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BQChem

BQChem

Accelerated Quantum Chemistry Engine

What is BQChem?

BQChem solves the electronic structure problem for molecular systems. Electronic energy is a key quantity used to predict chemical reaction mechanisms. BQChem utilizes the latest advancements in quantum chemistry—size-consistent Brillouin-Wigner perturbation theory (sc-BW2)—to deliver cutting-edge performance and accuracy.

BQChem is for
Electrostatic Potentials 

Highlights

BQChem offers:
  • Efficient implementation of a breakthrough quantum chemistry method (sc-BW2).

  • Up to 10x faster calculations than commercial quantum chemistry packages (e.g., Q-Chem).

  • Improved accuracy over conventional MP2 methods.

Technology

BQChem runs on both CPU and GPU architectures. By leveraging size-consistent Brillouin-Wigner perturbation theory (sc-BW2), it outperforms many existing quantum chemistry packages. See benchmark results for popular natural compounds and drug molecules below.

BQchem Performance Benchmark
MoleculeOrbital CountQChem sc-BW2BQChemSpeedup
17730.59s0.1s59x
31767.5s1.42s6.8x
85211076s141s76x

Performance & Benefits

Gain unmatched computational efficiency with:
  • Up to 10x faster calculations than competing solutions.

  • Enhanced accuracy compared to MP2 methods.

  • Superior performance over the Q-Chem suite for sc-BW2 calculations.

Use BQChem to accelerate your computational drug design process at any stage: from rapid screening of molecular electronic potentials to high-accuracy QM/MM simulations.

Directions

We are continuously enhancing BQChem for compatibility with new hardware paradigms, including the Cerebras wafer-scale engine, to deliver unmatched performance for QM/MM calculations in computational drug design.

BQChem advanced technology

Future Developments

Look forward to:
  • Support for wafer-scale engine technology (Cerebras) for large-scale simulations.

  • Optimized QM/MM calculations for advanced computational drug design.

  • Ongoing improvements in methods and performance updates.

BQChem accelerates computation of key quantities in chemical simulations, paving the way for faster, more accurate drug discovery pipelines.