Maxor Quantum
Plan quantum compute before it leaves the ground.
Maxor Quantum is a line of tools for orbital quantum compute — a decoherence simulator, a QPU orchestrator, and orbital-environment models. It models the space environment a quantum processor would fly in, simulates the decoherence budget that environment leaves you, and orchestrates jobs that treat a QPU as an accelerator. It's research-stage and honest about it — the simulator is real and runs today ; orchestrating live orbital hardware is where it's headed. Built in Python, deterministic, and sovereign by default.
3
Named tools in one orbital-quantum line
Orbit-aware
Decoherence modelled per orbit & environment
Deterministic
Same scenario, same simulated budget
Cloud → Air-gap
Runs where your research lives
A flight plan for qubits.
Orbit is an interesting place to run a quantum processor — cold, near-vacuum, microgravity — but it's also a hostile one: radiation, thermal swings, and magnetic fields all eat coherence. Before anyone flies a QPU, they need to know whether their algorithm even fits the coherence budget the orbit leaves them. Maxor Quantum answers that on the ground first : model the orbit and its environment, simulate the decoherence it imposes, and see whether the circuit survives — deterministically, so the same scenario always returns the same budget.
Three tools, one orbital-quantum stack.
Maxor Quantum isn't a single product — it's a small line of composable tools. Use them together as a pipeline, or pull in just the one you need.
Simulator
Decoherence Simulator
Turns an orbit and its environment into a coherence budget — T₁ / T₂ under radiation, thermal, and magnetic load — and tests whether a circuit fits.
Scheduler
QPU Orchestrator
Dispatches circuits to a QPU like any accelerator — jobs, resources, queueing. Targets simulators now, real orbital hardware as it matures.
Models
Orbital Environment Models
Orbit, payload, and space-environment models — LEO to GEO — that give every simulation a real physical context, not an idealized vacuum.
Real physics, simulated on the ground.
The same equations that govern a qubit in orbit drive the simulator — coherent state evolution, the Lindblad master equation for decoherence, and a scheduler that dispatches circuits to a QPU like any accelerator. Illustrative, but the math is real.
circuit · entangling ansatz
|Φ⁺⟩ = (|00⟩ + |11⟩)/√2qubit state
decoherence budget
QPU orchestrator
Model. Simulate. Orchestrate.
Describe the mission, get a coherence budget, then schedule the work against it.
01 — Model the orbit
Define the orbit, the payload, and the space environment — radiation, thermal, magnetic. The stack builds the physical context a quantum processor would actually fly in.
02 — Simulate the budget
The decoherence simulator turns that environment into a coherence budget — how much T₁ / T₂ you have to work with, and whether a given circuit fits inside it.
03 — Orchestrate the QPU
The orchestrator schedules jobs that treat the QPU as an accelerator — resources, queueing, dispatch. Targets simulators today ; real orbital hardware as it matures.
Honest tools for an unbuilt frontier.
You can't fly your way to the answer. Maxor Quantum is the ground software that de-risks the question first — orbit-aware, deterministic, and open.
Orbit-aware decoherence
Coherence isn't a fixed number — it depends on where and how you fly. The simulator ties the decoherence budget to the actual orbit and environment, not a datasheet figure.
QPU as an accelerator
A quantum processor isn't a whole computer — it's an accelerator you dispatch work to. The orchestrator treats it that way : jobs, resources, scheduling, the way you'd drive any accelerator.
Deterministic & open
A simulation you can't reproduce isn't evidence. Same scenario, same budget, every run — built in Python, scriptable, and auditable rather than a black box.
Two pillars, built in the open.
The simulator is concrete and runs today ; the orchestrator grows toward live hardware.
Decoherence budget simulator
Turn an orbit and its environment into a coherence budget — T₁ / T₂ under radiation, thermal, and magnetic load — and test whether a circuit fits before you commit.
Orbital environment model
Orbit, payload, and space-environment models give the simulation a real physical context — LEO to GEO, not an idealized vacuum.
QPU-as-accelerator orchestrator
A job scheduler for quantum work : resources, queueing, and dispatch — built to target simulators now and real QPUs as they fly.
Algorithm-fit checks
Bring a circuit — a VQE run, for instance — and see whether it survives the budget. Ships with a worked example you can adapt.
Deterministic & scriptable
Pure Python, reproducible results, CLIs for the simulator and orchestrator — drop it into the research pipeline you already run.
Sovereign by default
Run it in the cloud, on your own hardware, or fully air-gapped — sensitive mission and algorithm work never has to leave your perimeter.
De-risk the mission on the ground.
Maxor Quantum is a research and planning tool — the questions you answer before anything flies.
Feasibility studies
Is orbital quantum compute worth it for this problem? Model it and find out before committing a budget.
Mission & orbit fit
Which orbit leaves enough coherence for the algorithm you care about? Compare regimes against the same circuit.
Algorithm-to-budget fit
Does the circuit survive the decoherence budget — and where does it break? Find the limit before flight.
Shielding & payload trade-offs
Trade shielding, thermal design, and orbit against the coherence you get back — on the ground, in software.
QPU job planning
Plan how work is queued and dispatched to a QPU accelerator, so the orchestration is ready when the hardware is.
Research & teaching
A reproducible, open stack for studying decoherence and orbital quantum compute — adaptable to your own models.
On your cluster, or entirely inside your perimeter.
Start in the cloud ; bring it in-house when your security review — or your mission classification — demands it.
Cloud
Fully managed on Canadian-resident infrastructure — the fastest way to start simulating, nothing to provision.
Self-hosted
Run the stack inside your own environment — your cluster, your data, your control plane. Mission models never leave your network.
Air-gapped
Fully disconnected for classified or sensitive work. No telemetry, no phone-home — the simulation runs where the data lives.
Quantum and space research, first.
Anyone weighing whether quantum compute belongs in orbit — and what it would take to make it work.
One deterministic philosophy, across the suite.
Maxor Quantum shares the Maxor posture : deterministic simulation over hand-waving, verifiable over trust-us, sovereign-deployable by default. It runs on the same compute substrate — Heisen — behind every Maxor surface.
Explore the Maxor suiteStatus
🟡 Foundation
Deployment
Cloud · Self-hosted · Air-gap
Owner
Maxor Global LLC
Ask the orbit question before you fly.
Tell us the algorithm and the mission you're weighing. A senior lead responds within one business day — and we'll be candid about what's simulated today versus where this is headed.