Structural diagnostic reader for multi-chip quantum computing systems
Project description
Rozier Quantum — SystemReader v1.8.0
The Honest Layout
"I don't sell hourly labor. I sell the Vision that clears the fog." — Chris Rozier, CEO | Rozier Quantum LLC
Who Built This
My name is Chris Rozier. I'm a carpenter and layout lead from Fort Wayne, Indiana. I grew up bouncing between tents and shelter homes. I have a wife and two kids.
I started using AI in January 2025 to answer physics questions I'd been carrying for years. That led to a patent-pending quantum computing architecture. That led to this tool.
I have no computer science degree. I have no lab. I have no team. No customers yet.
What I have is 20 years of reading physical space — foundations, grades, radii, corridors — and the realization that quantum systems have the same structural problems that bad construction layout has. If the foundation isn't square, the roof never sits right. The same is true for qubit placement.
I built this tool to show that the insight is real. The code works. You can run it right now.
What This Tool Actually Is
SystemReader is a structural diagnostic tool for multi-chip quantum computing systems.
It reads a quantum circuit and a hardware topology, identifies structural mismatches between them, and produces a clinical diagnostic report — qubit health codes, corridor load maps, thermal risk zones, placement recommendations.
Think of it as an OBD2 scanner for quantum hardware. Plug it in before you commit to runtime. Read the codes. Fix the layout first.
What Has Been Verified — Honestly
Verified in simulation:
- 100,000 qubit structural scans complete in under 0.5 seconds on standard hardware
- The diagnostic pipeline catches placement stress, cross-chip overload, thermal concentration, and idle waste in synthetic circuits
- The placement optimizer reduces communication cost measurably against the unoptimized baseline in every test run
Derived from geometric and physical models:
- The 22.48x efficiency figure comes from D4 lattice geometry — 24 kissing neighbors as the theoretical maximum coherence gain, with a real-world reduction applied. Analytical projection, not yet confirmed on live hardware.
- The 58.8% waste factor is based on coherence alignment theory — phase-aligned systems lose less energy to resistive scatter and heat. Needs experimental confirmation on live hardware.
- Energy and ROI projections in impact reports are extrapolations from these models applied to industry-scale estimates. They represent what the architecture is designed to achieve. No customer has confirmed them yet.
Not yet verified:
- Live quantum hardware benchmarks
- Customer deployments
- Independent third-party validation
I am one person. I have been coding for a matter of weeks. I do not have a 50-person team. I am telling you this because I believe the work is real enough to stand on its own without pretending otherwise.
What I Am Looking For
If you are a quantum researcher, hardware engineer, or lab operator and you see something real here, I want to hear from you.
I am not looking for a check. I am looking for someone with hardware access who wants to find out if this holds up in the real world. I believe it does. I cannot prove it without the hardware.
The patent is pending. The architecture is documented. The code is open for inspection under Apache 2.0.
If you want to run this against a real circuit on real hardware and compare results, that is the conversation I want to have.
Install
pip install rozier-quantum
Quick Start
from qiskit import QuantumCircuit
from rozier import SystemReader, build_line_topology
# Build or load your circuit
qc = QuantumCircuit(20)
# ... add your gates ...
# Define your hardware topology
topology = build_line_topology(num_chips=4, qubits_per_chip=34)
# Read the structure
reader = SystemReader(topology, site_name="My Site")
print(reader.generate_report(qc))
Run the Demo
python -m rozier.demo
python -m rozier.demo --qubits 1000 --depth 5000 --chips 8
python -m rozier.demo --vendor ibm --export
The Creed
from rozier import print_masters_layout
print_masters_layout()
Diagnostic Codes
| Code | Name | What It Catches |
|---|---|---|
| Q-001 | Overloaded | Qubit carrying too many interactions |
| Q-002 | Decoherence Risk | Too many cross-chip interactions |
| Q-003 | Entanglement Isolation | Active qubit with no local support |
| Q-004 | Bottleneck Exposure | Qubit on a hot corridor link |
| Q-005 | Idle | Qubit with no interactions |
| Q-006 | Grid Stress | Estimated electrical waste |
| Q-007 | Bridge Overload | Cross-chip communication stress |
| Q-008 | Thermal Risk | Load concentration at peak qubit |
| Q-020 | Coherence Shadow | Ghost power from structural misalignment |
| Q-022 | Lattice Ballast | Distributed jitter stabilization |
Core Pipeline
SystemReader
└── PerceptionEngine reads circuit and topology structure
└── DiagnosisEngine projects stress, corridor load,
| concurrency pressure
└── QubitHealthScanner assigns health codes per qubit
└── PathMapper maps interaction paths and corridors
└── StablePlacementOptimizer community-aware placement
└── TradesmanTools physical layout logic and grade math
The Tradesman Module
The same spatial logic that holds a grade line within 1/8 inch over 50 feet applies to qubit placement density across chip boundaries. The math is identical.
from rozier import TradesmanTools
tools = TradesmanTools()
# Grade check on a radius arc
result = tools.radius_grade_check(
start_elev=100.7,
end_elev=100.0,
total_arc_length=50,
check_distance=25
)
# {'slope_per_ft': 0.014, 'target_elevation': 100.35,
# 'bust_detected': True}
# How many anchor points to hold the line
pins = tools.evaluate_pin_density(
total_distance=50,
total_drop=0.7
)
# {'pins_needed': 3, 'slope_per_ft': 0.014,
# 'tension_score': 0.029167, 'status': 'DIAMOND STABLE'}
Vendor Profiles
IBM, Google, IonQ, Rigetti, and Rozier baselines included. Terminology translates automatically per vendor.
from rozier import get_vendor_profile
profile = get_vendor_profile("ibm")
Topology Types
| Type | Description |
|---|---|
| line | Linear chain of chips |
| ring | Circular chain |
| star | Hub and spoke |
| fully_connected | All chips connected |
| mesh | Square grid |
Unknown topology types default to line with a clear notification. No hard errors.
Export Formats
from rozier import export_json, export_markdown
report = reader.prescribe(circuit)
export_json(report, "report.json", vendor="ibm")
export_markdown(report, "report.md", vendor="ibm")
PDF export available via pandoc.
Server Mode
pip install rozier-quantum[server]
uvicorn rozier.api_server:app --host 0.0.0.0 --port 8000
Endpoints: GET / GET /vendors POST /analyze POST /preflight
Security
Zero network calls. Air-gap compatible. Apache 2.0.
Contact
Chris Rozier, CEO Rozier Quantum LLC — Fort Wayne, Indiana
chris.rozier@rozierquantum.com rozierquantum.com github.com/catrozier08-gif/rozier-quantum
Patent pending.
"The Layout is always the answer."
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