Liangkun Technology

Liangkun Technology provides a heterogeneous intelligent computing platform that integrates quantum computing, artificial intelligence, and high‑performance computing to tackle scientific problems previously considered intractable.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Scientific and engineering research often confronts problems that exceed the capabilities of classical high‑performance computing, leading to long simulation times, limited accuracy, and an inability to explore large‑scale quantum‑level phenomena. These constraints delay discovery and hinder the translation of breakthroughs into commercial products.

Solution

Liangkun Technology delivers a heterogeneous intelligent computing platform that unifies quantum computing, artificial intelligence, and high‑performance computing. By leveraging quantum‑mechanical first‑principles calculations together with AI‑driven model acceleration, the platform achieves precision beyond classical methods while using a modest number of qubits to simulate systems equivalent to thousands of classical bits. The integrated environment automates workflow orchestration, enabling researchers to obtain results orders of magnitude faster and to package validated findings as standardized, industrial‑grade solutions for sectors such as semiconductors, renewable energy, and drug discovery.

Target Audience

Primary customers are R&D departments and scientific computing groups in semiconductor manufacturers, renewable‑energy firms, and pharmaceutical companies that require high‑precision, large‑scale simulations to accelerate product development.

Features

Unified “quantum × AI × HPC” architecture that combines quantum simulators, AI inference engines, and HPC clusters within a single platform
Physics‑constrained computation based on quantum‑mechanical first‑principles, delivering accuracy unattainable by purely data‑driven methods
Scalable quantum resource utilization: 20 physical qubits can emulate the behavior of a 10,000‑bit classical system, breaking traditional size limits
AI‑enhanced algorithmic acceleration that reduces simulation runtimes from weeks to hours while preserving fidelity
End‑to‑end workflow tools that transform research outputs into standardized, commercial‑ready software modules for semiconductor, energy, and pharmaceutical applications
Built‑in quantum error‑correction stack and engineering best practices, derived from the company’s published whitepaper, to ensure reliable execution on noisy intermediate‑scale quantum hardware