Q-LEO is designed to bring advanced quantum–AI computing into space. QxAMP connects observations with hybrid computation. Space C2 provides the context for quantum-enabled, AI-powered space domain awareness and research supporting spectrum superiority.
01 / THE SPACECRAFT
Compute at the orbital edge.
An experimental CubeSat architecture for advanced quantum–AI computing in space, connecting optical sensing, proposed onboard processing and communications. Explore the vehicle and its mission environment.
Quantum feature encoding, classical orchestration and hybrid algorithms meet in an editable research workbench. Follow the inputs, circuit choices and resulting probabilities.
Study quantum-enabled, AI-powered space domain awareness using public orbital geometry and simulated Q-LEO assets. Follow object context, payload assumptions and processing evidence together.
Compute in space. Understand the environment. Inform the decision.
Research toward spectrum superiority connects spectral characterization, signal understanding and informed use of the electromagnetic environment. Q-LEO brings that objective into a shared architecture for sensing, hybrid computation and space domain awareness.
Research objectives · The workbench demonstrates models and simulations. Orbital quantum processing and operational spectrum superiority remain objectives requiring validation.
THE Q-LEO PRODUCT ARCHITECTURE
One mission context. An expanding field of view.
From the first photon to an orbital decision, explore the spacecraft, the computation and the environment together.
MISSION DOMAINS / CONCEPT DIAGRAM
01 / LOW EARTH ORBIT
Compute where the observations begin.
Place the Q-LEO design constellation in the same scene as public orbital traffic. Select a spacecraft, inspect its optical payload and move directly into mission access, digital assembly or quantum processing.
500 kmDefault circular design study · editable 200–1,200 km
The R0.3 digital model connects payload, compute, power, thermal paths and deployment geometry. Open the spacecraft at component level, understand the allocation and run the existing analytical studies.
Select a subsystem: 01 Optical · 02 Compute · 03 Comms · 04 Power · 05 Thermal.
R0.3 / CONCEPTUAL LAYER DIAGRAM
01 / Optical payload
From a photon to a usable feature.
Optical collection, single-photon detection and event timing form the proposed sensing chain. QxAMP begins with the representation of those observations.
Receives
Optical signal and event timing
Produces
Features for encoding and analysis
Engineering focus
Detector calibration, pointing and available power
Know the configuration. Understand the assumptions.
The public summary describes the candidate digital architecture. Expand a topic for its scope, then continue into the protected engineering workspace.
01 / Configuration12U candidate digital model
The R0.3 spacecraft model is a design candidate within the broader 6U / 12U architecture. The conceptual layer view explains subsystem relationships; detailed geometry and allocation live in the engineering workspace.
The current digital model allocates four compute nodes. QxAMP provides 13 research modules and an editable circuit workbench. An allocation describes a design choice, not a qualified flight processor or a measured in-orbit quantum result.
Analytical studies explore selected assumptions and operating conditions. Flight qualification, radiation tolerance and an end-to-end orbital demonstration require separate evidence beyond a browser simulation.
Explore an educational Q-LEO-017 scenario. Change a synthetic feature and follow it through a reference circuit to an illustrative review record.
INTERACTIVE EXAMPLE Synthetic input · analytical circuit model
The value is dimensionless. It represents an example input, rather than a sensor measurement.
STUDY CONTEXTQ-LEO-017Optical-feature walkthrough
01 / OBSERVEQ-LEO → QxAMP → Space C2
Start with an explicit input.
A synthetic optical feature gives this study a small, reproducible starting point. The spacecraft identity stays attached as the value moves through the example.
DIMENSIONLESS FEATURE0.80
0.001.00
Input
Selected example feature
Output
A normalized value between zero and one
RESEARCH, WITH A WAY TO INSPECT IT
Follow the question. Examine the method.
From transparent reference circuits to mission-level engineering, each research path makes its inputs, assumptions and evidence accessible.
PUBLIC ANALYTICAL EXAMPLE
|00⟩20%
|11⟩80%
Make feature encoding inspectable.
Question How does one input change a reference quantum state?
Method Encode a synthetic value with a rotation and a controlled-X gate.
Evidence At x = 0.80, the exact model gives P(11) = 0.80. Reproduce the result and export its parameters.
From a research question to an engineering conversation.
Explore research collaboration, payload integration or a mission architecture study. Start with the objective, the available evidence and the questions the next experiment should answer.
