REAL SCIENCE
deepRealm
Advancing Quantum Chemistry
Deeprealm Labs builds quantum software systems that enable researchers in chemistry, pharmaceuticals, and materials science to harness quantum computing advantages without requiring quantum programming expertise.
Our governance-driven approach translates domain-specific workflows into optimized quantum algorithms, making quantum chemistry accessible through intuitive, click-and-run interfaces.
kanad
Quantum Native Digital Laboratory
A web-based quantum chemistry platform that makes real quantum computation accessible through an intuitive laboratory interface.
Built on the Kanad governance-driven framework — PhysicsVQE achieves chemical accuracy in 17 evaluations (49x faster). Run on IBM Quantum, BlueQubit, or IonQ. Build molecules, configure solvers, and analyse 20+ properties — no quantum expertise needed.
Quantum Environment Is All You Need
RL agents that learn chemistry from real quantum eigensolver computations — not force fields, not lookup tables, but the Schrödinger equation itself.
Quantum Environment Is All You Need
Gymnasium environments backed by real VQE computations. Energy-gradient rewards produce genuine learning — 71% to 94% near-equilibrium rate, 5.4x error reduction. Built on Kanad governance-driven framework (49x faster), with 93% cache hit rate. 4,096 VQE-backed timesteps in under 10 minutes on a laptop.
RL Adaptor for Quantum Training
The adaptor for training RL models on quantum ground truth will be launched very soon. Four Gymnasium-compatible environments — DissociationEnv, GeometryOptEnv, MoleculeBuilderEnv, ReactionExplorerEnv — where agents learn equilibrium distances, PES shapes, bonding patterns, and energy barriers from real quantum mechanics.
