# Vyapti Resonance — Map of Content A map of **Vyapti Resonance Pvt. Ltd.** — a Hyderabad-based deep-tech startup building *continuous behavioural-trust and quantum-aware security observability* for a post-quantum world. This note threads together the company's core IP (the research), its two products, the go-to-market, and the commercials, and links each idea back into the wider [[Quantum Computing MOC|quantum]] and [[Investing System MoC|investing]] maps. Start anywhere and follow the wikilinks. > [!abstract] How to read this map > The story stacks into four layers. There is a **thesis** (PQC secures the tunnel but not the entity holding the keys); a **research core** (symmetry-aware [[Quantum Machine Learning|VQC]] anomaly detection — the actual IP); two **products** that operationalise it ([[#3 · The two core systems|QSP and STG]]); and a **go-to-market** (Qatar-first BFSI). Read top-to-bottom for the narrative, or jump to [[#6 · Source library]] for the primary documents. > [!info] At a glance > - **What** — A behavioural trust engine + quantum-aware security observability layer that runs *alongside* Post-Quantum Cryptography (PQC), not instead of it. > - **Core systems** — **QSP** (Quantum Security Probe): telemetry + anomaly detection. **STG** (Sentient TrustGraph): continuous behavioural authentication. > - **IP** — Symmetry-aware anomaly detection using [[Quantum Machine Learning|Variational Quantum Classifiers]] (PennyLane / Cirq / Qiskit), validated on real IBM quantum hardware. > - **Market** — BFSI + crypto wallets, Middle East first (Qatar / GCC under QNV 2030), then Southeast Asia and the Global South. > - **Stage** — Pilot-ready; ~$85k burned, raising ~$180k of a $265k seed. Founder: **Vijay Krishna Somaraju**. --- ## 1 · The thesis — the post-quantum blindspot The world is spending billions migrating to [[Post-Quantum Cryptography]] (PQC). Vyapti's argument is that this only fixes **half** the threat surface. > [!quote] The core insight > "PQC secures the mathematical tunnel, but it fundamentally ignores the **behavioural integrity of the entity holding the keys.**" If an attacker steals a session token or API key, the cryptography will *perfectly validate* the unauthorised transaction. The missing layer is **continuous, observable trust**: prove integrity in real time through measurable signals, rather than assuming it after a one-time cryptographic check. This is a [[Why Quantum|quantum-era]] reframing of Zero Trust (NIST SP 800-207) — see [[#5 · How it works|behavioural metrics]] for the mechanism. - Threat framing: **"Harvest Now, Decrypt Later" (HNDL)** — nation-states exfiltrate encrypted data today to break later. - Compliance pressure: RBI, NIS2, Basel IV, CMMC deadlines 12–36 months out. - Positioning relative to the field → [[Likely road to Quantum Value]] · [[Quantum Use Cases MoC]] ## 2 · The research core (the IP) The defensible IP is a body of [[Quantum Machine Learning]] research by founder **Vijay Krishna Somaraju** on detecting *symmetry-breaking anomalies* with shallow [[Quantum Convolutional Neural Networks|variational quantum circuits]] — the same primitive QSP-Quantum productises. See [[#4 · The science behind QSP-Quantum]] for detail. > [!example] The three papers, in one line each > - **PennyLane VQC + Grover** — hybrid pipeline: [[Grover's Algorithm]] amplification feeding a VQC classifier for anomaly detection in PQC protocol graphs. > - **Cirq VQC** — symmetry-aware anomaly detection on PQC flows (e.g. CRYSTALS-Kyber); RY-encoded features, CNOT entanglement, parameter-shift training. > - **Multi-Framework Z₂ Symmetry (QCE25)** — learning [[Z2 Symmetry|Z₂ symmetries]] in Hamiltonians across PennyLane / Cirq / Qiskit; up to **0.95 AUC / 80% accuracy**, validated on real IBM hardware. This connects to the broader idea that a QPU is an accelerator, not a rival — see [[Hybrid Quantum-Classical Computing]]. ## 3 · The two core systems The architecture sits *alongside and immediately behind* existing PQC frameworks, turning static authentication into continuous, observable trust. > [!note] QSP — Quantum Security Probe > A lightweight, low-memory **sidecar proxy** deployed on critical nodes (API gateways, 5G routing nodes, IoT edge servers). It monitors *telemetry entropy* and triggers a localised kill-switch on "Entropy Starvation" (the rigid, zero-variance signature of an automated/replayed session). > - **QSP-Core** — converts low-level signals into structured trust metrics (workflow symmetry, timing across accelerators, memory/DMA patterns, RNG entropy health). > - **QSP-Assure** — assurance/governance layer: explainable trust scores, signed trust registers, SOC/SIEM integration, verifiable attestations, compliance reporting. > [!note] STG — Sentient TrustGraph > A dynamic, **behavioural IAM** platform. It maps the historical rhythm and interaction cadence of authorised agents so behaviour must match cryptographic identity in real time. > - Behavioural verification replacing static puzzles / CAPTCHA (cursor, scroll, interaction-timing fingerprinting). > - Composable into n-way MFA; integration-ready with PQC identity (lattice-based / Learning With Errors). | Variant | Name | What it is | |---|---|---| | QSP-1 | **Sentinel** | Edge symmetry probe — stateless, minimal footprint; Z-score + coefficient-of-variation invariance to flag timing asymmetry & drift. | | QSP-2 | **Assure** | PQC validation + continuous trust scoring for CISOs; trust-evolution model `T(t) = f(S, P, C, E)`. | | QSP-3 | **Quantum** | Quantum-native inference using [[Quantum Convolutional Neural Networks\|VQCs]] (Qiskit / Cirq / PennyLane) for anomaly classification. | | QSP-4 | **Observatory** | Open research platform — the Cryptographic Drift Observatory (CDO) model for academic collaboration. | ## 4 · The science behind QSP-Quantum > [!tip] Why VQCs for anomaly detection > Classical detectors miss *subtle symmetries* in protocol behaviour. A [[Quantum Machine Learning|variational quantum classifier]] encodes telemetry features (message size, entropy, timing) into quantum states (RY rotations), entangles them (CNOT layers), and trains a parameterised block to separate "symmetric/normal" from "symmetry-broken/anomalous" — the **Symmetry Drift** and **Parity Instability** signals QSP watches in production. - Hybrid pipeline = classical telemetry → quantum-assisted decision layer; a concrete instance of [[Hybrid Quantum-Classical Computing]]. - Sits in the [[Quantum Use Cases MoC|use-case landscape]] alongside [[AI with Quantum Elements]] and [[Quantum Algorithms|Grover-style search]]. - Papers (embedded in [[#6 · Source library]]) provide datasets, training logs, confusion matrices and IBM Composer runs for reproducibility. ## 5 · How it works (signals & threats) QSP is a **continuous behavioural-trust engine**, not a signature-matching IDS. It measures *non-payload* invariants: - **Timing Invariance** — deviation from expected request–response timing - **Coefficient of Variation (CV)** — statistical dispersion in packet timing - **Time-To-First-Byte (TTFB)** — early-phase latency anomalies - **Symmetry Drift** — deviation from expected [[Z2 Symmetry|Z₂ symmetry]] - **Parity Instability** — inconsistency in parity-based invariants - **Rhythm Deviation** & **Cross-Node Imbalance** — temporal/distributed coherence breaks > [!warning] Threat classes detected > MITM · replay · session hijacking · quantum-enabled probing · HNDL reconnaissance · PQC-migration failures — caught by behaviour even when the cryptography validates. ## 6 · Go-to-market & commercials > [!info] Qatar-first GTM (M1.8 brief, May 2026) > - **Wedge** — outsourced security model: API integration removes the 3–5 year R&D catch-up cost (the CrowdStrike / Cisco-VPN paradigm). > - **14-day null-hypothesis pilot** — prove value against the existing stack inside a sandbox. > - **Target A** — Critical infrastructure & finance: Qatar National Bank, Ooredoo (per-audit + per-node QSP licensing). > - **Target B** — Private wealth / sovereign wealth funds: STG removes CAPTCHA friction for HNWI portals. - Market context → [[Quantum Market Sizes]] ($9.5B PQC market by 2030, ~39% CAGR per the DPR). ## Concept map ```mermaid graph TD THESIS[Post-Quantum Blindspot] --> PQC[Post-Quantum Cryptography] THESIS --> TRUST[Continuous Observable Trust] TRUST --> QSP[Quantum Security Probe] TRUST --> STG[Sentient TrustGraph] QSP --> CORE[QSP-Core: telemetry] QSP --> ASSURE[QSP-Assure: governance] QSP --> FAMILY[Sentinel / Assure / Quantum / Observatory] FAMILY --> VQC[Variational Quantum Classifier] VQC --> QML[Quantum Machine Learning] VQC --> Z2[Z2 Symmetry] VQC --> GROVER[Grover's Algorithm] VQC --> HYB[Hybrid Quantum-Classical Computing] STG --> IAM[Behavioural IAM / anti-CAPTCHA] QSP --> GTM[Qatar-first BFSI GTM] STG --> GTM GTM --> MKT[Quantum Market Sizes] class QML,Z2,GROVER,HYB,MKT internal-link; ``` > [!tip] One sentence that connects everything > Vyapti Resonance turns founder **Vijay Krishna Somaraju's** [[Quantum Machine Learning|VQC]] research on detecting [[Z2 Symmetry|symmetry-breaking]] anomalies into two products — [[#3 · The two core systems|QSP and STG]] — that add a *continuous behavioural-trust* layer on top of [[Post-Quantum Cryptography]], sold Qatar-first into [[Quantum Market Sizes|the fast-growing BFSI PQC market]] as a [[Hybrid Quantum-Classical Computing|hybrid quantum-classical]] security service. --- Tags: #quantum #quantum-security #post-quantum #company Links: [[Quantum Computing MOC]] · [[Quantum Tech MOC]] · [[Quantum Use Cases MoC]] · [[Investing System MoC]]