High-Performance Classical Engine.
Zero Quantum Cost Runaway.
HQFAST solves intractable QMA-hard physical chemistry and NP-hard combinatorial optimization problems. By executing classical tensor networks first and enforcing configurable strict budget caps, HQFAST eliminates financial risk while remaining compatible with all leading quantum hardware backends.
Classical-First Core. Fully Agnostic QPU Integration.
You are never locked into a single quantum hardware vendor. HQFAST computes the heaviest electronic wavefunctions classically via Matrix Product States (MPS-DMRG), dispatching only minimal, highly reduced QUBO sub-problems to external quantum backends.
Vendor-Neutral QPU Adapter Layer
Seamless execution across leading industry QPU physical modalities—including Superconducting Qubits, Trapped-Ion Processors, and Neutral-Atom Arrays—without altering domain logic.
Classical-First Fallback & Acceleration
If QPU availability drops or queue latency spikes, HQFAST automatically executes classical tensor networks (JAX/PySCF) down to Chemical Accuracy ($\le 1.6\text{ mHa}$) without stopping work.
Integrated QOBLIB QUBO Solvers
Includes built-in open-source combinatorial optimization algorithms (Apache 2.0 / CC-BY) for local, zero-cloud execution of NP-hard allocation problems.
Configurable Cost Control. Zero Cloud Surprises.
Quantum cloud API runs can quickly balloon into tens of thousands of dollars per experiment. HQFAST's CostGuardEngine puts complete financial control back in your hands.
Traditional Pure Quantum Cloud Approach
Direct hardware execution of uncompressed wavefunctions leads to high shot counts, queue delays, and financial runaway.
- ✕ Vulnerable to QPU cloud API price spikes
- ✕ Unconstrained circuit depth costs
- ✕ Hard vendor lock-in
Configurable Hybrid CostGuard Engine
Users define strict max spend limits per job. CostGuard dynamically clamps tensor bond dimension ($\chi \le 256$) before any remote dispatch.
- ✓ Strict pre-flight budget verification
- ✓ Automatic memory & shot limit clamping
- ✓ Hardware-neutral failover to local MPS classical solvers
Decoupled 4-Layer Modular Pipeline
Domain physics, cost routing, and presentation layers are strictly separated, ensuring zero hardcoding and maximum adaptability.
Strict Scientific Rigor & Zero-Mocking Mandate: All UI badges, stress tensors, and verdicts are computed in real time from live algorithmic outputs.
Pluggable physical modules computing E(3)-Equivariant stress tensors, Virial strain matrices, and Arrhenius chemical kinetics.
Translates complex physical constraints into QUBO formulations. Enforces user-configured max budget limits ($50 cap default) and $\chi \le 256$ memory bounds.
Calculates electronic structure integrals targeting Chemical Accuracy ($\le 0.0016\text{ Hartree}$). Automated tests strictly execute on local CPU simulators.
Solid-State Battery Mechanics & SEI Interphase
Our first commercial application addresses Solid Electrolyte Interphase (SEI) degradation and lithium dendrite growth—a critical failure point in next-generation solid-state batteries.
Simulation Parameters
🔒 Interactive demo simulation preview. Private backend API keys required for production server runs.
Investor & Technical Documentation
Explore our complete business documentation, mathematical white paper, architectural specifications, and open-source licensing compliance.
Investor Pitch Deck
Market size ($52B TAM), 8.5/10 investor readiness evaluation, business model, and commercial roadmap.
Technical White Paper
Mathematical derivations of our Classical MPS-DMRG matrix mapping to QUBO formulation and CostGuard logic.
OSS & Licensing Compliance
Full audit of QOBLIB integration (Apache 2.0 / CC-BY 4.0), PySCF, PennyLane, and Qiskit compliance.