Quantum Computing Takes Aim at the Multi-Trillion-Dollar Chemical Industry

2026-10-28 companies

Tel Aviv, Wednesday, 28 October 2026.
Backed by a $2.4 million bilateral grant, a new partnership deploys quantum simulations to target catalytic processes that drive up to 90% of global chemical manufacturing.

A Quantum Leap for Industrial Chemistry

Quantum Elements, a Los Angeles-based quantum software company, and Qarakal Quantum, an Israeli quantum hardware firm, have secured a $2.4 million grant from the Binational Industrial Research and Development (BIRD) Foundation to accelerate the discovery of industrial catalysts using quantum computing [1]. The collaboration represents a significant public-private investment in applied quantum technology, with the potential to disrupt sectors worth trillions of dollars. Announced on October 27, 2026, the joint project will integrate superconducting quantum computing hardware with AI-native digital twin simulation frameworks to model catalytic processes at an unprecedented scale [1]. Izhar Medalsy, Co-Founder and CEO of Quantum Elements, emphasized the transformative potential of the partnership: ‘Catalyst discovery gives us an opportunity to apply our quantum digital-twins and physics AI capabilities across the full path from physical device behavior to an industrial chemistry workflow’ [1].

The $6 Trillion Catalyst Conundrum

The global chemical processing industry, valued at between $5 and $6 trillion annually according to MarketLine data, relies on catalytic processes for 80–90% of its products [1]. These catalysts—substances that speed up chemical reactions without being consumed—are the invisible engines of modern manufacturing, enabling everything from fertilizer production to fuel refinement. Despite their ubiquity, the discovery of new catalysts remains a painstakingly slow and expensive process, often involving years of trial and error in laboratory settings. The BIRD Foundation’s grant aims to address this bottleneck by leveraging quantum computing to simulate and optimize catalytic reactions in silico, potentially reducing development timelines from years to months [1]. The initiative aligns with broader trends in quantum computing, where hardware advancements are increasingly being paired with AI-driven software to tackle complex industrial challenges [6].

Quantum Hardware Meets AI Simulation

Qarakal Quantum’s modular three-dimensional Pangaea architecture will serve as the foundation for the project’s hardware, connecting specialized quantum modules through an IP-protected quantum bus and routing motherboard [1][6]. Dr. Nissan Maskil, CEO and co-founder of Qarakal Quantum, highlighted the synergy between the two companies’ technologies, stating: ‘Our architecture is modular by design and tailorable for real-world workloads — that’s what makes this collaboration work. Quantum Elements’ digital twins can model each module in detail, so we can make smart design decisions before we optimize the hardware’ [1]. The collaboration will produce benchmark chemistry models, quantum algorithms, and API outputs designed for chemists, materials engineers, and industrial R&D organizations [1]. This modular approach ensures scalability, allowing the system to grow alongside the computational demands of industrial applications [1].

A Strategic Investment in Quantum Readiness

The BIRD Foundation, established by the U.S. and Israeli governments in 1977, provides up to 50% of project development costs (capped at $1.5 million per project) without taking equity [1][3]. The Foundation’s investment reflects a broader geopolitical commitment to fostering U.S.-Israel collaboration in emerging technologies, particularly in quantum computing, where both nations are vying for leadership [6]. The grant announcement follows a flurry of recent quantum-related developments, including Intel’s agreement to acquire Classiq, an Israeli quantum software provider, for an estimated $2.0–$2.5 billion [4]. This acquisition underscores the growing commercial interest in quantum computing, as companies seek to create full-stack platforms capable of addressing real-world industrial challenges [4]. Meanwhile, the Pentagon has significantly ramped up its quantum research funding, with 2026 defense contracts roughly doubling to tripling disclosed quantum computing investments compared to 2023 [6].

The Road Ahead: Challenges and Opportunities

While the potential of quantum computing in catalyst discovery is immense, significant hurdles remain. Quantum hardware is still in the early stages of development, with challenges such as error correction, qubit stability, and scalability persisting [6]. However, the BIRD Foundation’s grant signals growing confidence in the technology’s near-term commercial viability. The collaboration’s success could pave the way for broader applications of quantum computing in industries beyond chemicals, including clean tech, advanced materials, and pharmaceuticals [1]. As Izhar Medalsy noted, ‘Useful quantum applications cannot be developed in isolation from the hardware that has to run them’ [1]. This partnership represents a critical step toward bridging the gap between quantum hardware and practical industrial applications, with far-reaching implications for the global economy [alert! ‘The project’s timeline and specific milestones have not been publicly disclosed, leaving uncertainties about the pace of progress’].

Sources

Quantum computing Industrial chemistry