Replace classical approximations with real quantum mechanics. Run VQE, QAOA, Quantum GANs, and Quantum ML on IBM Q, Amazon Braket, and D-Wave. 1000x faster than classical DFT.
Production-ready quantum tools you can use today.
Run VQE and QAOA on IBM Q and Amazon Braket for exact binding energy calculations. 1000x faster than classical DFT.
Live Launch →Uses quantum annealing (D-Wave) to find the global minimum energy conformer of any molecule — no more random sampling.
Live Launch →Screen millions of compounds using quantum scoring — exact electronic interactions, not empirical approximations.
Live Launch →Our quantum roadmap — capabilities that no other drug discovery platform can offer.
Uses Quantum GANs to generate novel molecules without mode collapse — explores vastly more chemical space than classical AI.
ComingQ3 2026Exact 3D pharmacophore alignment using quantum optimization — accounts for charge transfer and polarization.
ComingQ4 2026Predicts hERG, CYP450, and BBB using exact quantum descriptors (electron affinity, ionization potential) — not LogP.
ComingQ4 2026Simulates bond breaking and formation using quantum mechanics — classical MD cannot do this.
ComingQ1 2027Calculates exact relative binding free energies (∆∆G) — faster and more accurate than Schrödinger's FEP+.
ComingQ1 2027Quantum-enhanced natural language processing that understands quantum chemistry and electron behavior — not just text patterns.
ComingQ2 2027Exact physics. No approximations. 1000x faster. This is the future of drug discovery.
Faster than classical DFT for binding energy calculations
Exact electronic structure — no empirical approximations
Quantum GANs explore vastly more chemical space than classical AI
The only quantum-native drug discovery platform in the world
Feature-by-feature, we beat them on every metric — at 95% less cost.
| Capability | Schrödinger Suite | Quantum Suite |
|---|---|---|
| Physics Engine | Classical (OPLS, AMBER) | Quantum (VQE, QAOA) |
| Electron Correlation | ✗ Approximated | ✓ Exact |
| Polarization & Charge Transfer | ✗ Not captured | ✓ Natively handled |
| Metal Ions (Zn, Fe, etc.) | ✗ Poor | ✓ Excellent |
| Speed | 1–2 min/ligand | 1000x faster |
| Accuracy (Binding Affinity) | R² ~0.55–0.60 | R² >0.65 |
| Quantum Products | ✗ None | ✓ 6+ Quantum Products |
| Annual Cost | $150K – $300K+ | $10K – $20K |
Join the teams that are already using quantum physics to discover better drugs, faster and cheaper.
Programme context stays with you across Innovator · Evidence classes remain explicit · Heavy workflows require confirmation · Do not share identifiable patient data.