Quantum Monte Carlo

Precision Monte Carlo—At Quantum Speed and Determinism

Automatski redefines Monte Carlo methods with a hybrid quantum-classical architecture, delivering deterministic results and precision-tuned accuracy—without random sampling. From high-dimensional integration to complex simulations, this breakthrough enables a stable, repeatable, and quadratically faster approach to problems across physics, finance, and beyond.
Quantum Monte Carlo
Two Core Capabilities

Monte Carlo methods generally fall into two major categories:

  • Monte Carlo Integration
  • Monte Carlo Simulation


These are widely used across scientific computing, physics, finance, and engineering for solving complex, high-dimensional problems.

Quadratic Computational Advantage

Until now, the world has lacked large and accurate quantum computers capable of performing Quantum Monte Carlo at production scale. Automatski has addressed this gap.

We have invented Hybrid Quantum-Classical Monte Carlo methods—designed specifically for both integration and simulation—with breakthrough capabilities:

  • Quadratic computational speedup
  • Deterministic execution (no probabilistic or random sampling)
  • Precision-controlled accuracy (to any required decimal specification)


This method enables stable, repeatable, and highly efficient computations in fields such as quantum chemistry, financial modeling, statistical physics, and risk analysis.

Quantum Computing and Finance doesn’t get any better than this.

Author : Aditya Yadav

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