The future of computing is now
Inventing What's Next
Æ Hive Research is helping solve problems at the frontier of science with quantum-centric optimization — from hybrid combinatorial optimization and quantum multipath bonding to dynamic yield pricing, point-in-time actuarial feature serving, and NP-hard organ logistics.
Hybrid Quantum Optimization: Combinatorial Optimization Problem
Three-layer hybrid architecture — NISQ QAOA sampling, classical refinement, and SMT/Z3 formal verification for NP-hard routing, scheduling, and allocation.
Opti Mesh 1.0 — Hybrid Quantum Optimization Laboratory Console
Zenodo archive — Hybrid Quantum Optimization report
Mike S. — Main Author, Research Programmer & Scientist
Author portfolio for Mike Swain — Hybrid Quantum Optimization, Opti Mesh 1.0, Taurnet 1.0, Quantum Multipath Bonding, Dynamic Yield Pricing, Feat Mesh 1.0, FEATSRV, Organ Mesh 1.0, and open Zenodo archives.
Quantum Multipath Bonding: MPTCP, QKD, and Hybrid Traffic Intelligence
Bond satellite, cellular, and fiber paths with hybrid QKD/PQC security and laboratory Bell-state traffic intelligence for maritime, mining, and enterprise continuity.
Taurnet 1.0 — Quantum Multipath Bonding Laboratory Console
Dynamic Yield Pricing: Real-Time Yield Management for Laser Cleaning Equipment Leasing
Airline-style yield management for equipment fleets — RL elasticity, SDP contracts, and spot auctions. Projected +29.6% revenue and +16 pp utilisation.
Yield Mesh 1.0 — Dynamic Yield Pricing Partner Console
Operator surfaces for live fleet yield management
FEATSRV: Point-in-Time Correct Feature Serving for Insurance Without Data Leakage
Leakage-free SCD Type 2 as-of joins with Feast, Redis, PySpark, and FastAPI — plus the Nimbus actuarial benchmark.
Feat Mesh 1.0 — Point-in-Time Feature Serving Console
Data lineage from Parquet sources through PIT store to actuarial models
StochVRP-Mesh: Stochastic Prediction and NP-Hard Routing for Time-Critical Organ Transplant Logistics
Quantile-regression dwell/travel prediction fused with classical VRPTW and QAOA pathfinding under ischaemic cold-chain deadlines.
Organ Mesh 1.0 — Advanced Prediction Console for Organ Logistics
Classical VRPTW ischaemic time windows across organ types
Open access archive — Dynamic Yield Pricing report on Zenodo
Tools + Code
Mike S. · Author portfolio
Main Author, Research Programmer & Scientist — papers, APIs, blogging, ORCID, LinkedIn, GitHub.
View project →Maer Marine · Live
Sign-in and marine data intelligence live capture experience — AIS / fleet continuity on maer-marine.q-dit.com.
View project →Combinatorial Optimization
Hybrid Quantum Optimization — NISQ QAOA, classical refinement, and Z3 verification.
View project →Opti Mesh 1.0
Hybrid quantum optimization laboratory console — QAOA, refine, and z3 verify via /api/optimesh.
View project →Dynamic Yield Pricing
Arkham yield management — RL elasticity, SDP contracts, and spot auctions for laser-cleaning fleets.
View project →Yield Mesh 1.0
Live partner console — offerings, sales, on-call jobs, customers, and fleet inventory via /api/dynprix.
View project →FEATSRV · Point-in-Time
Leakage-free actuarial feature store — Feast, Redis, PySpark, FastAPI, and Nimbus SCD Type 2 packs.
View project →Feat Mesh 1.0
Live feature console — online Redis lookups, PIT training, leakage audits, and feature importance.
View project →Organ Mesh 1.0
Live prediction console — dwell, travel, and locker diversion with cold-chain risk synthesis from the organos research stack.
View project →StochVRP-Mesh Research
NP-hard organ transplant logistics — quantile models, classical VRPTW, and QAOA pathfinding.
View project →Zenodo Archive
Open-access Dynamic Yield Pricing report doi:10.5281/zenodo.21873050 — Mike Swain · AE Database & Quantum R&D Center.
View project →