dsf-quantum-sdk 2.0.1

Lightweight SDK for DSF Quantum Adaptive Scoring with IBM Quantum support

DSF Quantum API

Quantum-Enabled Scoring Engine for Enterprise Decision Workflows

Hybrid classical-quantum scoring platform validated on real IBM Quantum hardware. Accelerates multi-factor decision evaluation with quantum-enhanced evaluation.

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🚀 Why Quantum-Enabled Scoring?

Classical scoring functions can miss non-linear patterns in complex decision spaces. DSF Quantum Scoring leverages hybrid quantum-classical techniques to:

• Quantum-enhanced evaluation under realistic noise conditions
• Compare quantum-enhanced vs classical evaluation pathways
• Accelerate multi-factor decision workflows
• Enable quantum-ready scoring infrastructure

Designed for: Enterprise innovation teams, advanced analytics, and decision intelligence pipelines.

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📊 Use Cases

Financial Services

• Credit evaluation workflows
• Risk assessment enhancement
• Portfolio quality analysis
• Multi-factor decision acceleration

Insurance

• Policy evaluation
• Claims assessment workflows
• Risk stratification
• Underwriting support

Enterprise Risk

• Vendor scoring
• Third-party evaluation
• Decision workflow optimization
• Compliance-ready assessment

Healthcare & Life Sciences

• Patient risk stratification
• Care prioritization workflows
• Resource allocation optimization
• Clinical decision support

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💼 Pricing Tiers

Tier	Evaluations/Hour	Support	Price
Community	100	Email	Contact
Professional	1,000	Email	Contact
Enterprise	Custom	Dedicated	Custom

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🔧 Quick Start

from dsf_quantum_sdk import QuantumSDK

scorer = QuantumScoring(
    api_key="your_api_key",
    license_key="your_license_key",
    tier="professional"
)


result = scorer.evaluate(
    factors=[0.85, 0.62, 0.71, 0.91],     
    weights=[1.2, 0.8, 1.5, 1.0],          
    impact_factors=[1.0, 1.3, 0.9, 1.1]    
)

print(f"Quantum-Enhanced Score: {result['quantum_score']}")
print(f"Classical Baseline: {result['classical_score']}")
print(f"Signal Quality: {result['degradation']}")

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🎯 Platform Capabilities

Hybrid Quantum-Classical Architecture:
Validated scoring function with configurable backends

Real Hardware Validation:
Executes on IBM Quantum processors (ibm_brisbane, ibm_torino)

Enterprise Integration:
REST API designed for pipeline integration

Quantum-Enhanced Evaluation:
Non-linear pattern detection under realistic noise conditions

Benchmark-Ready:
Parallel classical evaluation for comparative analysis

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🏢 Enterprise Features

Production Integration:
Production integration available upon completion of client validation and model governance workflows

Flexible Deployment:
Hardware backends configurable per use case

Enterprise Support:
Dedicated integration assistance available

Hybrid Workflows:
Classical fallback with quantum acceleration options

PoC-Ready:
Enterprise proof-of-concept programs available

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🔒 Security

• API key authentication
• Encrypted data transport
• License enforcement per tier
• NDA available for technical specifications
• Enterprise security review support

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📊 Performance Characteristics

Validated on Real Quantum Hardware:
Tested on IBM Quantum production systems

Hybrid Evaluation:
Quantum-enhanced scoring with classical comparison

Configurable Backends:
Support for multiple quantum processors

Signal Quality Metrics:
Noise-aware evaluation with quality indicators

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📞 Get Started

Request Technical Documentation:
Full API specifications available under NDA
Contact: Technical Docs

Schedule Enterprise Demo:
30-minute consultation with your data
Contact: Enterprise Demo

Proof-of-Concept Program:
Enterprise PoC with integration support
Contact: PoC Program

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📚 Resources

• Integration Guide (requires NDA)
• Benchmark Studies
• Hardware Validation Data
• Enterprise Case Studies

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🔬 Built on Validated Research

Scoring engine validated on IBM Quantum hardware with documented experimental results. Suitable for:

• Enterprise innovation initiatives
• Advanced analytics workflows
• Decision intelligence enhancement
• Quantum-ready infrastructure development

Production integration available upon completion of client validation and model governance workflows.

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📋 Credits

Technology Architect: Jaime Alexander Jimenez

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