CurPay’s Hybrid Quantum-Classical Intelligence

First there was AVP® and Soon QAVP®

CurPay’s core technology is our Automated Volatility Protection (AVP)®, a patent-pending classical computing AI that analyzes market conditions for any trading pair across multiple exchanges and liquidity providers. It provides protection against market volatility and performs smart conversions from one asset to another.

Our next goal, Quantum AVP® (QAVP), a Hybrid Quantum-Classical ML that combines two powerhouse technologies: the pattern-finding strength of machine learning and the computational weirdness of quantum mechanics. The goal is allowing QAVP to consider all possibilities at once. Real quantum hardware is still limited, noisy and small-scale, so for now development is utilizing either IonQ’s or Azure’s Full-state vector simulators when necessary.

How Quantum AVP® will work:

A classical computer prepares and processes data.
A parameterized quantum circuit (PQC) acts like a neural net layer, a quantum analog to a neural network layer.
Training happens via iterative optimization loops—evaluating cost functions on the quantum side and updating weights classically. The circuit evolves, entangles, and finally gets measured. It learns patterns by adjusting internal parameters, only it learns through entangled qubits and probability amplitudes instead of weighted sums and Rectified Linear Units (ReLU) that are used in classical neural networks. Training becomes significantly more efficient and allows for new types of models that are hard and even impossible to obtain on a classical computer.

Quantum AVP® (QAVP): The Next Leap

CurPay’s Quantum Machine Learning (QML) research is set to redefine far more than trading. Our upcoming models are being engineered to enable quantum anomaly detection for identifying fraud and manipulation across high-noise payment environments. We're developing QML-powered decision trees designed to optimize strategic workflows in ways that traditional models struggle to match. Future forecasting engines will be tuned for nonlinear market dynamics, giving users deeper insight into volatility trends and hidden correlations.

How Volatility Drives Quantum Feature Activation in QAVP®

In CurPay’s hybrid architecture, volatility isn’t treated as noise, it’s treated as signal. When technical indicators like RSI or MACD reflect instability in the markets, QAVP® activates quantum feature generation logic that supercharges prediction quality. This adaptive design allows CurPay’s models to respond dynamically, efficiently, and intelligently.

🔄 Volatility-Triggered Feature Flow

[ RSI / MACD Surges ] │ ▼ [ Volatility Thresholds Breached ] │ ▼ [ Quantum Feature Generator (Q#) ] ↳ Kernel Estimation ↳ Entropy Scoring ↳ PQC Outputs │ ▼ [ Injected into ML.NET Model ] │ ▼ [ FastForestRegression or LightGbm → Price Forecast ]

⚙️ QAVP® Hybrid Intelligence Model

┌──────────────┐ │ Classical AI │──┐ └──────────────┘ │ ▼ ┌─────────────────────┐ │ Volatility Checker │ └─────────────────────┘ │ │ ▼ ▼ No Trigger Quantum Triggered │ │ ▼ ▼ Classical Only Quantum-Enhanced Prediction

📊 Prediction Accuracy Visualization

Price Over Time ──────────────────────────────────── Actual ┈┈────┈┈────┈┈────┈┈──── Predicted: No Quantum ┄┄────┄┄────┄┄────┄┄── With Quantum ▲────┄┄▲────┄┄▲──

Legend:

▲ = Quantum Feature Injected┄ = ML.NET Prediction┈ = True Price

📊 RSI-Triggered Quantum Feature Overlay

RSI: ────╱╲╱╲──╱╲────╱╲────╱╲────── QuantumFeature: ▲ ▲ ▲ PredictedPrice: ────┄┄───┄┄─▲──┄┄──▲─┄┄──── ActualPrice: ────┈┈────┈┈────┈┈────┈┈────

Legend:

▲ = Quantum Feature Injected┄ = ML.NET Prediction┈ = True Price

📊 MACD-Triggered Quantum Feature Overlay

MACD Histogram: ──┴──┬────┴─────┬───┬────┴─── QuantumFeature: ▲ ▲ ▲ PredictedPrice: ───┄┄───┄┄──▲───┄┄──▲─┄┄───── ActualPrice: ───┈┈────┈┈────┈┈────┈┈─────

Legend:

▲ = Quantum Feature Injected (MACD surge)┄ = ML.NET Prediction┈ = True Price┬/┴ = MACD bars (up/down momentum)

Impact and Opportunity

QAVP® responds precisely when classical indicators show strain, transforming volatility into intelligence. Traders and merchants see heightened accuracy when it matters most. And as quantum hardware matures, these intelligent triggers will expand, evolving into real-time anomaly detection, fraud prevention, and dynamic settlement optimization.

Our technology will added to the CurPay Merchant Gateway, which routes payments dynamically to the most efficient providers based on speed, cost, regional availability, and compliance needs. By combining quantum-enhanced analysis with QRNG-secured entropy, CurPay aims to offer merchants not just a gateway, but a strategic edge in optimizing conversions, reducing fraud, and streamlining settlements across fiat and digital rails.

Quantum hardware is emerging, and Quantum ML is new, but CurPay is already engineering utility today through simulation-backed models and commercially deployable security tools. It represents an emerging class of algorithms that we are working on to outperform classical ML in specific domains, especially those involving combinatorial optimization, pattern recognition in noisy data, or exploring nonlinear market behaviors.

As we develop QAVP we must build new tools. CurPay makes some of these amazing tools commercially available. For Example Quantum RNGs like CurPay’s QRNG provide stronger, unpredictable entropy sources that reduce the risk of predictable pseudorandom patterns. They are used throughout our technologies. For example, Neural networks initialize weights randomly to break symmetry. Without RNGs, every neuron would learn the same thing. We also use our QRNGs to prevent overfitting and random sampling of data batches.

CurPay's QRNG

CurPay utilizes 4 different QRNGs that leverage quantum computing, specifically, quantum randomness. Each one has its benefits and drawbacks which decide how it is being used. They all follow the same basic flow:

Each qubit starts in |0⟩ and is placed into superposition using the Hadamard gate (H).
The qubit is measured to collapse it into |0⟩ or |1⟩.
The measured bits are combined to form an integer.
The result is scaled to fit within a min and max.

CurPay's QRNG Comparison

Feature	1 Qubit	2 Qubits	Many Qubits	Quantum Phase Estimation
Qubits per bit	1	2 (entangled)	All Qubits in parallel	Many (control + target)
Bias mitigation	Modulo folding	Modulo folding	Rejection sampling	Inherent through interference
Parallelism	❌	❌	✅ Yes	⚠️ Complex controlled ops
Entanglement used	❌	✅ Bell pair	❌	✅ Deep entanglement network
Approach	Bitwise sampling	Entangled sampling	Vectorized sampling	Phase interference & QFT
Performance	Simple, linear	Slower, more secure	Fast, retry-based	Expensive (needs QFT)
Ideal for	Simple RNG tasks	More secure RNG	Uniform random int	Estimating precise amplitudes
Use case here	Toy-level	Bias-resistant	Entropy-Rich for cryptographic use	🧪 Precision-driven randomness

Where can CurPay's Quantum tools help you?

Authentication Systems
- Quantum-derived passwords or passphrases can seed multi-factor authentication workflows with enhanced randomness.
- Incorporate quantum GUIDs for secure session tokens or user identifiers that are harder to predict or duplicate.
Cryptographic Key Generation
- Use quantum-generated encryption keys (e.g., 256-bit or 4096-bit) as the foundation for encrypting sensitive data like API tokens, financial transactions, or database fields.
- Integrate with HSMs or key vaults by feeding quantum entropy into key creation modules.
Secure API Design
- Design APIs that fetch quantum random values for nonce or salt values in hashing operations, preventing predictable patterns in cryptographic functions.
- For PCI-DSS compliance, quantum-generated keys can reduce entropy concerns in key lifecycle audits.
Blockchain and Tokenization
- Quantum GUIDs or cards could power unique asset IDs or smart contract addresses in blockchain systems where uniqueness and unpredictability are vital.
Compliance and Audit-Readiness
- Maintain logs of quantum-entropy use in security-sensitive areas, showcasing cryptographically strong randomness in audit reports or compliance reviews.
Gaming
- Supercharge gaming with randomness that’s not just unpredictable, it's physically unknowable.
- Since quantum randomness can be logged and verified, it can act as a trust anchor.

CurPay's Practical Quantum Tools (REST API)

Below we have provided examples of some of CurPay’s tools that can benefit your organization: A password creator, card dealer, GUID generator, and encryption key generator, all aimed at demonstrating the utility of our QRNGs. These tools are for those looking to integrate into secure applications and workflows, especially those requiring strong entropy sources or cryptographic resilience. They are commercially available and provided by easy-to-use REST API Access. But note, currently quantum hardware is limited, sometimes running circuits can take minutes to hours to schedule time on cloud providers. CurPay will assist with setting up what works right for your organization.

Quantum Random Number Generator

Truly quantum-random Integer!
Produces a Quantum-Native binary with a classical computer interface
Choose from CurPay's QRNG type and Min and Max Range

CurPay's QRNG Type:
Min Value:
Max Value:

Random Number:

Quantum Card Deal

Truly quantum-random Card Shuffle!
Utilizes CurPay's 2-qubit QRNG
Uses rejection sampling to avoid modulo bias
Implements Fisher-Yates Shuffle in the Quantum Layer using quantum-generated indices.

Quantum Random Password

Generates high-entropy passwords using CurPay's multi-qubit QRNG.
It obtains all qubits in parallel.
Produces cryptographically hardened random bytes that are converted into ASCII DEC value using CurPay's propritary tools.

Length:

Truly Random Password:

Harden With PBKDF2:

Quantum GUID - RFC 4122 UUID

Leverages 256-bit entropy from CurPay’s multi-qubit QRNG.
Avoids modulo bias by using rejection sampling and entropy expansion.
Logs entropy source and timestamp for auditability.
Produces cryptographically hardened random bytes that are converted V4 UUID value using CurPay's propritary tools.

Truly Random GUID:

Quantum Encryption Key

Calls CurPay's Multi qubit QRNG repeatedly to collect 256-bit chunks.
Concatenates the results into the approriate-bit buffer.
Encodes the final output for use in encryption modules or HSMs.

Choose a Length:

Encryption Key:

CurPay's Quantum A-Life

This is our biologically inspired world with quantum-initialized creatures having dynamic behavior, neural processing, and DNA mutation. Since quantum hardware is limited, this demostration uses the azure quantum simulator. However it is a demonstration of the research that CurPay is working on using it's quantum/classical approach.

Creatures process inputs like energy, distance to target, food field vectors, edge proximity, other creatures, etc. Creatures will update their velocity via neural activation with quantum jitter. As they reproduce the offspring's brain mutates based on a quantum random DNA mutation rate. Parent creatures pass on successful skills for searching and hunting food (Mushrooms). There are 4 different types of creatures that combine evolutionary dynamics, quantum entropy, and behavioral feedback loops into a self-tuning autonomous entity. Creatures must eat or they cant reproduce and will die. Only the successfull creature linages will survive.

The creature's neural network (8 input, 2 output) uses quantum-derived randomness, giving it a uniquely entropy-rich initialization and mutation process. It’s a hybrid design blending classical structure with quantum-enhanced unpredictability.

Food in the form of a mushroom is quantum-random spawned (with entropy bias). It governs survival, movement, and reproduction. Food scarcity affects survival pressure and in the event that food runs low only the strongest, fastest or smartest creatures will survive.

Creatures carriy a mutable DNA object that shapes its neural and physical characteristics. They are created with DNA that have inheritable traits and behavioral parameters using quantum-derived randomness for initialization and tuned for quantum-aware population synthesis. It’s an expressive DNA system that allows for both stability and surprise, anchored by quantum entropy and rendered in a dynamic simulation space. Genes mutate by sampling from QRNG-based offsets—resulting in entropy-driven evolution. Over time, lineages may diverge into different behavioral “species” due to independent mutation paths (e.g. aggressors, wanderers, hoarders). Traits like "furyFactor"", neural weights, color and movement tendencies are inherited from parents with controlled quantum random variation.

The Mutation tree at the bottom displays a visualization of a family tree that tracks ancestry, generation, and mutation rates. Every node in the mutation tree logs generation, mutation rate, energy and health of creatures. It allows for tracing high-variance evolutionary bursts. Use your mouse wheel to zoom in and out.

Feel free to let this run in your browser. You can watch how the creatures learn and mutate into efficient hunters.

Open in a new window

Ready to Go Quantum?

From our Quantum ML innovations to our Quantum Tools, CurPay is building tomorrow’s technology today. Whether you're protecting your assets, securing keys, shuffling decks, or powering zero-knowledge authentication, our quantum-backed APIs are designed to plug into your existing systems—securely, scalably, and smartly.

The next era in computing is almost here. Are you building with it? Contact us today for more information or to learn more about bringing quantum computing into your world.

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