US 2026/0300571 A1 · QUANTUM-CLASSICAL HYBRID SIMULATIONS USING ADVANCED MATHEMATICAL EXPANSIONS FOR MATERIALS DESIGN

Abstract

The advanced materials design platform implements a novel quantum-classical hybrid computation system that integrates quantum and classical computing resources for materials simulation, design, and engineering applications. The system generates parallel computational results using quantum and classical processors while maintaining quantum coherence through sophisticated state-preserving protocols. The platform features a mathematical translation layer, which enables accurate conversion between quantum and classical state representations. The platform implements real-time error detection and correction mechanisms, continuously monitoring quantum coherence and classical consistency while optimizing computation parameters and orchestration of tasks to achieve design goals. Resource management strategies dynamically allocate quantum and classical computing resources based on coherence requirements and computational complexity and cumulatively accumulated knowledge. The platform enables efficient exploration of materials properties that span quantum and classical domains, providing a powerful framework for advanced, adaptive and active materials design applications while maintaining computational accuracy and consistency across both quantum and classical regimes.

Claims20

Dependent claims

A computing system for multi-scale materials modeling employing an advanced materials design platform, the computing system comprising:

one or more hardware processors configured for:
generating first computational results using quantum computing resources operating on quantum state data;
generating second computational results using classical computing resources operating on classical state data;
implementing a mathematical translation layer that converts between quantum state representations and classical state representations;
maintaining coherence of quantum states during integration with classical calculations through state-preserving protocols;
combining the quantum and classical computational results using mathematical frameworks that preserve quantum information during classical integration;
validating combined computational results through comparison with defined physical criteria;
detecting computational errors through real-time monitoring of quantum coherence and classical consistency;
correcting detected errors by adjusting quantum state preservation parameters while maintaining classical consistency;
generating optimized computation parameters based on validated computational results;
and
iteratively refining the combined computational results using the optimized computation parameters while maintaining quantum-classical consistency.

9 more elements

A computer-implemented method executed on an advanced materials design platform for multi-scale materials modeling, the computer-implemented method comprising:

generating first computational results using quantum computing resources operating on quantum state data;
generating second computational results using classical computing resources operating on classical state data;
implementing a mathematical translation layer that converts between quantum state representations and classical state representations;
maintaining coherence of quantum states during integration with classical calculations through state-preserving protocols;
combining the quantum and classical computational results using mathematical frameworks that preserve quantum information during classical integration;
validating combined computational results through comparison with defined physical criteria;
detecting computational errors through real-time monitoring of quantum coherence and classical consistency;
correcting detected errors by adjusting quantum state preservation parameters while maintaining classical consistency;
generating optimized computation parameters based on validated computational results;
and
iteratively refining the combined computational results using the optimized computation parameters while maintaining quantum-classical consistency.

8 more elements

Dependencies are inferred from the claim text.

Quantum-classical hybrid simulations using advanced mathematical expansions for materials design

Life of this patent

Quantum-classical hybrid simulations using advanced mathematical expansions for materials design

Life of this patent

Abstract

Claims20