Funding
Classiq Lands Tens of Millions in Strategic Up-Round Backed by AMD, Qualcomm Ventures, and IonQ as Total Funding Surpasses $200 Million

Classiq has cemented its position at the center of the quantum computing software revolution with a newly announced strategic up-round that brings in tens of millions of dollars from some of the most influential players in advanced computing. With AMD Ventures, Qualcomm Ventures, and IonQ joining the round—alongside Korea’s Mirae Asset Capital, LeumiTech77 by Bank Leumi, and Quantum Eretz—the company’s total funding now exceeds $200 million. This infusion of capital comes at a crucial moment for the quantum industry, as enterprises shift from small-scale experiments to practical deployments requiring mature, scalable software frameworks.
Classiq has long differentiated itself as the software layer that makes quantum computing accessible to enterprises that lack deep quantum expertise. While quantum hardware companies like IonQ, IBM, and Google continue pushing toward higher qubit counts and improved fidelities, the ability for businesses to translate domain problems into working quantum algorithms remains one of the industry’s biggest bottlenecks. Classiq fills this gap by allowing developers to work at a high level of abstraction, enabling rapid creation, optimization, and deployment of quantum applications across multiple hardware backends.
Strengthening the Software Backbone of Quantum Computing
Classiq’s platform is built around automated quantum circuit synthesis and high-level algorithm design, transforming functional models into optimized circuits that can run on a range of quantum and classical hardware. Instead of requiring teams to handcraft quantum circuits at the gate level—a time-consuming and error-prone process—Classiq lets users specify the problem they want to solve and generates circuits tailored for cost, fidelity, and performance. This approach reduces development time, minimizes hardware-specific rewrites, and helps organizations progress beyond research and into real-world applications more quickly.
The company continues to strengthen its position as a critical part of the quantum stack by integrating with major cloud and HPC ecosystems. Its platform already connects to Microsoft Azure Quantum, AWS Braket, NVIDIA CUDA Quantum, IonQ’s hardware, and other leading tools across the quantum landscape. As the quantum ecosystem becomes increasingly heterogeneous—where classical HPC, GPUs, quantum accelerators, and specialized interconnects must work together—Classiq’s ability to bridge these worlds becomes essential.
This latest investment comes at a time of accelerating demand. Enterprises across automotive, finance, energy, and pharmaceuticals are actively exploring quantum algorithms for optimization, chemistry simulation, AI acceleration, and secure communications. Classiq’s software makes these explorations practical by providing rapid onboarding for new teams, advanced tooling for experts, and a unified interface for deploying across diverse hardware environments. The company already works with global organizations such as BMW Group, Rolls-Royce, SoftBank, Comcast, and multiple hyperscalers, demonstrating how its technology supports both early adopters and mature enterprise users transitioning toward higher-scale quantum programs.
Why AMD, Qualcomm Ventures, and IonQ Are Betting Big
The participation of AMD, Qualcomm Ventures, and IonQ provides more than just capital—it brings a strategic alignment of hardware, classical compute, and quantum innovation.
AMD Ventures
AMD (AMD -0.72%) has publicly signaled its commitment to heterogeneous computing, where powerful GPUs, CPUs, adaptive SoCs, and future accelerators operate together. Quantum computing fits naturally into that vision as an extension of advanced HPC infrastructure. AMD Ventures invests in companies positioned to shape the next generation of compute, and Classiq’s software is a key enabler for blending classical and quantum resources into a unified workflow. With AMD’s growing footprint in HPC and AI systems, the ability to integrate quantum workloads seamlessly aligns with its broader compute roadmap.
Qualcomm Ventures
Qualcomm Ventures is the venture arm of QUALCOMM Incorporated (QCOM +4%), investing in technologies that advance intelligent computing across cloud, edge, and next-generation systems. Their involvement highlights growing interest in quantum technologies for cloud, networking, and edge-driven intelligence. Qualcomm’s business increasingly revolves around distributed computation—where devices, cloud infrastructure, and AI systems collaborate dynamically. As quantum computing begins to influence security, optimization, and next-generation communication protocols, Qualcomm sees software platforms like Classiq as essential for unlocking quantum’s role in future intelligent infrastructure. Their investment signals confidence that quantum development must be made portable, scalable, and accessible beyond research institutions.
IonQ
IonQ’s (IONQ +11.19%) participation underscores the growing importance of the quantum-software layer in extracting practical utility from next-generation hardware. As a leader in trapped-ion quantum computers, IonQ continues to produce some of the highest-performing quantum hardware available. But without intuitive software and application frameworks, even advanced machines struggle to find enterprise traction. IonQ is investing directly in the foundation that will help customers build real applications—faster, more reliably, and at greater scale. By supporting Classiq, IonQ accelerates the path to quantum advantage applications that map efficiently onto its hardware.
Global Financial Confidence in the Quantum Software Layer
The involvement of major financial players—particularly from Asia—demonstrates international recognition of quantum software as a strategic asset. Korea’s Mirae Asset Capital, one of Asia’s most influential investment firms, is expanding its focus on next-generation technologies. The participation of LeumiTech77 and Quantum Eretz shows Israel’s continued leadership in deep-tech innovation, particularly in the quantum domain.
These institutions are not simply funding an emerging technology—they are backing a platform that enables quantum computing to become commercial, practical, and economically viable.
Classiq’s Road Ahead
With new capital secured, Classiq plans to expand its global go-to-market operations and deepen its partnerships with leading public and private organizations. The goal is to support enterprises in moving from small quantum teams to broader organizational adoption, enabling company-wide quantum programs with consistent workflows, training tools, and execution environments.
The company will expand training capabilities, optimize its AI-driven quantum coding tools, enhance hardware integrations, and continue developing its circuit synthesis engine—already one of the industry’s most advanced offerings.
Implications for the Future of Quantum Technologies
The implications of this strategic up-round extend well beyond Classiq itself. Quantum computing is rapidly approaching an era where hardware improvements alone are not enough. Real progress now hinges on software that simplifies quantum development, optimizes performance, and enables seamless hybrid computing across classical and quantum systems.
Classiq’s advancements—and the backing from AMD, Qualcomm Ventures, and IonQ—signal that the industry is converging around three trends:
• The need for hardware-agnostic platforms capable of supporting a multi-vendor quantum ecosystem.
• The acceleration of enterprise adoption as quantum tools become more accessible.
• The rise of AI-assisted quantum development that removes steep learning curves and speeds innovation
As quantum computing becomes a hybrid discipline blending HPC, AI, cloud, and next-generation processors, Classiq’s platform sits at the pivotal intersection where these technologies meet. This funding round confirms that the future of quantum computing will be shaped as much by software innovation as hardware breakthroughs, and companies that master both will lead the next generation of computational progress.












