Real-world use cases
Overcoming noise in open quantum system simulations using advanced circuit design and error suppression
Scaling open quantum system simulation to unprecedented depths without noise degrading the performance
Up to 40 time steps
Representing the longest open system dynamics simulation based on collision models, significantly surpassing previous benchmarks
Q-CTRL played a key role in extending our quantum collision-model simulations of Markovian quantum processes on IBM superconducting hardware. Their hardware-aware execution expertise, together with Fire Opal's error-management software, helped us achieve long-time simulations beyond previously demonstrated scales.
Tackling a costly bottleneck in automotive design
Mazda, a global leader in automotive innovation, partnered with Q-CTRL to explore how quantum computing can transform the way vehicle frames are designed.
5X
reduction in required training data to deliver frame designs with improved performance, leveraging quantum machine learning models.
Working with Q-CTRL gave us a chance to explore a new and fast moving area of technology in a way that was grounded in our real design challenges. The team brought a strong mix of technical expertise and practical focus, helping us understand how quantum machine learning might fit into our workflow. It was a productive and insightful collaboration.
Unlocking hardware-efficient quantum gates with the ‘Rosetta stone’ of code
Boulder Opal enabled precision control of trapped-ion vibrations, realizing error-correctable qubits in a compact, hardware-efficient form.
2in1
Achieved 2 error-correctable logical qubits in 1 atom, reducing hardware demand and enabling scalable, hardware-efficient quantum processing.
Effectively, we store two error-correctable logical qubits in a single trapped ion and demonstrate entanglement between them. We did this using quantum control software developed by Q-CTRL, with a physics-based model to design quantum gates that minimise the distortion of GKP logical qubits, so they maintain the delicate structure of the GKP code while processing quantum information.
Preparing diverse cohorts with Black Opal for Digital Catapult’s hybrid learning Quantum Technology Programme
Helping Digital Catapult drive quantum computing adoption through education, industry partnerships, and hands-on learning with Black Opal.
4.8
out of 5 average participant rating for the program, including Black Opal, which was also credited with raising participants' confidence in their quantum computing abilities from 3.1 to 4.2 out of 5 by the end of the course.
The easy-to-use, intuitive Black Opal tool allowed our QTAP participants to quickly get up to speed with quantum computing, ready to trial their real-life business use cases. There was also some great material for participants who were curious to learn more about advanced topics.
