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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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