Our technology
Quantum computing offers new methods for solving complex industrial problems. QMill accelerates practical adoption of quantum computing through algorithms, software solutions, and researcher tools, built on our cutting-edge research. We focus on technology that can run on real quantum hardware in the very near future.


Delivering practical results
The QMill team turns quantum research into methods that can be tested, benchmarked, and run on today’s hardware. Our work spans three connected areas: researchers’ tools that make experimentation more efficient, solutions built on practical quantum advantage, and industry-driven solutions that apply quantum approaches to solving customers’ problems.
World record in circuit compression
QMill has developed an AI-powered quantum circuit compression method that streamlines circuits while preserving exact functionality. The approach has set a world record in compression by consistently outperforming the leading quantum circuit optimizer across standard benchmark circuits under equivalent computational budgets, demonstrating clear gains on hardware-relevant gate sets. This capability is available as our QMill Circuit Compression solution, helping teams run more ambitious workloads on today’s quantum hardware by making circuits more compact. See our product pages for details.
◾Blog by Clayton Leite: QMill sets a world record in quantum circuit compression
Read the BlogQuantum advantage within reach
QMill is developing a quantum algorithm aimed at demonstrating practical quantum advantage on near-term hardware. Simulation results posted in January 2026 indicate that QMill is on a promising path: the targeted computation can be done in minutes on a quantum computer, while leading supercomputers would take hours. These results are based on mathematical analysis and large-scale simulations and provide a validated performance estimate ahead of execution on quantum hardware. Our work on this continues, with further results to follow.
◾Blog by David Karpuk: Unlocking the future of quantum computation: Trust and verifiability
Read the BlogNovel methods for industrial optimization
QMill develops variational and non-variational quantum optimization algorithms for industrial optimization use cases.
Feasibility for quantum approaches to optimization increases as hardware advances, with early fault tolerant systems expected later this decade. Today, we can prepare our customers for quantum computing by estimating together how quantum optimization scales to their larger problems, identifying when quantum advantage could be reached and understanding the hardware conditions required.
◾Customer case: ESL Shipping and QMill explore quantum computing for complex shipping decisions in the Smart Fleet Optimization project
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