What Does the Project Do & What Are Realistic Expectations?
An interactive structural guide to the Quantum-AI Cybersecurity Simulator: tracking how macroeconomic risk signals, machine learning threat gates, and combinatorial solvers select post-quantum cryptographic configurations.
01The 4-Stage Decision Architecture
Click any stage card to inspect its mathematical formulation, live vector diagram, and governing role.
Market Index:Monitored 30-day volatility index readingsCalm Floor:Historical baseline calibration for stable market conditionsStress Ceiling:Crisis threshold ceiling from systemic stress regimesActivation Gate:Triggers multi-objective combinatorial solver exploration
Market volatility series and macroeconomic telemetry
Determines whether enterprise security gates trigger quantum combinatorial exploration or maintain baseline classical defenses.
02Realistic Expectations vs. Quantum Hype
Clear, transparent boundaries separating legitimate scientific research utility from marketing exaggerations.
What the Simulator Truly Does
Combinatorial Policy Modeling
Formulates complex trade-offs between post-quantum security gain and latency / compatibility friction as a 3-qubit Ising spin-glass Hamiltonian.
QAOA Algorithmic Exploration
Simulates parameterized quantum circuit optimization (angles γ, β) with p=1 ansatz, measuring ground state probability against exact brute-force ground truth.
Adaptive PQC Migration Dynamics
Models how macroeconomic crisis signals (volatility spikes, inflation) shift the optimal defensive balance across Kyber KEM, Dilithium signatures, and TLS 1.3.
Bit-Level Scientific Reproducibility
Every round is strictly reproducible using seeded perturbations, SHA-256 evidence hashing, replay lineage (parent_run_id), and bundle validation (v2.0 & v2.1).
What It Does NOT Claim
NO Quantum Supremacy or Speedup
With only 8 states (2³), classical brute-force enumeration evaluates all combinations in microseconds. QAOA is modeled to study mechanics, not to beat classical servers.
NO Live Infrastructure Cipher Deployment
The simulator outputs modeled policy decisions—it does not inject kernel drivers, reconfigure live OpenSSL proxies, or issue hardware security module certificates.
NO Live Network Packet Ingestion
Operates on curated macro financial benchmarks and 100-sample synthetic incident datasets. It does not sniff raw network PCAP or ingest production firewall SIEM logs.
NO Cryptanalytic Key Cracking
Does not crack real RSA or ECC keys using Shor's algorithm. It studies forward-looking defensive selection under hypothetical quantum risk scenarios.
03Tri-Modal Operational Architecture
Comparing the three available policy selection approaches under identical round conditions.
Deterministic if/then threshold gates evaluate classifier accuracy, volatility, and inflation without combinatorial solver execution.
Constructs a 3-qubit Ising problem Hamiltonian; triggers whenever stress gates detect elevated threat, optimizing parameterized quantum circuits.
Employs QAOA during calm operational windows to explore synergistic configurations; smoothly reverts to deterministic backup rules during crisis stress.
04Interactive 3-Qubit QUBO State Space
The QAOA optimization algorithm searches over 2³ = 8 binary configurations of (Kyber, Dilithium, TLS).
CRYSTALS-Kyber KEM
Post-quantum lattice key encapsulation protecting session confidentiality.
CRYSTALS-Dilithium
Post-quantum digital signatures for tamper-proof identity and auth.
Classical TLS 1.3
Standard transport layer security for legacy client compatibility.
Active Preset Strategy: Balanced
Balanced trade-off between legacy compatibility and PQC adoption incentives.
Test These Principles in the Simulator
Directly load calibrated scenarios. URL query parameters will automatically initialize matching weights, thresholds, and market sources.