Haiqu has launched a full-stack quantum intelligence platform designed to accelerate research and development, addressing a critical constraint that is not access to quantum processing units but the time and expertise needed to build viable prototypes. The Agentic Quantum Operating System combines quantum research agents with Haiqu’s proprietary software, streamlining the process of turning research ideas into executable quantum application plans. Currently, teams face significant costs and delays in designing experiments and iterating on results; Haiqu demonstrated a molecular dynamics simulation previously costing 30,000 and taking over nine hours now runs in roughly 30 seconds for about 25. “Observing research into tools like Haiqu’s middleware allows for a deeper understanding of how quantum bottlenecks might eventually be addressed,” notes Dr. Kristin Milchanowski, Chief AI & Quantum Officer at BMO.
Agentic Intelligence Automates Quantum Application Design
The prevailing narrative around quantum computing often centers on hardware limitations, but Haiqu is challenging that assumption with the launch of its Agentic Quantum Operating System. It is the time and expertise required to identify the right problem, structure the work, and get credible application prototypes,” explained Richard Givhan, CEO and Co-founder of Haiqu. This full-stack platform integrates agentic AI with proprietary middleware, automating application design and streamlining the experimental process. Haiqu’s system employs three core pillars: Agentic Intelligence, the Haiqu SDK, and the Haiqu Runtime, working in concert to accelerate research cycles and reduce costs. Beyond speed, the platform’s ability to translate complex scientific problems into executable experiments is noteworthy, successfully simulating the single-impurity Anderson model and reproducing signatures of magnetic materials.
Haiqu SDK Optimizes Quantum Workflows & Error Mitigation
The current state of quantum computing research and development is increasingly defined not by hardware limitations, but by the substantial time and expertise required to translate theoretical problems into functional prototypes. While access to quantum processing units has improved, the bottleneck now lies in efficiently framing research questions and building testable applications; a challenge Haiqu, a developer of quantum middleware, aims to address with its Agentic Quantum Operating System. A key component of this system is the Haiqu SDK, developer tools designed to maximize performance through data loading, algorithmic optimization, and crucially, error mitigation. These capabilities allow researchers to extract greater value from each quantum operation, a significant advancement given the inherent instability of qubits. This focus on software-level improvements is attracting attention from industry leaders.
The bottleneck for quantum R&D teams is often not access to a QPU. It is the time and expertise required to identify the right problem, structure the work and get credible application prototypes.
Richard Givhan, CEO and Co-founder of Haiqu
Haiqu, a New York City-based developer of quantum middleware, is demonstrating significant cost and time reductions in complex simulations through its newly launched Agentic Quantum Operating System. This optimization stems from streamlined execution and efficient resource allocation within the system’s architecture, a feat achieved without requiring more powerful quantum hardware. This capability extends beyond molecular dynamics, with similar performance gains observed in optimization algorithms, quantum machine learning models, and probability distributions.
With our first Agentic Operating System, we are giving R&D teams effective tools to achieve commercial applications as systems become more powerful.
Richard Givhan, CEO and Co-founder of Haiqu
