Navigate the research tipping point for hybrid quantum optimization, connectivity, and yield
Muskan Sharma — Main Researcher, Research Programmer, and Scientist at Data-T — leads Hybrid Quantum Optimization / Argo Mesh 1.0, Quantum Multipath Bonding / Taurnet 1.0, Dynamic Yield Pricing / Yield Mesh 1.0, and FEATSRV / FeatLock 1.0: open papers, technical blogging, and production-ready APIs.
Muskan Sharma
Main Researcher · Research Programmer · Scientist · Data-T Quantum & Actuarial Research
Designs and ships end-to-end research systems — from hybrid quantum combinatorial optimization and multipath bonding to yield-management infrastructure and temporal feature theory — so industry models train, price, route, and serve on leakage-free and market-clearing definitions.
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Latest work
Complete programme for Muskan Sharma — research papers, technical blogging, APIs, and GitHub projects — newest first.
Hybrid Quantum Optimization — combinatorial optimization problem
Three-layer hybrid architecture — NISQ QAOA sampling, classical refinement, and formal SMT verification for NP-hard routing, scheduling, and resource allocation.
Argo Mesh 1.0 — live optimization console for overview, z3 proof, and QPU history
Zenodo archive — doi:10.5281/zenodo.22765909 · Hybrid Quantum Optimization
AgroSea programme board — hybrid quantum research programming and lab delivery
Three-layer stack — sampling, refinement, and verification for combinatorial problems
Quantum Multipath Bonding — MPTCP, QKD, and hybrid traffic intelligence
Four-plane architecture bonding Multipath TCP transport, hybrid QKD/PQC security, and Bell-state path optimisation for maritime, remote, and enterprise connectivity.
Taurnet 1.0 — live bonding console for sessions, path optimisation, and BB84 protection
Zenodo archive — doi:10.5281/zenodo.22219465 · Quantum Multipath Bonding
Four-plane stack — data, control, security, and intelligence for bonded paths
Dynamic Yield Pricing — real-time yield management for equipment rentals
Infrastructure and research programming for Arkham / Yield Mesh — RL elasticity, SDP contracts, spot auctions, and projected +29.6% fleet revenue versus static rates.
Yield Mesh 1.0 — live pricing console for quote, book, track, and release
Zenodo archive — doi:10.5281/zenodo.21873050 · Dynamic Yield Pricing
FEATSRV: Point-in-Time Feature Serving without Temporal Data Leakage
Lead author programme on SCD Type 2 as-of joins, dual Feast/Dask and PySpark engines, Nimbus leakage traps, and FastAPI serving for underwriting, pricing, and fraud.
FeatLock 1.0 — live feature console for lineage, leakage audit, and Redis lookups
Zenodo engineering archive — doi:10.5281/zenodo.21798383
Data lineage from Parquet sources through the PIT store to actuarial models
Leakage dynamics: detecting future feature_timestamps in Nimbus portfolios
Online Redis policy and claim feature payloads under 10 ms
StochVRP-Mesh organ logistics — NP-hard routing programme context
Organ Mesh 1.0 prediction console — sibling API on Data-T Research
Top enterprise technology
Muskan Sharma advances Data-T research through hybrid quantum optimization APIs, multipath bonding consoles, yield-management systems, point-in-time stores, and open engineering reports.
Argo Mesh 1.0™
Live optimization console for QAOA overview, z3 safety proof, AIS fleet, and refined QPU history.
Hybrid Quantum Optimization
Research programme on NISQ QAOA sampling, classical refinement, and formal SMT verification.
Taurnet 1.0™
Live bonding console for MPTCP sessions, Bell-state path recommendation, and BB84 protection.
Yield Mesh 1.0™
Live pricing console for multi-machine quotes, booking lifecycle, and fleet release.
FeatLock 1.0™
Operator console and API surface for online, offline, and audit workflows.
Open science
Zenodo archives, AgroSea GitHub projects, and reproducible research programming.
Key contributions
Scientific and engineering highlights from Muskan Sharma as main researcher, research programmer, and scientist.
Main researcher · Hybrid Quantum Optimization
Lead programme on NP-hard combinatorial optimization — QAOA sampling, classical refinement, formal SMT verification, and Argo Mesh 1.0 console delivery for AgroSea laboratory workflows.
Argo Mesh 1.0 delivery
Converted ArgoSea operations console into a production Next.js surface with same-origin /api/argomesh overview, z3 verify, fleet, and refined QPU history endpoints.
Main researcher · Quantum Multipath Bonding
Lead programme on MPTCP session bonding, hybrid QKD/PQC key management, Bell-state path optimisation, and Taurnet 1.0 console delivery.
Taurnet 1.0 delivery
Converted laboratory dashboard HTML into a production Next.js console with same-origin /api/taurnet bonding, quantum optimise, and QKD generate endpoints.
Main researcher · Dynamic Yield Pricing
Project infrastructure and research programming for Arkham yield management — fleet APIs, operator surfaces, and open Zenodo reporting under Data-T Research Org.
Yield Mesh 1.0 delivery
Converted static customer/ops dashboards into a production Next.js console with same-origin /api/yieldmesh quote → book → track → release workflows.
Point-in-time correctness
Formalised valid-time as-of joins for SCD Type 2 actuarial entities so historical training sets never see future address, claim, or policy state.
FeatLock 1.0 console
Shipped the operator-facing dashboard — overview, lineage, risk & leakage, feature importance, PIT training, and online Redis lookups.
Research programming
Bridges combinatorial optimization, actuarial science, yield management, and software engineering — reproducible notebooks, GitHub AgroSea projects, and open-access reporting.
Smarter impact powered by Data-T research
Hybrid Quantum Optimization combines QAOA sampling, classical refinement, and formal SMT verification.
Argo Mesh 1.0, Taurnet 1.0, Yield Mesh 1.0, and FeatLock 1.0 put papers into live operator workflows.
Quantum Multipath Bonding bonds MPTCP transport with hybrid QKD/PQC and Bell-state path selection.
Dynamic Yield Pricing projects +29.6% fleet revenue and +16 pp utilisation without new CapEx.
AgroSea GitHub projects track research programming delivery for hybrid quantum and yield infrastructure.
Unlock expert insights on hybrid quantum optimization, multipath bonding, and yield management
Papers, Argo Mesh / Taurnet / Yield Mesh / FeatLock APIs, AgroSea GitHub projects, and open research programming from Data-T.
Training for what's next
Hybrid quantum optimization path
Deepen skills in QAOA sampling, classical refinement, and formal SMT verification for NP-hard problems.
Multipath bonding research path
Deepen skills in MPTCP transport, hybrid QKD/PQC security, and Bell-state path optimisation.
Yield management research path
Deepen skills in RL pricing, SDP contracts, and spot auctions for equipment fleets.
API console pathways
Practice overview, z3 proof, and QPU history workflows in Argo Mesh 1.0.
Latest news
- Argo Mesh 1.0 API console ships overview, z3 safety proof, and refined QPU history
- Hybrid Quantum Optimization research page and Zenodo archive published
- Taurnet 1.0 API console ships bonding sessions, path optimisation, and BB84 protection
- Quantum Multipath Bonding research page and Zenodo archive published
- Dynamic Yield Pricing research page live on Data-T Investor Relations
- Yield Mesh 1.0 API console ships customer booking and internal ops tabs
- FEATSRV Point-in-Time paper and FeatLock 1.0 programme published
- Open-access FEATSRV engineering report archived on Zenodo
Stay connected
What's New at Data-T — updates from Muskan Sharma's research programme, Argo Mesh, Taurnet, Yield Mesh and FeatLock releases, and papers.