Introduction

QuantumCURE Pro™ Entangler exists because a specific set of hard problems were solved—quietly, methodically, and over time. Over a two-year development cycle, QuantumLaso focused on three core capabilities that rarely coexist in a single system and are almost never available in a private, turnkey form:

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1. Full cloud orchestration of legacy Vina docking, modernized for scalable, repeatable, and auditable operation across millions of compounds.

2. Live quantum entropy harvesting, sourced from real QRNG hardware, continuously injected into molecular exploration rather than simulated or approximated.

3. Symbolic Zaban glyph assignment, preserving collapse-path context and discovery signatures that cannot be captured by numerical scores alone.

 

Each of these components is individually non-trivial. Together, they form the foundation of a new class of molecular discovery instrument. The result is not a web service, not a black-box AI, and not a competitor to Schrödinger or Atomwise. Entangler is a private molecular forging engine—designed for research teams that want to own their data, control their entropy sources, and operate discovery pipelines inside secure or IP-sensitive environments.

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By separating orchestration (cloud) from decision-making (local), and combining deterministic computation with quantum-seeded exploration, Entangler enables cancer drug discovery workflows that are:

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• Reproducible, yet non-degenerate

• Scalable, yet sovereign

• Classical in execution, yet quantum-enhanced in exploration

 

This system was built to serve startups, serious labs, and stealth research groups that value independence over convenience and instrumentation over platforms. QuantumCURE Pro™ Entangler is the physical embodiment of that philosophy, a turnkey instrument made possible only after years of foundational work in cloud docking, entropy engineering, and symbolic analysis.

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The Product

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QuantumCURE Pro™ Entangler (Atlas Edition) is a sovereign, on-premise molecular discovery instrument designed for cancer drug research teams that require privacy, reproducibility, and full control over their discovery pipeline.

At its core, Entangler unifies three hard-to-replicate capabilities into a single system:

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1. Cloud-orchestrated Vina docking at scale, enabling systematic screening of millions of compounds across multiple protein targets.

2. Live quantum entropy harvesting via PCIe or USB QRNG hardware, injecting real physical randomness into molecular exploration and collapse-path discovery.

3. Symbolic Zaban glyph assignment, capturing non-numerical collapse signatures that preserve discovery context beyond raw scores.

 

The system continuously forges and refines a local Wet List—a curated, target-specific shortlist of high-value molecular candidates—ready for downstream molecular dynamics, IC₅₀ modeling, and AI-based inference.

 

Entangler is not a SaaS dependency, not a black-box model, and not a Schrödinger replacement.
It is a private molecular forging instrument, designed for labs that want to own both their data and their discovery process.

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🧱 Founders Edition — Atlas Hardware Specifications (Prototype)

Chassis Class: Dual-socket workstation / tower
Operating System: Windows 11 Pro for Workstations
Deployment Model: On-premise with cloud burst orchestration

Compute

• Dual-socket CPU architecture (AMD EPYC or Intel Xeon class)

• 64–192 physical CPU cores (configurable)

• Optimized for high-throughput, embarrassingly parallel workloads

Memory & Storage

• 128–512 GB ECC RAM

• High-speed NVMe scratch storage (local docking, prep, caching)

• Dedicated storage partition for Wet List and audit logs

Quantum Entropy

• PCIe QRNG (preferred) or USB QRNG support

• Continuous entropy harvesting daemon

• Entropy provenance logging (source, hash, timestamp)

• PRNG fallback with explicit mode tagging

Acceleration (Optional Add-Ons)

• NVIDIA GPU(s) for:

  • GNN / GANN inference

  • SKALA models

  • AI rescoring and clustering

• CUDA-enabled, but not required for core docking

Networking

• Secure outbound cloud connectivity

• No inbound dependencies required

• Compatible with air-gapped / restricted environments (cloud optional)

🔥 The Forge Pipeline (Operational Core)

Entangler runs the Forge Pipeline, a deterministic-yet-entropy-aware workflow:

• Ligand preparation (cached, reproducible)

• Target-specific docking orchestration (local + cloud)

• Score aggregation and pose analysis

• Zaban glyph assignment (symbolic collapse tagging)

• Wet List promotion based on score, diversity, and symbolic signatures

Only compounds that survive the Forge are promoted to:

• Molecular Dynamics

• IC₅₀ modeling

• AI / SKALA inference

• Experimental handoff

This dramatically reduces downstream cost and noise.

🪪 Founders Edition 

QuantumCURE Pro™ Entangler, Atlas Edition — Founders Series

A private molecular entanglement engine for cancer drug discovery.

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• Forged with quantum entropy.

• Orchestrated through the cloud.

• Curated by symbolic collapse.

• Built by QuantumLaso, LLC

• 2026 Prototype Series

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🗺️ 2026 Prototype Roadmap

Q1–Q2 2026 — Core Stabilization

• Finalize cloud Vina orchestration (multi-target, shard-based)

• Harden entropy daemon (PCIe + USB QRNG)

• Standardize run manifests, Wet List schema, and audit logs

• CLI-first operation (batch + daemon driven)

Q2–Q3 2026 — Local Atlas Integration

• Hardware BOM selection and validation

• NUMA-aware job scheduling

• Local Wet List persistence and replay

• PRNG vs QRNG paired-run comparison tooling

Q3 2026 — Symbolic & AI Expansion

• Zaban glyph stabilization and export formats

• Initial AI rescoring / clustering hooks

• SKALA integration (Founders preview)

• GPU acceleration validation (optional)

Q4 2026 — Founders Edition Prototype

• First complete Atlas box assembled

• Internal validation on real cancer targets

• End-to-end demo: entropy → dock → glyph → Wet List

• Founder-level documentation and onboarding

🎯 Positioning 

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QuantumCURE Pro™ Entangler is not a docking tool. It is a private molecular forging instrument—designed to entangle quantum entropy, classical computation, and symbolic intelligence into actionable cancer drug candidates.

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Local processing time estimation:

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So, with 64–192 physical cores and 512 GB RAM, the local side (prep + packaging + result parsing + Wet List writes) can be very fast. But since Vina is on the cloud, your end-to-end wall time will usually be:

 

Total time ≈ max(Local prep + post, Cloud docking throughput)

 

So below I’m providing realistic local-time ranges (prep + submit + parse/write), and you can compare them to whatever your cloud throughput is. I will benchmark the process as development progresses and will post in this space.

Assumptions (realistic, not “best case”)

Two local prep modes:

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• Fast / cached prep: ligands already standardized, minimal 3D work (or conformers cached).
  ~0.4 CPU-seconds per compound total local work.

• Full prep: SMILES → 3D conformers + protonation/charges + PDBQT generation + bookkeeping.
  ~3.0 CPU-seconds per compound total local work.

Parallel efficiency assumptions (overhead + I/O + Python/RDKit realities):

• 64-core workstation → ~50 effective cores

• 192-core workstation → ~150 effective cores

Local processing time (prep + submit + parse/write)

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Compounds64-core WS (Fast / Cached)64-core WS (Full Prep)192-core WS (Fast / Cached)192-core

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What this table is telling you

• With 192 cores, you can prep 1,000,000 compounds locally in ~44 minutes (cached) to ~5.6 hours (full prep).

• With 64 cores, the same job is ~2.2 hours (cached) to ~16.7 hours (full prep).

The cloud docking check (so you don’t mis-estimate)

Because docking is cloud-side, if your cloud fleet can do (for example):

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• 100 ligands/second total, then 1,000,000 ligands ≈ 2.8 hours docking time

• 500 ligands/second total, then 1,000,000 ligands ≈ 0.56 hours (~34 minutes)

 

So depending on your cloud throughput:

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• Your local box may be the bottleneck (if cloud is huge), or

• Your cloud may be the bottleneck (if cloud is small)

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