Simulate Physical Reality.
Solve Intractable QMA & NP-Hard Problems.
HQFAST is the universal hybrid compute platform solving extreme electronic structure physics and large-scale combinatorial optimization. By executing high-performance tensor networks (MPS-DMRG) classically first and enforcing configurable strict budget caps, HQFAST eliminates quantum cost runaway while accelerating deep simulations across chemistry, pharmacology, catalysis, and complex networks.
Classical-First Core. Fully Agnostic QPU Integration.
You are never locked into a single quantum hardware vendor. HQFAST executes the heaviest electronic wavefunctions classically via Matrix Product States (MPS-DMRG), dispatching only minimal, highly reduced sub-problems to external quantum backends when entanglement demands it.
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 Tensor Fallback
If QPU availability drops or queue latency spikes, HQFAST automatically executes classical tensor networks (MPS-DMRG) down to Chemical Accuracy (≤ 1.6 mHa) on local CPU/GPU hardware.
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 and topology problems.
Solving the Two Hardest Mathematical Classes in Science
Whether simulating quantum many-body Schrödinger wavefunctions or optimizing exponential discrete combinatorial spaces, HQFAST routes computation through the most efficient classical and quantum pathways.
QMA-Hard Electronic Structure
Direct simulation of multi-electron correlation, atomic force fields, and chemical reaction pathways without empirical approximations.
NP-Hard Discrete & Topology Solvers
Solving large-scale binary quadratic optimization problems under strict physical, topological, and budget constraints.
Pluggable Layer 4 Domain Adapters
HQFAST's mathematical and quantum core is domain-agnostic. Industry-specific data and physical constraints plug directly into Layer 4 without modifying underlying quantum solvers.
Battery Chemistry & SEI
Solid Electrolyte Interphase passivation, lithium dendrite kinetics, and Arrhenius thermal breakdown modeling for solid-state batteries.
Targeted Oncology & Docking
QM/MM active-site partitioning for small-molecule inhibitor binding free energy (ΔG_bind) in oncology drug discovery.
Enzyme Catalysis & MOFs
Transition-state barrier (E_a) search for multi-reference cofactors (Nitrogenase) and porous MOF carbon capture adsorption.
Topology & Module Placement
High-density battery pack cell topology, resource scheduling, and power grid dispatch via NP-hard QUBO formulations.
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 (χ ≤ 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 across scientific domains.
Strict Scientific Rigor & Zero-Mocking Mandate: All UI badges, stress tensors, and verdicts are computed in real time from live algorithmic outputs.
Evaluates von Neumann entanglement entropy (S_vN) and circuit depth. Clamps bond dimensions (χ ≤ 256) and enforces strict $50 max budget limits.
Pluggable physical modules computing E(3)-Equivariant Born-Oppenheimer stress tensors, Virial strain matrices, and Arrhenius chemical kinetics.
Calculates electronic structure integrals targeting Chemical Accuracy (≤ 0.0016 Hartree). Automated tests strictly execute on local CPU simulators.
Solid-State Battery Mechanics & SEI Interphase
See how HQFAST's universal tensor network and Arrhenius kinetics engine predicts interphase breakdown and thermal runaway in real time on our first commercial application.
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.