practical security problems: pulses at GHz clocks correlate with their neighbours and leak encoding settings, breaking a founding assumption of the decoy-state method.

The decisive variable is therefore not physics but characterisation. The security is information-theoretic only relative to a model of the boxes; when the boxes deviate, the proof does not apply. Much of the current work is closing that gap, either with numerical finite-key frameworks that admit non-IID signals and partially characterised hardware or by finding the next side channel in deployed components.

Evidence base

Open questions


Assessment drafted 2026-08-31 from up to 18 KB sources using the technology-scorecard framework; scores are a draft read pending review.

Frontier questions