The FZX Engine
Quantum/Photonic, Physics-First, Optical-Aware Physics Simulation & Video Generation For The Next Era Of Research, Education & Cinematic A.I.
Revolutionary Video Generation Technology
The FZX Engine represents a paradigm shift in AI video generation, delivering physically accurate human motion and ultra-low-power optical rendering in a single, vendor-neutral platform.

Unlike traditional video generators that prioritize visual appeal over physical accuracy, FZX ensures every jump, fall, fight, and parkour sequence obeys the fundamental laws of physics.
Developed by PhotoniQ Labs, this hybrid engine combines high-fidelity dynamics with light-based generative rendering to produce cinematic, physically plausible footage at a fraction of the energy cost of conventional systems.

Status: Prototype v0.3 • Investor/Partner Ready • CUDA-free • Vendor-neutral
The Problem We're Solving
Physics Violations
Modern video generators produce visually appealing content but consistently break fundamental physics laws during complex movements like jumps, falls, fights, and parkour sequences.
Energy Consumption
Current AI video generation systems consume massive amounts of power, making them unsustainable for large-scale production and real-time applications.
Vendor Lock-in
Studios and simulation labs face restrictive vendor dependencies, limiting flexibility and increasing costs while reducing interoperability across platforms.

Studios, simulation laboratories, and real-time platforms desperately need accurate motion representation and scalable energy usage without the constraints of vendor lock-in.

The FZX Engine addresses these critical gaps in the market.

Core Technology Architecture
01
FZX Physics Core
Delivers realistic body mechanics including inertia, momentum, and contact dynamics.

Handles diverse materials from hard and brittle surfaces to cloth and fluids, plus destruction, debris, and wound simulation.
02
Generative Core (Hybrid)
Features an optical path as default: digital encoder → SLM → laser → SLM decode → image "in light" for ultra-low power consumption, with digital fallback when optics unavailable.
03
Scene Backbone
Built on OpenUSD + Hydra for seamless authoring, interchange, and plug-in rendering capabilities, with integrated C2PA provenance tracking.
04
Energy Orchestrator (AAE)
Intelligently schedules power budgets, chooses optimal optical vs digital rendering per shot/segment, and accounts for network fabric energy consumption.
Technical Implementation
Languages & IR
The FZX DSL is parsed to FZX IR and emitted as textual MLIR, with backends targeting CPUs/GPUs (ROCm, SYCL, Vulkan compute, Metal) and optical hardware.

Key Dialects
  • physics.* — rigid/soft dynamics, constraints, contacts
  • render.* — optical-first with digital fallback
  • em.* — Electromagnetics kernel toggle
  • net.* — vendor-neutral fabric configuration
  • qubit.* — optional quantum computing hooks
Interchange & Rendering
OpenUSD scenes feed FZX through a Hydra Scene Delegate that streams transforms back, while a Hydra Render Delegate outputs SLM phase maps (optical) or pixels (digital).
Competitive Advantages
Trustworthy Physics
Motion strictly obeys conservation laws, ensuring long-jump, fall, fight, and parkour sequences look and feel authentically correct with proper momentum and energy transfer.
Energy-First Design
Optical rendering path targets order-of-magnitude energy reductions per frame, with AAE budgeting every processing stage for maximum efficiency.
Open & Portable
CUDA-free operation across AMD/Intel/Apple hardware, supporting ROCm/SYCL/Vulkan/Metal with complete network and vendor neutrality.
USD-Native Pipeline
Seamless integration with studio tools through bi-directional Hydra compatibility, eliminating vendor lock-in and workflow disruption.
Provenance-Ready
Built-in C2PA metadata ensures complete trust and audit capabilities for enterprise and regulatory compliance requirements.
Current Development Status
1
DSL/Compiler Ready
FZX v0.2 complete with electromagnetics and network blocks, successfully emitting JSON IR and textual MLIR for downstream processing.
2
Optical Generator Prototype
CUDA-free Python implementation producing SLM phase maps and decoded images, with comprehensive manifest including energy and provenance fields.
3
Hydra/USD Integration
Integration points fully defined for Scene and Render Delegates, with schema stubs queued for FzxMaterialProps and AAEProfile implementation.
Development Roadmap
1
T-30 Days: Prototype Hardening
C++ Hydra Render Delegate implementation with optical phase map emission and digital fallback.

USD schema stubs packaging with baseline KPIs including PSNR/LPIPS validation, joules per frame measurement, and motion plausibility metrics.
2
T-90 Days: Alpha Release
Real-time controller for acrobatics, fighting, and parkour with ragdoll-to-control blends.

Network-aware AAE supporting UEC/IB with batch scaling capabilities.

Optics calibration harness and studio trial implementation via USD scenes.
3
T-180 Days: Beta Launch
Artist-facing controls through USD variants including aggressiveness, fatigue, and courage parameters.

Optional Quantum Annex integration for path planning with deterministic fallbacks.

First external pilots with research labs and indie studios.
Success Metrics & Market Strategy
Key Performance Indicators
≤5%
CoM Trajectory Error
Center of mass accuracy in complex motion sequences
10x
Energy Reduction
Joules per frame vs traditional digital rendering
<100ms
P95 Latency
Per-frame processing time at target resolution

Go-to-Market Strategy
  • Research & Simulation: Biomechanics, robotics, safety testing
  • Film/Previs: USD-native plug-ins for virtual production
  • Training/Data Gen: Physics-consistent synthetic data
Revenue Model
Multi-tiered approach including engine licensing per seat/node, optical hardware integrations, comprehensive support/SLAs, and exclusive private pilot programs.
Partnership Opportunities
Studios & Labs
We seek partners to provide USD scenes for trials, define motion expectations, and establish power budget requirements for real-world validation.
Hardware Vendors
Collaboration opportunities include optical SLM access for calibration, fabric telemetry for energy-per-bit optimization, and ROCm/SYCL support development.
Research Partners
Academic and industrial research institutions can leverage FZX for biomechanics studies, robotics simulation, and safety testing with unprecedented physical accuracy.

"The FZX Engine represents the convergence of physics, optics, and AI - delivering the future of sustainable, accurate video generation today."
Jackson's Theorems, Laws, Principles, Paradigms & Sciences…
Jackson P. Hamiter

Quantum Systems Architect | Integrated Dynamics Scientist | Entropic Systems Engineer
Founder & Chief Scientist, PhotoniQ Labs

Domains: Quantum–Entropic Dynamics • Coherent Computation • Autonomous Energy Systems

PhotoniQ Labs — Applied Aggregated Sciences Meets Applied Autonomous Energy.

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