About this FAQs.

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It’s late November 2025, and looking back, “project” isn’t the right word for what I’ve been doing, a better word is to write "it's been a journey. " It really started during COVID-19, in that strange isolation while the world was scrambling for treatments and cures. That pushed me deep into biology and, eventually, the entire drug discovery pipeline. Coming from a background in building high-performance digital systems for chaotic environments, I mean in meteorology, live video, tornado chasing, and such, I was already used to wrestling with disorder. That’s where I fell in love with quantum mechanics and quantum computing ideas like entanglement and superposition, and started asking: Can I tap into this chaos on purpose?

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From that question, the quantum linguistic framework was born. I call it Zaban-e-Quantum. To prove it wasn’t just poetry, I built a prototype quantum-enhanced tornado forecaster that could flag collapse zones earlier than classical radar alone. The next proof-of-concept is QuantumCURE Pro™: a drug discovery engine that uses quantum entropy and symbolic glyphs to guide and explain its search for new compounds.

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As QuantumCURE Pro™ and Zaban-e-Quantum gain visibility, people naturally ask how this platform actually works, what “Entropy-Aware Lead Discovery” means, and why there’s a quantum language sitting underneath a drug discovery system. This FAQ gathers the most common questions about QuantumCURE Pro, its quantum entropy modes, Quantum Glyph Signatures, and the Zaban framework. So you can quickly understand what I’m building and where it’s headed.

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QuantumCURE Pro – Frequently Asked Questions (FAQ)

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1. What is QuantumCURE Pro™?

QuantumCURE Pro™ is a quantum-enhanced drug discovery platform built entirely in Oklahoma City by Mansour Ansari. 
It combines high-speed molecular docking, advanced AI, and real quantum entropy from hardware QRNGs and quantum annealers to explore chemical space more deeply than classical tools. The goal is to give smaller labs, universities, and serious citizen-scientists access to capabilities that traditionally required very expensive enterprise licenses.

2. Who is QuantumCURE Pro for?

QuantumCURE Pro is designed for:

• Small biotech startups and academic labs

• Computational chemists and structural biologists

• Serious independent / citizen-scientists

• Teams who want to run large-scale docking campaigns without $100K+ licenses

It’s meant to be both affordable and transparent, so users can understand how each candidate emerged from the search.

3. How is QuantumCURE Pro different from traditional docking software?

Traditional docking engines rely purely on pseudo-random number generators (PRNGs) to explore poses and conformations. These are deterministic algorithms that often revisit the same energy basins, producing redundant results across runs.
QuantumCURE Pro introduces real quantum entropy (via vrious QRNG hardware and D-Wave annealing) and tracks which entropy source produced each hit. This enables Entropy-Aware Lead Discovery (EALD). Not just “more docking,” but understanding how and why a promising compound surfaced.

4. What is QRNG Mode?

QRNG Mode uses a Quantum Random Number Generator (QRNG) based on real quantum events (for example, photon detections and collapse events) instead of algorithmic randomness.
This non-algorithmic entropy:

• Samples pose space differently on each run

• Can uncover binding modes and scaffolds that PRNG-only searches may never visit

• Tags hits as “QRNG-derived” so they can be analyzed separately later

It’s one of the core ways QuantumCURE Pro injects genuine quantum behavior into the search.

5. What is Annealing Mode?

Annealing Mode uses entropy seeds derived from quantum annealing runs (e.g., D-Wave QUBO submissions).
In this mode:

• The system samples from a physical energy landscape in the annealer

• Those samples are transformed into entropy packets and seeds that guide docking exploration

• The idea is to leverage quantum tunneling to jump out of local minima more efficiently than classical simulated annealing

These seeds also generate symbolic Quantum Glyph Signatures for pattern tracking.

6. What is Entropy-Aware Lead Discovery (EALD)?

Entropy-Aware Lead Discovery (EALD) is the idea that how you seed a search matters just as much as what you’re searching for.
In QuantumCURE Pro, every hit is tagged with its entropy source:

• PRNG (classical)

• QRNG (hardware quantum randomness)

• Annealing (quantum annealer seeds)

This lets researchers ask questions like:

• “Which scaffolds only appear when seeded by QRNG or annealing?”

• “Are certain targets more responsive to specific entropy profiles?”

EALD turns entropy into a first-class variable in lead discovery, not just a hidden implementation detail.

7. What are Quantum Glyph Signatures?

A Quantum Glyph Signature is a symbolic fingerprint generated for every simulation run.
Each glyph captures aspects of the entropy-driven exploration path—how the system wandered through pose space under a particular entropy profile. These glyphs:

• Are stored alongside docking scores, IC₅₀ estimates, Lab-Ready Scores, and toxicity predictions

• Represent the “story” of how a hit was found, not just the final number

• Become inputs to advanced AI models for downstream ranking and pattern discovery

Visually and structurally, the full glyph system is proprietary to QuantumLaso.

8. How does the AI (GANN) use Quantum Glyphs?

The advanced AI layer (GANN – Graph / Generative Adversarial Neural Network) treats each Quantum Glyph as an additional feature vector describing a run.
In simplified terms, the AI learns correlations such as:

• “Glyphs with this pattern of QRNG/annealing behavior tend to correspond to non-toxic, stable binders.”

• “These glyph families are often associated with false positives or unstable conformations.”

By combining molecular structure (graphs) with glyph features (entropy patterns), the AI refines and re-ranks the Golden List of candidates more intelligently than using docking scores alone.

9. What is the “Golden List”?

The Golden List is a continuously growing, curated set of high-value candidates that emerge from QuantumCURE Pro’s pipeline.
Hits on the Golden List are:

• Strong docking candidates (binding affinity, pose quality)

• Screened for basic toxicity and Lab-Ready Score

• Tagged with entropy source and Quantum Glyph Signatures

• Prioritized for further AI analysis and, eventually, wet-lab validation

It is intended to become a long-term asset: a living, entropy-aware catalog of repurposing hits and novel candidates.

10. What is the Zaban quantum linguistic framework?

Zaban-e-Quantum (“Quantum Language”) is a separate, experimental project by the same creator.
Zaban is:

• A symbolic engine that assigns glyphs to patterns of entanglement, collapse, and entropy

• An attempt to build a “language of quantum expression”, a dictionary where glyphs encode how information behaves under quantum processes

• Used conceptually across projects like QuantumCURE Pro and Quantum Tornado to provide a unified symbolic layer (glyphs for storms, molecules, and more)

It is the “poetic” sibling to the more application-focused QuantumCURE Pro.

11. Is Zaban a proven scientific standard?

Not yet.
Zaban is:

• Science-inspired and science-informed, drawing from quantum mechanics, semiotics, and information theory

• Actively being prototyped in apps and simulators (e.g., Zaban Zygote, Zaban Zarekar, etc.)

• Positioned at the experimental frontier, not as a finished, universally accepted standard

The vision is long-term: a robust glyph dictionary that can be used to analyze patterns across many domains where quantum and complex systems play a role.

12. Could these glyphs be used for communication with non-human intelligences?

That is part of the aspirational vision behind Zaban. It was not designed for that reason. Because Zaban’s glyphs are meant to encode properties of quantum behavior itself (entanglement, superposition, collapse patterns), the idea is that:

• They might form a language grounded in physics, not human culture

• A quantum-inspired language dictionary that contain words and phrases for ultra secure communication

• Such a language could, in principle, be more universal. it is relevant to AI systems, biological systems, or even non-Earth intelligences, if they exist and can interact at the quantum level

This remains speculative and exploratory, but it is an explicit long-term direction of the project. "I built the framework for machine to machine and AIs that find common patterns in drug discovery not to chat with the little green man, but I am open-minded!, Ansari said."

13. Who is behind QuantumCURE Pro and EALD?

QuantumCURE Pro, Entropy-Aware Lead Discovery (EALD), and the Quantum Glyph framework were designed and built by Mansour Ansari in Oklahoma City, Oklahoma.

Key points:

• Retired software engineer with decades of work in high-performance broadband and live video systems (including a storm-chaser-grade platform called VideoMover)

• Self-taught in quantum computing, AI, and computational chemistry through thousands of hours of independent study

• Founder of QuantumLaso, LLC, home to QuantumCURE Pro, the Citizen Scientist portal, Quantum Tornado, and Zaban-e-Quantum

The platform is the result of a personal mission: to build something genuinely useful for humanity in my “golden years.”

14. How does QuantumCURE Pro relate to Quantum Tornado and your other projects?

All the projects share a common thread: using real entropy and symbolic glyphs to understand complex systems.

• QuantumCURE Pro – applies quantum entropy and glyphs to molecular docking and drug discovery

• Quantum Tornado Forecast – applies similar ideas to severe weather, modeling collapse zones and uncertainty fields

• Zaban-e-Quantum – provides the overarching symbolic language that ties collapse patterns together across domains

Think of QuantumCURE as the drug discovery engine, Quantum Tornado as the weather engine, and Zaban as the language layer underneath them both.

15. Can Entropy-Aware Discovery be used beyond drug discovery, for example in materials science?

Yes, the underlying principle is general.
Many problems in materials science, like finding new crystal structures, catalysts, or high-performance materials, all involve searching enormous energy landscapes with many local minima. Entropy-Aware Discovery can:

• Use quantum seeds (QRNG, annealing) to explore configuration space in less predictable ways

• Tag successful configurations with entropy profiles, just as in drug discovery

• Help identify “outlier” structures that classical algorithms might systematically miss

The same architecture used in QuantumCURE Pro can, in principle, be adapted to future materials and physics-oriented simulators.

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16. So how do you grab randomness from quantum hardware like QRNGs or annealers?

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This is exactly where I draw a clean line between standard, transparent methods and my proprietary glue. In simple terms, I connect to real quantum devices and harvest their raw output as streams of bits. Then turn those streams into “entropy packets” that can be used as seeds for simulations.

With a QRNG, the device measures genuine quantum events (for example, photon detections or similar physical processes). A vendor SDK or API exposes that as a stream of random bits. I read those bits in batches, run them through standard, well-known post-processing steps (for quality and uniformity), and package them into reusable seeds that my docking engine can consume.

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With a quantum annealer, I submit QUBO-style problems and receive samples from its physical energy landscape. Those samples are also essentially structured randomness. I extract the relevant parts, compress them into entropy packets, and use them as another class of seeds. these are separate from the QRNG ones and from classical PRNG seeds.

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The exact way those entropy packets are formatted, routed, and mapped into search behavior and glyphs is proprietary. Conceptually, though, it’s always the same pattern:

1. Talk to the quantum device.

2. Collect raw outputs.

3. Clean and package them into seeds.

4. Feed those seeds into the docking and glyph systems as a first-class source of entropy.

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17. Does QuantumCURE Pro dock compounds directly on a quantum annealer?
(It doesn’t make sense with NISQ-era errors, right?)

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No. Running full molecular docking directly on today’s NISQ (Noisy Intermediate-Scale Quantum) annealers would be impractical: the systems are noisy, qubit counts are limited, and realistic docking problems are huge.

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QuantumCURE Pro™ does not perform the full docking calculation on the D-Wave box.

Instead, it uses the annealer in a hybrid, very targeted way. Let me explain:

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1. Classical engine does the docking

   • The actual docking—scoring, pose search, binding evaluation all runs on a classical Vina-style engine on CPUs/GPUs.

   • This is where the heavy numerics live.

2. The quantum annealer acts as an entropy co-processor

   • QuantumCURE Pro submits compact QUBO-style problems to the annealer.

   • The D-Wave system returns samples from its physical energy landscape.

   • Those samples are turned into entropy packets / seeds that influence how the classical engine explores pose space.

3. Why this matters in the NISQ era

   • Because the annealer uses quantum effects (like tunneling) to explore rugged landscapes, its samples are qualitatively different from classical PRNG noise.

   • By injecting these quantum-derived seeds into the classical search, QuantumCURE Pro can:

     • Reduce redundant, “same-basin” simulations

     • Encourage exploration of less obvious regions of the energy landscape

     • Surface poses and scaffolds that a purely algorithmic search might consistently miss

So the design is intentional:

Use classical hardware for what it’s already great at (fast docking), and use the quantum annealer as a specialized entropy + sampling engine—not as a full-blown, end-to-end docking box.

That way, QuantumCURE Pro benefits from quantum behavior without being handcuffed by NISQ-era error rates and qubit limits.

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18. How many “randomness modes” (entropy recipes) does QuantumCURE Pro offer? Are we forced to use QRNGs?

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No—you are not forced to use QRNGs. QuantumCURE Pro is designed to be flexible and comparative. You can run fully classical, fully quantum-seeded, or any mix in between.

Right now the platform supports multiple entropy sources, with more on the way:

• Classical PRNG Mode
  Standard high-quality pseudo-random number generators.

  • Baseline mode

  • Useful for reproducibility and comparison

  • Lets you see exactly what quantum entropy is buying you.

• ANU Online QRNG Mode
  Quantum randomness streamed over the internet from ANU’s public QRNG service.

  • Great for users who don’t have local hardware

  • Provides real quantum entropy without plugging anything into your USB port.

• Local USB QRNG Mode
  Hardware QRNG device on your own machine.

  • Low-latency, high-throughput entropy

  • Ideal for heavy users and long docking campaigns

  • Preferred mode in my own lab.

• D-Wave Annealing Mode
  Quantum annealer seeds derived from QUBO runs.

  • Used as structured, quantum-derived entropy

  • Guides classical docking into different regions of pose space

  • Tagged separately for Entropy-Aware Lead Discovery.

• (Planned) IonQ / trapped-ion QPU Entropy

  • Future integration to harvest entropy traces or structured samples from trapped-ion hardware

  • Will be treated as its own labeled entropy profile.

• (Planned) Google / other QPU Entropy

  • Additional QPU backends will be added as the ecosystem matures

  • Again, each with its own tag so you can filter and compare results by entropy source.

• (Planned) PCIe QRNG Cards

  • High-bandwidth, low-latency quantum entropy directly on a workstation or server

  • Ideal for large, ongoing screening campaigns.

In practice, you can think of these as entropy recipes:

• Pure PRNG

• Pure QRNG

• Pure annealing

• Or hybrid mixes (e.g., “70% PRNG, 30% D-Wave seeds” for experimental runs)

The point of QuantumCURE Pro is not to force you into quantum hardware—it’s to let you compare classical vs QRNG vs annealing vs future QPU entropy, and then use Entropy-Aware Lead Discovery to see which sources are actually surfacing the most interesting, lab-ready compounds.

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19. Does QuantumLaso offer a Fellowship Program? Who is it for?

Yes. QuantumLaso runs a Fellowship-style program for serious researchers and advanced learners who want to work hands-on with QuantumCURE Pro™ and the broader QuantumLaso ecosystem.

The program is aimed at people with strong scientific or technical backgrounds, including (but not limited to):

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• PhD students and postdocs

• MD / DO clinicians with an interest in computational drug discovery

• Master’s-level researchers in chemistry, biology, physics, or data science

• Computational scientists, engineers, and AI/ML practitioners

• Independent researchers who can operate at that level

The public-facing entry point for this is the Citizen Scientist / Fellowship portal (see the main menu at CitizenScientist.org), where qualified participants can:

• Get access (or guided exposure) to QuantumCURE Pro™

• Run real docking and entropy-aware simulations

• Contribute to large-scale screening campaigns

• Help refine pipelines and analysis methods around Zaban glyphs and Entropy-Aware Lead Discovery

The core idea is simple: instead of keeping this technology behind closed doors, QuantumLaso invites capable people—inside or outside traditional academia, to “kick the tires” on a frontier quantum–AI drug discovery engine and contribute to the work.

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20. How are IC₅₀, Bemis–Murcko scaffolds, and VdW clashes calculated inside QuantumCURE Pro?

This is where I draw a clean line between standard, transparent methods and my proprietary glue.

With that said:

IC₅₀ (Half-maximal inhibitory concentration)

QuantumCURE Pro handles IC₅₀ in two main ways:

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1. Predicted IC₅₀

   • After docking, each compound has features like binding affinity, pose quality, interaction profile, etc.

   • These features are fed into machine-learning style models (and logistic curve fits in the Dose–Response Analyzer) to estimate an IC₅₀ value.

   • The platform then labels each compound with a potency class (e.g., extremely potent, moderate, weak) and plots a sigmoidal dose–response curve in the UI.

2. Imported / experimental IC₅₀

   • If you have real lab data, you can import concentration–response pairs.

   • QuantumCURE Pro fits a 4- or 5-parameter logistic curve to that data and computes IC₅₀ from the fitted curve.

   • This keeps experimental IC₅₀ separate from predicted IC₅₀ but visible together in reports and exports.

The exact model weights and internal heuristics are proprietary, but the math is based on standard dose–response and curve-fitting methods.

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Bemis–Murcko Scaffold Analysis

For scaffold analysis, QuantumCURE Pro uses well-known cheminformatics logic:

• Each molecule is parsed into a graph (atoms and bonds).

• The core framework (ring systems + linkers) is extracted, stripping off side chains and decorations.

• This gives the Bemis–Murcko scaffold, which is used to:

  • Group compounds into chemotypes

  • Track which scaffolds keep reappearing as hits across runs

  • Help users recognize “families” of promising molecules

Technically, this is standard Bemis–Murcko decomposition using cheminformatics tooling—what’s unique is how it’s tied to entropy tags, IC₅₀, and glyphs in the UI and exports.

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Van der Waals (VdW) Clash Analysis

VdW clash analysis is used to judge whether a pose is geometrically reasonable:

• After docking, QuantumCURE Pro inspects the protein, ligand complex geometry.

• It checks inter-atomic distances against typical van der Waals radii.

• When atoms are unrealistically close (beyond a threshold), they’re flagged as VDW clashes.

• The system can then:

  • Penalize clashing poses in the scoring layer

  • Surface “clean” poses with minimal clashes

  • Show clash metrics as part of the Lab-Ready Score and Forensics cards

Again, the underlying physics (VdW radii, distance checks) is standard; the proprietary part is how these clash metrics are combined with docking scores, IC₅₀ predictions, glyphs, and entropy provenance to decide which compounds float up toward the Golden List.

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Short version:

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IC₅₀ is computed via standard dose–response math plus ML models,

Bemis–Murcko is classic scaffold extraction,

VdW clashes are distance-based geometry checks, and QuantumCURE Pro’s secret sauce is how all of these are fused with entropy and glyphs to decide which compounds truly matter.

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21. Do you offer a free plan?

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There is no permanent free tier, but I do offer a way to kick the tires without paying.

• You can sign in with a Guest Account and:

  • Run docking on a limited number of compounds

  • Export those results in standard formats (e.g., PDB/PDBQT/SDF)

  • Load and visualize them in tools like PyMOL at no cost

This guest access is free until January 15, 2026, with export limits in place to prevent abuse. It’s designed so you can see the engine in action, inspect real complexes in PyMOL, and decide whether QuantumCURE Pro belongs in your serious workflow, before spending a dollar.

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22. Do you offer a private-label / white-label version?

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Yes. QuantumCURE Pro™ can be offered as a private-label (white-label) solution for organizations that want:

• Their own branding on the interface

• Custom workflows, integrations, or data pipelines

• A dedicated instance for internal teams or clients

For private-label / white-label arrangements, licensing, and deployment details, please contact: contact@quantumlaso.com.

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23. Can QuantumCURE Pro run entirely on a local machine?

Short answer: No—not today. QuantumCURE Pro is a cloud-first platform. The core engine lives in the cloud:

• The main databases

• The Vina-style docking workers

• The entropy buckets (PRNG, QRNG, D-Wave, etc.)

These pieces need shared, scalable infrastructure and are not shipped as a single offline binary.

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However:

• The UI layer can be compiled to run locally (as a desktop-style app or local web client).

• A powerful local machine—especially an NVIDIA “Spark” class workstation or similar GPU box, can be used to do heavy protein preparation, file cleanup, and preprocessing locally (e.g., protonation, grid prep, filtering), then push prepped systems to the cloud docking engine.

In practice, that means:

• Cloud handles: large-scale docking, entropy management, result storage.

• Local hardware can: accelerate prep and analysis, making the overall loop much faster, especially when you’re iterating on proteins and ligands all day.

Fully air-gapped, on-prem QuantumCURE Pro would require a special enterprise deployment, not the standard product.

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24. Can QuantumCURE Pro run on any operating system?

Yes. I designed the entire system using a windows 10 platform, but QuantumCURE Pro™ is web-based, so it’s essentially OS-agnostic.

You can use it from:

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• Windows

• macOS

• Linux

• Even tablets, as long as you have a modern web browser and a solid internet connection

No special installation is required for the core platform, just log in through the browser. Optional local helper tools (for protein prep or visualization) may be OS-specific, but the main QuantumCURE Pro experience is fully web-delivered.

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25. Is QuantumCURE Pro just using random numbers from a computer, or is there deeper physics behind it?

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Under the hood, our quantum entropy is rooted in the same constant that defines the quantum world: Planck’s constant "h". 

Every hardware QRNG we use, and every quantum annealing sample we harvest, ultimately depends on the fact that energy, phase, and action come in discrete quanta governed by "h". That quantization creates irreducible uncertainty, the kind you cannot simulate with a classical pseudo-random generator no matter how clever the algorithm is.

QuantumCURE Pro doesn’t “use "h" as a number”; instead, it taps processes whose randomness is Planck-bounded, they obey uncertainty relations that only exist because "h" is non-zero. When we talk about Entropy-Aware Lead Discovery, we’re really talking about exploring chemical space under different channels of Planck-limited randomness and watching how that changes the compounds that rise to the top.

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Ask me any question and I will answer here. Contact @quantumlaso.com or videomover@gmail.com

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