Contract · Federal · No Set aside used
TECHNOLOGY LICENSING OPPORTUNITY: ChronoQuantum Fiber Timing Integrity Monitor
- Agency
- ENERGY, DEPARTMENT OF / ENERGY, DEPARTMENT OF
- Location
- Los Alamos, NM
- Amount
- Amount not listed
- Posted
- Jul 22, 2026
- Set-aside
- No Set aside used
- NAICS code
- 334516 look up NAICS codes
- PSC code
- AC12
Timeline
-
Posted
Jul 22, 2026
-
Status
Open now
What contracts like this typically pay
No award history yet for this category (NAICS 334516).
What this contract is for
- Agency
- ENERGY, DEPARTMENT OF / ENERGY, DEPARTMENT OF
- Location
- Los Alamos, NM
- Set-aside
- No Set aside used
- NAICS
- 334516
- Scope
- Federal
ChronoQuantum, from developers at Los Alamos National Laboratory, delivers an independent layer of timing assurance for fiber-linked infrastructure, using the physics of correlated photon pairs to verify what conventional synchronization telemetry cannot see on its own.
Operators of precision timing networks gain a trustworthy second observable that detects, classifies and localizes residual drift in real time; pinpoints whether the cause lies in endpoint electronics, the fiber path, optical filters or environmental conditions; and does all of this as an overlay that coexists with White Rabbit, PTP or fiducial timing systems already in the field.
With optional AI-enabled inference fusing temporal, spectral and spatial signatures, the platform converts fragile quantum measurements into actionable operational intelligence, supporting everything from monitor-only awareness to autonomous correction recommendations across two-node links, mesh networks and facility-scale deployments.
How it Works A source generates pairs of correlated or entangled photons and distributes one photon from each pair to each endpoint of a fiber link, sharing the same optical infrastructure as the timing network being monitored.
Single-photon detectors at every endpoint record exactly when each photon arrives, time-stamped against the local clock, and these arrival records are streamed to a processing layer that looks for coincidences, the moments when photon partners are detected together.
The shape, timing and quality of those coincidence patterns form a fingerprint of the link’s health.
A physics-based estimator combined with optional machine learning then interprets the fingerprint, reports residual timing error with calibrated uncertainty, classifies the likely cause and recommends whether the syst...
Official solicitation and documents
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