Quantinuum

With 64 of our logical qubits, we were able to simulate quantum magnetism at a scale that can be exceedingly difficult for classical computers. Read more in our blogpost here: quantinuum.com/blog/skinny-lo…

We’ve cut the qubit tax in time for tax season! We’ve taken a big step toward large scale fault-tolerant quantum computing, squeezing 94 error-detected & 48 error-corrected qubits out of 98 physical qubits, an encoding that turns overhead into headroom. quantinuum.com/blog/skinny-lo…

This marks a significant milestone for Quantinuum, and the ecosystem at large: a practical step from “connected hardware” to “usable hybrid compute” for real science. Read more in our blogpost here: quantinuum.com/blog/hybrid-qu…

Using a layered modeling approach to biochemistry, the classical supercomputer handled the large-scale environment, while the quantum device enhanced the treatment of the challenging electronic effects in the molecular “active site” - the part that most limits accuracy in biomolecular reaction simulation. Read the scientific paper: arxiv.org/abs/2601.15677

We’ve demonstrated an end-to-end hybrid workflow linking the Fugaku supercomputer & the Quantinuum Reimei quantum computer. For the first time, they operate together as an integrated, end-to-end research platform running a complete scientific workflow. quantinuum.com/blog/hybrid-qu…

Beyond practical performance, our results help clarify the limits of classical and quantum-inspired methods for combinatorial optimization, leading to insights that are crucial for understanding where genuine quantum advantage may be possible. arxiv.org/abs/2601.21629

This hybrid approach achieves improved performance over existing quantum-inspired techniques on benchmark optimization tasks. arxiv.org/abs/2601.21629

We’ve found a new approach for combinatorial optimization! In a new paper, we introduce a tensor-network–based method that combines matrix product states with iterative local search in a novel way. Read more in our paper here: arxiv.org/abs/2601.21629

In our latest work, we refine the Decoded Quantum Interferometry (DQI) framework, reducing both the qubit requirements and the runtime. It’s one more step toward making an optimized quantum future a reality. Read more here: arxiv.org/abs/2601.15171

Optimization problems appear everywhere. They involve finding the best possible solution among thousands— even millions—of options. A classic example comes from the U.S. Postal Service: What’s the most efficient way to deliver millions of packages across the country each day?

Our algorithms team has been hard at work identifying & enhancing areas where quantum computing can truly outperform classical methods. Here we present an improved approach to DQI, an optimization algorithm that demonstrates a meaningful quantum speedup: arxiv.org/abs/2601.15171

Attending #SCA_HPCAsia2026 this week? Visit us at Booth #P13 to learn how our technologies are helping to define the next era of hybrid quantum-classical compute, including Helios, and our newly upgraded software stack. 🔗 sca-hpcasia2026.jp

In this work, we developed a circuit architecture that requires exponentially fewer ancilla qubits than standard implementations by leveraging some clever mathematical tricks. This new approach also reduces the average circuit runtime, making the approach more efficient than ever. Taken together, this brings us closer to scalable quantum simulations. 🔬 arxiv.org/abs/2511.09461

Our team recently investigated an alternative quantum circuit design for simulating time-evolution operators—an essential task in understanding the dynamics of quantum many-body systems. Read the scientific paper 👇arxiv.org/abs/2511.09461

Quantum computing continues to reveal new possibilities for modeling complex quantum systems, and we're excited to contribute tools that make these simulations more feasible on emerging hardware. arxiv.org/abs/2511.09461

What if every quantum researcher had an army of students to help write quantum algorithms? LLMs are starting to serve as such a resource. We’ve partnered with @HivergeAI to use AI for quantum algorithm discovery, exploring practical quantum chemistry. quantinuum.com/blog/automated…

This week's workshop in Singapore is just the start of a series of ecosystem development events that we will host in the coming years!

Day One of our workshop in Singapore involved discussions and hands on sessions covering Quantinuum’s industry-leading hardware and software, use cases in chemistry and materials, and HPC-quantum workflows. Day Two of our workshop in Singapore brought together partners & industry leaders across the public and private sector and academia for rich discussion on key opportunities for the Singapore quantum ecosystem spanning healthcare, finance, and energy, among other critical sectors.

We’ve just wrapped up a two-day intensive quantum computing workshop in Singapore! Attendees from across the ecosystem, including @ASTARsg, @NVIDIA, & @HSBC, joined us in training the next generation of Helios users in one of the world’s most vibrant hubs for quantum computing.