Bayris - Demystifying Quantum Mechanics at Scale

Demystifying Quantum Mechanics at Scale

Transforming Physics Simulation
Through Local Quantum Thermodynamics

Founded 2016 | Focus: GPU Numerical Solutions

2024: Breakthrough in Quantum-Thermo Computational Physics

Competitive Advantage:

Seeking: $30M Strategic License Advances or Series A

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Quantum Technology Powers Our $4.2 Trillion Digital Economy

✓ Every smartphone: Billions of quantum tunneling transistors
✓ Every MRI machine: Quantum spin imaging
✓ Every laser: Quantum coherence

But We've Hit a Scaling Wall:

20 years of quantum computing promises unfulfilled
Quantum computers stalled at ~1000 qubits
Digital microprocessors stalled at ~5 GHz
Nuclear fusion energy is always "5 years away"
Solid state batteries are still not production-ready
Drug discovery simulations can take days

The Culprit: Wavefunction Non-Locality

"We're designing 21st-century quantum devices with 20th-century mathematical tools"

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Why Current Quantum Simulation Fails

The Wavefunction Problem:

Must track ALL particle interactions simultaneously
Schrödinger computational cost: 2^N_e for N_e electrons
- Get accuracy, but not scalable
- 100 atoms = More calculations than atoms in universe
Density Functional Theory (DFT) computational cost: ~N_e³ for N_e electrons
- Get some scalability by switching between real-space and reciprocal-space
- Requires utilizing FFT and iFFT at every step to address non-locality

Real-World Impact:

Quantum chips: Need to model entire device, DFT can simulate small sections
Materials discovery: Need bulk properties, DFT can simulate unit cells
Drug-protein interactions: Need millions of atoms, DFT can simulate thousands

Result: Innovation Bottleneck Across Industries

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Local Quantum Thermodynamics: Beyond the Wavefunction

Traditional Approach:

Wavefunction models global quantum states
Black box results

Bayris Innovation:

True Markov process
Local state at each point captures local entropy induced by broader system
Global quantum effects emerge from local interactions

We compute physics through local thermodynamic processes

Local computations: Achieve linear complexity O(N) across N points
Entropy representation: Glass box visibility
Unified physics framework: atomic → quantum nano → macro scales

Patent-Pending Computational Framework (94 pages filed)

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From Quantum Noise to Quantum Advantage

For the First Time, See:

HOW entropy flows through systems
WHERE quantum decoherence originates
WHY quantum devices fail at scale
WHICH designs will actually work

Entropy Isn't Just Disorder - It's Information

Applications:

Design decoherence-resistant quantum devices
Engineer materials that use entropy productively
Optimize quantum gates for error resistance
Create novel sensors using controlled decoherence

"We don't fight entropy - we design with it"

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8 Years of Deep R&D

2016-2022: AptML GPU Framework

AptML: OS for GPU numerical applications
Linear algebra, FFT, neural networks, ...
100% GPU-native fused kernels
Compiles for GPU or CPU
Foundation for physics engine

2024/2025: Quantum Breakthrough

Local thermodynamics formulation
Unified multi-physics framework:
atomic → quantum nano → macro scales
Simulates any system via a mesh topology
30K+ lines of quantum-chemistry code

On-Premises Application Binary:

Implements role-based enterprise server
Includes HTTP server for ReactJS web UI
Will implement ad-hoc social network for physics research:
- Organizations may publish/share projects with each other

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Phase 1: Quantum Chemistry (Months 1-24)

Target: $80B+ pharmaceutical R&D market (2019 CBO figures)
Application: Material science / Full-scale drug-protein interactions
Advantage: precise, with 100x larger molecules than DFT competitors
Revenue: $2M+ annual licenses

Phase 2: Nano-scale and macro-scale simulations (Months 25-48)

Quantum Computing: Decoherence-resistant designs
Semiconductors: Next-gen architectures, including plasmonic gates
Nuclear Fusion: Plasma confinement & instability prediction
Energy Storage: Quantum battery materials
Fluid Dynamics: Turbulence & multiphase flow at all scales
Revenue: $15M ARR across verticals

Phase 3: Quantum IP Portfolio (Year 5+)

Internal R&D: Novel quantum architectures
Patent Portfolio: License to manufacturers
Strategic Position: "ARM of quantum design"

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Current Players Are Hitting Limits

Company	Approach	Fatal Limitation
Schrödinger	Quantum mechanics (QM) Molecular dynamics (MD)	Expensive FFT, iFFT operations
IBM Qiskit	Quantum circuit-based simulation	Limited by number of physical qubits
Microsoft Azure	Cloud quantum	Uses unscalable quantum HW or SW
Menten AI	ML-enhanced QM	Requires training data

Only Bayris Addresses Root Cause:

Fundamental mathematical innovation
Unlimited parallelization potential
Unique entropy insights
Single unified physics platform: atomic → macro scales

No one else is pursuing post-wavefunction approaches

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Current Status:

✅ Mathematical framework complete (patent filed)
✅ GPU infrastructure: 8 years R&D
⏳ Core simulation engine: 85% complete for single GPU (need remesher, UI, etc.)
⏳ Quantum chemistry module: 60% complete

Validation Milestones (Post-Funding):

Month 9: Reproduce known quantum results in single GPU

Month 12: Demonstrate scaling advantage across GPU cluster

Month 15: First pharma customer pilot

Month 18: Peer-reviewed publication

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High-Value Enterprise SaaS Model

Years 1-2 (Development & Validation)

Complete simulator for quantum chemistry
3-5 pilot customers (primarily academia and pharma)
$2M+ pilot revenues

Years 3-4 (Market Expansion)

20+ enterprise customers
Launch quantum/semiconductor/macro-scale verticals
$15M ARR across verticals

Year 5+ (Market Leadership)

$50M+ ARR across verticals
Quantum IP licensing revenue
Strategic value: $1B+

Unit Economics:

Contracts charge per GPU license
Average Contract Value: $1-3M/year
Gross Margin: 85%+
Net Revenue Retention: 140%+

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$30M Efficient Deployment

60% Technical Team ($18M)

5 Quantum physicists
5 GPU engineers
3 UI/UX developers
2 IT/cluster developers
5 Application scientists (year 2+)
3 year runway

20% Validation & Computing ($6M)

GPU cluster resources
Benchmarking studies
Customer POCs

13% Business Development ($3.9M)

Enterprise sales team
Technical marketing
Conference presence

7% Operations ($2.1M)

IP protection
Infrastructure
Administration

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Perfect Storm of Opportunity

✓ Quantum Industry at Inflection

$1B+ invested, still can't scale
Everyone needs better simulation

✓ GPU Computing Maturity

30x higher benchmarks than 2016
Cluster deployment standardized

✓ Market Pull Intensifying

Pharma: Patent cliffs need new drugs
Semiconductors: Moore's Law ending
Quantum: Investors demanding results

✓ First-Mover Advantage

No one else pursuing this approach
2-3 year technical lead
Core IP patent-pending

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Leadership

Founder/CEO: Jorge Campos, Ph.D.

Ph.D. in EE: 2007, U.C. Davis
- Focus: Digital IC Design, Fabrication, Validation, and Test
- Dissertation: Mutation-based Validation Paradigm
  (a software framework for digital circuit design validation)
9 years patent agent experience
8 years building GPU infrastructure

Our Approach:

No shortcuts in R&D
Physics-first, not hype-first
LLM-augmented development (5x productivity)
Develop strong quantum patent portfolio

Seeking Advisory Board:

Quantum computing pioneers
Pharmaceutical R&D executives
GPU computing experts

Vision:

Every quantum device designed in the next decade will use Bayris to understand and control quantum-thermal interactions at scale

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$30M Strategic Growth Program

Strategic Partnership Opportunity

$2-5M prepaid license advance
50% discount on all GPU licenses for 2 years
1-year exclusive domain access ($5M+ partnerships)
Shape development priorities

Investment Opportunity

$30M Series A
Valuation: Based on strategic value
Board seat for lead investor

Together, we'll unlock the quantum revolution

Next Steps:

Technical deep-dive (under NDA)
Review detailed projections
Reference calls with interested customers

Contact: jorge@bayris.com

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Transforming Physics SimulationThrough Local Quantum Thermodynamics