Kothar Computing Launches FORGE Platform for Quantum Simulation

Kothar Computing is launching Kothar's FORGE, a next-generation scientific computing platform that solves complex quantum many-body problems with high performance. The platform allows quantum researchers to model and solve problems in minutes, replacing months of coding with a user-friendly interface. Kothar aims to empower researchers worldwide with its proprietary Quantum Symbolic Algebraic Framework and interactive computational physics environment.

IBM and AMD have announced a strategic partnership aimed at developing next-generation computing architectures that combine quantum computing, artificial intelligence (AI) accelerators, and high-performance computing (HPC). This collaboration, announced on 27 August 2025, seeks to create scalable, open-source platforms capable of addressing some of the world's most complex problems [1].

Quantum computing processes information differently from classical computing, using qubits that follow quantum mechanics principles, allowing for a richer computational space. This technology has the potential to revolutionize fields such as drug discovery, materials science, logistics, and optimization, where traditional computing may struggle [1].

IBM Chairman and CEO Arvind Krishna emphasized the potential of quantum computing to simulate the natural world and represent information in new ways. By integrating IBM's quantum computers with AMD's advanced HPC technologies, the partnership aims to build a powerful hybrid model that surpasses the capabilities of traditional computing [1].

AMD Chair and CEO Dr. Lisa Su noted that HPC is foundational for solving significant global challenges. The collaboration with IBM to explore the convergence of HPC and quantum technologies offers substantial opportunities to accelerate discovery and innovation [1].

The envisioned hybrid approach involves using quantum computers alongside HPC and AI infrastructure, with each component assigned to the system best suited for solving specific parts of a problem. For example, quantum machines could model atomic interactions, while HPC systems powered by AI could analyze vast datasets [1].

IBM and AMD are investigating how to integrate AMD CPUs, GPUs, and FPGAs with IBM's quantum systems to support new algorithms currently out of reach for either technology alone. This work also aligns with IBM's long-term goal of delivering fault-tolerant quantum computers by the end of the decade [1].

The companies plan to demonstrate their technologies in hybrid workflows later this year and intend to leverage open-source ecosystems like Qiskit to foster new algorithm development and expand the adoption of quantum-centric computing [1].

IBM has already made strides in integrating quantum and classical computing, partnering with organizations like RIKEN in Japan to connect its modular quantum computer with Fugaku, one of the world's fastest supercomputers. AMD's CPUs and GPUs power Frontier, the world's first exascale supercomputer, and drive El Capitan, currently ranked among the fastest supercomputers globally [1].

This partnership marks a significant step towards a computing model that blends quantum and classical methods, with the potential to redefine problem-solving across industries in the coming years.

References:
[1] https://www.techedt.com/ibm-and-amd-partner-to-advance-quantum-centric-supercomputing