Real-world use cases
Featured customer stories
Developing a quantum-assured navigation solution
Q-CTRL worked with Advanced Navigation to develop a new hybrid approach to quantum navigation augmented by quantum control, enabling high positioning accuracy over very long periods of GPS denial.
Navigational stability improvement.
This groundbreaking application of autonomous quantum sensors in space exploration will be invaluable in leveraging extraterrestrial resources to establish permanent human bases on the Moon, Mars and beyond.
Improving Army logistics with quantum computing
Fire Opal improved the performance of quantum computers to a level that the early results could finally give the Army confidence that quantum route optimization could be a feasible way to improve convoy logistics, allowing them to build a roadmap toward implementing the solution at scale.
improvement in the likelihood of finding an optimal solution with Fire Opal over the default hardware execution
Optimally routing 120 convoys can take more than a month of classical computation. The Australian Army is evaluating the potential of quantum computing to provide improvements; however, it’s been difficult to validate the feasibility of a quantum solution due to hardware noise. With Fire Opal, an algorithmic enhancement software, we are able to achieve results on quantum computers that build confidence in our quantum roadmap.
Nord Quantique is accelerating the path to useful quantum error correction with Boulder Opal
Employing Boulder Opal’s closed-loop optimization engine, Nord Quantique successfully demonstrated a quantum error correction protocol that extends the lifetime of their logical qubit over the case without quantum error correction.
increase in logical qubit lifetime
Given the complexity of the physics at play, being able to perform closed-loop optimization of a few physically motivated parameters of the quantum error correction protocol with Boulder Opal is very valuable to us.
Northwestern looks to the heart of the universe with robust quantum sensors
With Boulder Opal, Northwestern was able to design noise-robust pulses for cold atom interferometers 10x better than alternatives, opening the way to build devices capable of detecting dark matter and gravitational waves.
different noise sources can be suppressed simultaneously with a single optimized robust control pulse for atom interferometry.
The breadth and flexibility of Boulder Opal allowed us to create our own optimization scenario and obtain pulses robust to the five most relevant experimental noise sources at the same time!
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Reducing quantum compute costs 2,500X with Fire Opal
With Fire Opal, a financial company was able to run algorithms on more cost-effective hardware systems while achieving results comparable to more premium systems. By increasing the likelihood of achieving successful outcomes and reducing the total number of executions required to find useful solutions, costs were further reduced.
Improving robustness to quantum-logic calibration errors by 7X
Q-CTRL developed new optimized quantum logic gates and integrated their tools with Quil-T to build robustness against error into quantum logic gates.
Chalmers achieves 8X faster quantum logic using Boulder Opal
With Boulder Opal, Chalmers was able to design totally new numerically optimized gates that enable massive speedups without introducing new gate errors.
The University of Sydney
Making sense of quantum noise with machine learning
Q-CTRL’s quantum control engineers developed a new machine-learning tool allowing high-fidelity reconstruction of the spectral “fingerprint” of noise, given measurement data.
Transport for NSW
Delivering quantum computing for faster commuting
Q-CTRL worked with TfNSW to improve the performance of quantum algorithms relevant to transport optimization problems and charted a path to quantum advantage.