⚛️ Quantum Applications (Experimental) (Enterprise Exploration & PQC)

1. Service Overview & Scope

• Enterprise Quantum Feasibility Assessment:
  • Objectively evaluating whether combinatorial optimization, portfolio risk modeling, logistics, chemistry, or machine learning problems can benefit from quantum computation.
  • Separating commercial reality from industry hype: providing clear mathematical timelines and threshold qubit requirements for quantum advantage.
  • Formulating hybrid quantum-classical algorithms (VQE, QAOA) tailored to specific corporate business challenges.
• Quantum Circuit Prototyping & Simulation:
  • Developing verified quantum circuits and variational algorithms using IBM Qiskit and PennyLane.
  • Running simulations across noisy intermediate-scale quantum (NISQ) models, assessing circuit depth, gate error rates, and statevector fidelity.
  • Hybrid Quantum Machine Learning (QML) prototypes linking classical PyTorch neural networks with parameterized quantum circuits.
• Post-Quantum Cryptography (PQC) Readiness:
  • Auditing existing enterprise encryption (RSA, ECC) against quantum threats and Harvest Now, Decrypt Later risks.
  • Developing strategic migration roadmaps adhering to NIST post-quantum standards (ML-KEM, ML-DSA, SLH-DSA).

2. Standard Architecture & Tools

• Quantum SDKs & Frameworks:
  • IBM Qiskit 1.x (Primitives, Transpiler, Runtime Service), Xanadu PennyLane, and Quantinuum stacks.
  • Qiskit Aer GPU simulator and PennyLane lightning statevector backends.
• Classical-Quantum Hybrid Stack:
  • PyTorch / PennyLane QNode bindings, SciPy optimizers (COBYLA, SPSA, Adam).
  • Executable Jupyter notebooks and verified Python scripts with reproducible circuit diagrams.
• Post-Quantum Security Tools:
  • Open Quantum Safe (liboqs), NIST PQC reference algorithms, and OpenSSL 3.x PQC provider configurations.

3. Deliverable Examples

1. Executive Quantum Feasibility Study:
   • Rigorous technical report analyzing your business use cases, mathematical formulations, and timeline to quantum advantage.
2. Verified Quantum Circuit Demonstration & Sample Code Guide:
   • Tested Python sample code guides with executable Jupyter notebooks modeling variational circuits, gate-depth optimizations, and educational simulation benchmarks.
3. Enterprise Post-Quantum Migration Blueprint:
   • Step-by-step cryptographic transition roadmap identifying vulnerable data assets and prioritizing PQC implementation.

4. Guarantees & Commitments

• Mathematically Grounded Advisory: Zero speculative hype: 100% objective, mathematically rigorous evaluations grounded in current quantum hardware capabilities.
• Reproducible Simulation Code: All quantum algorithms and circuit benchmarks are verified in reproducible Python demonstration environments.
• 30-Day Technical Post-Delivery Training Support: Dedicated async support for engineering and cryptographic learning questions following deliverable handover.

5. Investment & Pricing Quote

1. Base Investment Range: $2,000 – $4,500 USD (per advisory assessment or circuit proof-of-concept).
2. Purchasing Power Parity (PPP) & Custom Pricing Tiers:
   • Adjustments available via Purchasing Power Parity (Tier 1: 100%, Tier 2: 75%, Tier 3: 50%). Tier 4 startup discount (50%) and Tier 5 custom pricing available on request for non-profits, educational institutions, and bootstrapped startups. Inquire during intake.
3. Payment Schedule:
   • 50% upfront milestone initialization / 50% upon completed delivery, runtime verification, and client sign-off.