Quantinuum

When developing its H-Series quantum computers, Powered by Honeywell, Quantinuum chose a quantum charge-coupled device (QCCD) architecture as its path to scalable universal quantum computing because it allows for full connectivity between identical high-fidelity qubits (atomic ions).[3]

Quantinuum launched its first generation of quantum computers with the System Model H1-1, a trapped-ion computer running on 12 qubits, in 2020.[8]

In May 2023, Quantinuum launched the System Model H2, with a quantum volume of 65,536 (2¹⁶), the largest on record at that time. The H2 achieved the largest GHZ state on record, the first demonstration of magic state distillation, and the first demonstration of the creation and control of topological qubits whose linking properties can help make quantum computing fault-tolerant.[9][10] Braiding quasiparticles called non-Abelian anyons creates a historical record of the event, and the paths they trace are more robust to errors, which could eventually lead to the development of a topological quantum computer.[9]

The H-Series systems have consistently broken records for quantum volume, recently reaching a quantum volume of 524,288 (2¹⁹) in July 2023.[2] Quantum volume is one of 15 performance benchmarks that Quantinuum scientists ran against the latest generation of its trapped ion quantum computer which are available on arXiv and GitHub.[11]

Quantinuum also offers an H-Series Emulator which allows researchers to compare data in quantum hardware experiments and approximate noise, accelerating simulation workflows.[10]

Quantum Origin uses quantum computing to strengthen the cryptographic keys that protect online transactions and identification processes. The software produces provably unpredictable cryptographic keys to support traditional algorithms, such as RSA and AES, as well as post-quantum cryptography algorithms.[4][12][13][14][15][16]

Quantum Origin is said to be the first commercial application of a quantum computer that offers a solution that classical computers cannot achieve.[17] In April 2022, Quantinuum partnered with PureVPN to make their OpenVPN protocol quantum resistant.[18]

In 2023, Quantinuum introduced Quantum Origin Onboard, an innovation in post-quantum cryptography that extends the quantum hardened cyber protection to connected devices by maximizing the strength of keys generated within the devices themselves.[19] The company also released Quantum Origin Cloud, which allows subscribers to request secure keys on-demand or integrate with hardware security modules.[20]

Quantinuum’s Quantum Origin was recognized in 2022 by UK Business Tech with the Best Use of Innovation award.[21]

InQuanto is a quantum computational chemistry software platform. InQuanto uses Quantinuum’s open-source Python toolkit, TKET, to improve the performance of quantum devices with electronic structure simulations. The stand-alone platform is designed to help computational chemists experiment with quantum algorithms and eventually create prototypes of real-life problems using quantum computers.[22]

TKET is a platform-agnostic compiler for optimizing quantum algorithms as well as a software development kit for building and running programs for gate-based quantum computers. It is platform-inclusive and open source. The quantum programming environment is accessible through the PyTKET Python package, with extension modules that work with quantum computers, classical simulators, and quantum software libraries.[23][24][25][26][27][28]

Quantinuum’s Quantum Natural Language Processing team is developing reasoning-based quantum artificial intelligence that works with modern machine learning-based techniques to produce AI systems that are more interpretable, transparent, and cost effective, requiring less data.[29][30] This quantum compositional intelligence is based on categorical quantum mechanics, which studies quantum processes and how they are composed.

Lambeq is an open-source software library for the design and implementation of quantum natural language processing applications.[31] To build a quantum natural language processing model, Lambeq parses the grammatical structure of an input sentence into a task-specific output. This is encoded into an abstract representation called a string diagram, which reflects the relationships between the words in the original sentence.[31]

Quantinuum has efforts in QML with a focus on quantum circuit learning on near-term noisy intermediate-scale quantum (NISQ) computers. The company has commercial work in deploying deep learning for time-series modeling and decision-making and specializes in quantum enhanced solutions for machine learning and optimization problems.[32][33]

Among the primary uses for quantum computing is combinatorial optimization, as its applications extend to logistics, supply chain optimization, and route planning.

In 2023, Quantinuum created an improved variational quantum algorithm for solving combinatorial optimization problems that uses minimal quantum resources and takes advantage of the H-Series’ all-to-all connectivity and native parameterized two-qubit gates.[34] In 2021, Deutsche Bahn partnered with Quantinuum to explore how quantum computers can improve the rescheduling of rail traffic.[35]

In 2021, Nippon Steel Corporation used Quantinuum’s algorithms to simulate the behavior of iron crystals in different configurations. The chemical simulation is so complex at scale that it cannot be accurately simulated on classical computers.[36]