Q
Now Registering · Amaravati Quantum Valley · April 2026

Quantum-NativeAviation Intelligence

India's first quantum computing platform purpose-built for airlines. QUBO and QAOA algorithms solving the NP-hard optimization problems that cost the global aviation industry USD 15B+ annually.

Explore Platform Partner With Us
USD 15B+
Annual Aviation Optimization Gap
USD 25B+
Airline Optimization TAM by 2030
15+ Yrs
Airline AI Domain Experience
~$40M
Airline Revenue via Classical AI

The Problem

Airlines Face Four NP-Hard
Problems Every Single Day

Classical solvers achieve 60–75% of theoretical optimum — in isolation, per module. Cross-module interactions are structurally intractable for gradient-based methods. Twenty years of AI has not closed this gap.

🛫
Network & Fleet Planning
Assigning 100–500 aircraft across 500–5,000 city-pair routes is a MILP with 10150+ feasible states. Classical branch-and-bound finds local optima. The global optimum — and the billions it represents — remains computationally out of reach.
USD 8B+annual fleet sub-optimality
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Revenue Management
Pricing 26+ fare classes across millions of O&D pairs in real time, integrating ancillaries and NDC offers. Classical EMSRb and DP methods converge to local solutions — leaving 3–7% revenue on the table industry-wide.
USD 25B+RM sub-optimality (IATA)
👨‍✈️
Crew Pairing & Rostering
Assigning thousands of crew under 200+ DGCA/EASA/FAA regulatory, contractual, and fatigue constraints is a Set-Covering problem. Classical column generation achieves ~70% feasibility. Disruption recovery costs millions per event.
~$3Bannual crew disruption cost
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Distribution & Retailing
Static offer construction across GDS, NDC, and direct channels. No real-time attribute-based pricing adapting simultaneously across all channels. IATA mandates full NDC migration by 2026–2030 — a once-in-a-generation replacement window.
40%+of offers mis-priced by channel
All four share one trait: search spaces too vast for classical computation to solve optimally

The Platform

Three Quantum Products.
One Unified Platform.

QUBO formulations on D-Wave Advantage (5,000+ qubits) and QAOA circuits on IBM 133-qubit Heron — validated on the Amaravati Quantum Computing Centre (AQCC) testbed, independently benchmarked against classical solvers on every instance.

Product 01 · Phase 2 (2027)
QNetOpt
Quantum Network & Fleet Optimizer
Reformulates the airline route-fleet assignment problem as a QUBO instance solved on D-Wave Advantage. Binary decision variables encode aircraft-route-frequency assignments; the Ising Hamiltonian encodes revenue-minus-cost objective with slot, fleet, and demand constraints as penalty terms. Results benchmarked against CPLEX/Gurobi LP simultaneously on AQCC testbed.
Target: 15–25% optimality improvement over CPLEX/Gurobi. Each 1% = USD 15–50M annual value for a Tier-1 airline.
QUBOD-Wave AdvantageQuantum AnnealingFleet AssignmentNetwork Planning
HUB QUANTUM OPTIMAL PATH
Product 02 · Phase 3 (2028)
QRevMax
Quantum Revenue Management Engine
Applies QAOA circuits on IBM 133-qubit Heron to dynamic fare class availability and ancillary pricing. The RM problem is reformulated as quadratic optimization over bid-price thresholds — a natural QUBO. Full IATA NDC API 21.3 integration (AirShopping, ServiceList, SeatAvailability, OrderCreate, OrderChange) enables direct injection of quantum-optimized pricing into airline PSS and NDC retailing engines.
Target: 3–7% revenue uplift over EMSRb. Built on 7+ years direct RM and NDC product experience in Gulf airline technology.
QAOAIBM 133-qubit HeronIATA NDC 21.3Dynamic PricingAncillary Optimization
NDC 21.3 QUANTUM YIELD SURFACE
Product 03 · Phase 4 (2029)
QCrewX
Quantum Crew Optimization Platform
Models crew pairing as a Set-Covering QUBO problem and rostering as constraint-satisfaction on quantum hardware. The crew disruption recovery use case — assigning available crew to disrupted flights in real time — is a particularly strong near-term quantum use case given its time-criticality and extreme constraint density (200+ rules per airline).
Target: 10–20% reduction in deadhead costs and overtime versus classical heuristic column generation. Target fleet: 50+ aircraft.
Set-Covering QUBOD-Wave AdvantageCrew PairingDisruption Recovery
DISRUPTED QUANTUM RECOVERY

Architecture

Three-Layer Quantum-Classical
Hybrid Stack

Operational reliability through classical fallback at every layer. Quantum advantage independently validated on AQCC testbed, Amaravati Quantum Valley.

Layer 1
Classical Pre-Processing
Python 3.11+, FastAPI, PostgreSQL 16, Redis, Kafka — OAG schedule feeds, PNR/booking data, PSS inventory ingested via REST APIs. QUBO matrix construction, Ising Hamiltonian encoding, simultaneous classical LP/MILP baseline for quantum advantage measurement.
Classical Encode
Layer 2
Quantum Solver
D-Wave Advantage (5,000+ qubits) — QNetOpt/QCrewX annealing · IBM 133-qubit Heron — QRevMax QAOA circuits · AQCC Testbed (Amaravati 1S/1Q) — independent benchmarking · PennyLane — hybrid circuit development. Quantum tunneling enables global energy landscape search.
Quantum Solve
Layer 3
Distribution & Output
IATA NDC API 21.3 (AirShopping, ServiceList, SeatAvailability, OrderCreate, OrderChange) · Amadeus Altea CM, Sabre SynXis, IBS iFly · AWS India + Azure India Central · Feasibility verification, constraint validation, airline-actionable delivery.
Distribute

IATA NDC 21.3 — QRevMax Distribution Integration

NDC Message Function QSpaceX Enhancement
AirShopping RQ/RS Offer construction & real-time pricing Quantum-optimized offer mix + ancillary bundle pricing
ServiceList Ancillary catalogue & availability Dynamic quantum pricing overlay per O&D pair
SeatAvailability Seat map & cabin pricing Quantum yield management per flight-date
OrderCreate / OrderChange Booking & modification lifecycle Quantum-informed real-time repricing on modification

Market Opportunity

A USD 25B+ Market With
No Quantum Incumbent

QSpaceX enters a verified first-mover white space. No quantum company has built an aviation-domain-specific optimization product with integrated NDC distribution. The competitive moat is 3–5 years wide.

USD 10.4B
Global Airline IT Market (2025)
Growing at 8.5% CAGR. Primary enterprise SaaS channel for all three QSpaceX products.
USD 7B
India Quantum Market (2032E)
USD 1B today → USD 7B by 2032 at 27%+ CAGR. AP QC Policy 2025–30 targets USD 1B into AQV alone.
25–40
Target Airlines (SAM)
MENA, Indian subcontinent, and SE Asia airlines with 10+ narrow-body aircraft and IT spend > USD 50M p.a.
USD 15B+
Annual Optimization Gap
Structural inefficiency classical AI has not closed in 20+ years — QSpaceX's primary commercial opportunity.
Entry Barriers QSpaceX Possesses
Airline domain depth (15+ yr, Sr. PM/Director level)Very High
IIT Madras Engineering Physics — quantum algorithm foundationVery High
IATA NDC API 21.3 — full stack (v17.2 → v21.3)Very High
Commercial airline network (80+ senior contacts, Gulf + India)High
AQCC testbed + IBM 133-qubit Heron access (via AQV)High
First-mover — no Indian quantum aviation competitorVery High
Patent-first IP (domestic + PCT) — filing 2026Building
Peer-reviewed research (JRPM publication)High

Ecosystem

Built Inside India's
First Quantum Valley

QSpaceX is incorporating as a founding startup within Amaravati Quantum Valley (AQV) — India's first quantum technology park, backed by the Government of Andhra Pradesh under AP Quantum Computing Policy 2025–30 (G.O.Ms.No.54).

AQV provides what no other Indian ecosystem offers: an indigenous quantum testbed, IBM 133-qubit Heron access via GoAP-IBM MoU, an academic consortium, and the AQV Resident Startup credential that opens Gulf sovereign wealth fund introductions.

⚛️
AQCC Testbed
Amaravati 1S/1Q — India's largest open quantum testbed (QChipIN). QSpaceX's primary algorithm validation platform.
🔬
IBM 133-qubit Heron
Gate-model QPU via GoAP-IBM MoU (G.O.Ms.No.17). QAOA circuits for QRevMax validated here.
🎓
Academic Consortium
IIT Tirupati, SRM-AP, JNTU-K for quantum talent, joint publications, and NQM grant applications.
🌏
Gulf Investor Access
AQV Resident Startup credential enables direct introductions to ADIA, Mubadala, and QIA quantum desks.

Roadmap

Four Phases to Global
Quantum Aviation Leadership

Q2
2026
Phase 1
Foundation
  • Incorporate — World Quantum Day
  • AQV workspace + AQCC MoU
  • Hire 3 FTEs (Quantum + Backend)
  • QNetOpt QUBO formulation
  • 2 domestic patent filings
  • AQV Startup Grant (₹30L)
2027
Phase 2
POC & Quantum Advantage
  • QNetOpt v0.1 on AQCC testbed
  • 15–25% optimality over CPLEX
  • 1–2 Gulf airline pilot contracts
  • Series A: ₹15–25 Crores
  • NDC 21.3 integration live
  • 2 PCT international patents
2028
Phase 3
SaaS Launch
  • QNetOpt SaaS: 3–5 airlines
  • QRevMax full NDC deployment
  • ₹4 Cr ARR target
  • Team → 20–25 FTEs
  • Gulf SWF investor close
  • QCrewX development begins
2029
Phase 4
Scale
  • QCrewX commercial launch
  • 6–10 global airline clients
  • ₹11 Cr ARR target
  • Team → 40–60 FTEs
  • Series B: ₹30–50 Crores
  • Dubai / Doha office

The Credentials

Credentials That
Cannot Be Assembled Overnight

The rarest combination in deep tech: premier engineering pedigree, 15+ years of senior airline AI domain depth, peer-reviewed research, and a commercial pipeline ready to convert — built at the world's leading Gulf aviation technology organisations.

🎓
Academic Foundation
Quantum Algorithm Capability
IIT Madras Engineering Physics — IIT-JEE top 0.1% nationally. The precise academic discipline for QUBO formulation and QAOA circuit design: quantum mechanics, Hamiltonian formulations, linear algebra, variational methods, and operations research. Supplemented by executive education in AI at a leading international business school. Peer-reviewed publication in airline dynamic pricing (JRPM).
IIT MadrasEngineering PhysicsQUBO / QAOAOperations ResearchJRPM Published
✈️
Airline Domain Depth
15+ Years · Gulf Aviation Technology
15+ years of senior product management across Gulf airline AI — revenue management, network optimization, dynamic pricing, crew management, and NDC/Offer-Order distribution. Built and commercialized AI products generating tens of millions of dollars in incremental airline revenue. Direct senior relationships with 80+ decision-makers across Gulf and Indian carriers — the commercial pipeline for QSpaceX's paid pilots.
Revenue ManagementNetwork OptimizationNDC 21.380+ Airline ContactsGulf Carriers
⚛️
Quantum Engineering
Phase 1 Hires · Q2–Q3 2026
3 FTEs in Phase 1: 2 Quantum Algorithm Engineers (Qiskit/Ocean SDK, QUBO/QAOA) + 1 Backend Engineer (FastAPI, PostgreSQL, AWS). Sourced from IIT Tirupati Quantum Computing group, JNTU-Kakinada, SRM-AP — 70%+ Andhra Pradesh domicile. Growing to 40–60 FTEs by 2029 via AQV's 2.5 lakh quantum-trained student pipeline.
IIT TirupatiJNTU-KSRM-APAQV Skilling Pool70%+ AP Domicile
~$40M
Airline Deals Won
15+ Yrs
Airline AI Domain
IIT Madras
Engineering Physics
80+
Airline Senior Contacts

Get in Touch

Partner With India's First
Quantum Aviation Platform

We are actively seeking airline technology partnerships for paid pilots, quantum research collaborations, and strategic investors aligned with the Gulf and Indian aviation market opportunity.

✉
Primary Email
admin@qspacex.ai
🌐
📍
Location
Amaravati Quantum Valley, Amaravati,
Andhra Pradesh — 522503, India
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General Enquiries
admin@qspacex.ai
🏛️
Policy / Investment
AP Quantum Computing Policy 2025–30
G.O.Ms.No.54 · APEDB · AQV
Ready to fly quantum?
Whether you're an airline exploring quantum pilots, a quantum researcher, or an investor in the Gulf-India aviation corridor — let's talk.
Airline Pilots Investor Enquiry Research Collaboration AQV Partnership NDC Integration
Send a Message
admin@qspacex.ai