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FirstQFM Makes Waves in Quantum Forecasting at ISC 2026

On June 22, 2026, FirstQFM, a groundbreaking leader in machine learning models for quantum computing, unveiled impressive advancements at the ISC High Performance conference. The company's new Quantum Reservoir Computing (QRC) system outperformed top classical foundation-model benchmarks, achieving a series-level win rate of 56.1% in zero-shot forecasting assessments.

These remarkable results highlight the capabilities of FirstQFM's Quantum Foundation Models (QFM), which were enhanced through integration with NVIDIA's accelerated computing platform. The rigorous benchmarking focused on financial time series data, where the QRC model demonstrated superior accuracy and lower forecasting errors compared to other leading classical models.

Unleashing the Power of Quantum Models

FirstQFM's innovation arrives at a pivotal moment for quantum technology, challenging the industry's focus on future fault-tolerant solutions. The company is already leveraging Noisy Intermediate-Scale Quantum (NISQ) hardware to deliver results that matter in the present. By employing patented, device- and problem-specific reservoirs, the QRC solution is positioned to handle high-value use cases, setting the stage for future performance improvements as quantum devices evolve.

Vish Ramakrishnan, CEO and Co-Founder of FirstQFM, emphasized the significance of this development:

“Building QRC on top of our proprietary quantum foundation models enables us to generate reservoirs that are both device-aware and problem-aware. This is what allowed us to outperform state-of-the-art AI forecasting models from major players like Google, Salesforce, and Amazon.” He believes this technology could pave the way for commercially viable quantum computing applications.

Powered by Advanced NVIDIA Technology

The construction and enhancement of FirstQFM's models relied heavily on NVIDIA's cutting-edge resources, including CUDA-Q, cuQuantum, and cuTensorNet. Notably, the Leonardo Supercomputer—the world's significant computing system—played an indispensable role in optimizing workflow and performance.

For organizations looking to implement these new systems, FirstQFM's solution will utilize NVIDIA NVQLink. This technology establishes a crucial connection between GPU-enabled servers and quantum processors, enabling the required low-latency and high-throughput needed for real-time data analytics.

Ensuring Robustness in Performance

FirstQFM was diligent in adhering to rigorous validation protocols, particularly when it came to their zero-shot forecasting predictions. By ensuring the forecast performance was evaluated on untouched data, they secured against contamination from overfitting and data leakage.

Isaiah Hull, CTO and Co-Founder, stated:

“The objective was to show gains over state-of-the-art zero-shot forecasting systems on commercially relevant tasks. To confirm these advances, we crafted the evaluation protocol to eliminate potential biases or data leaks.” The commitment to excellence was supported significantly by NVIDIA’s advanced CUDA-Q platform.

A Versatile Go-To-Market Strategy

Looking ahead, FirstQFM is adopting a flexible Go-To-Market strategy that integrates both cloud and on-premises deployment options. This adaptable approach will enable enterprises to adopt quantum-enhanced forecasting systems seamlessly into their existing infrastructure, granting them critical advantages in predictive analytics.

About FirstQFM

Established in Stockholm, FirstQFM specializes in quantum technology and the development of foundational models that enhance the performance and scalability of quantum computers. Their innovations aim at supporting the practical deployment of high-performance applications tailored for the NISQ era and beyond. Interested parties can learn more about their pioneering advancements on FirstQFM's website.

For further inquiries, Vish Ramakrishnan, CEO and Co-Founder of FirstQFM, is available at 416-230-9901 or via email at [email protected].