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Q-CTRL digest
Run batch workloads with ease using Fire Opal’s latest feature: Asynchronous job execution
June 13, 2024
Our clients
Powering real-world quantum outcomes
Quantum technology promises to transform the economy. We expand the utility of quantum computers and deliver new quantum sensing capabilities, all through software.
Pioneering quantum infrastructure software
Quantum infrastructure software transforms bare-metal quantum processors into useful computational tools.
Our technology unleashes the hidden performance inside of the most powerful computers so you can achieve more.
100X
Improved value for end-users
10X
Improved value for end-users
1,000X
Improved algorithmic accuracy
A team of global experts
We have assembled the world’s foremost team of quantum control engineers. Our expert team has turned groundbreaking research into a unique and transformational software offering to power the quantum sector.
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Awards and recognitions
Most Innovative Companies
Top 100 Innovators
Australian Hero
2023 SIIA CODiE Finalist
Most Innovative Startup
Cool Vendor in Quantum Computing
The most important customers trust Q‑CTRL
Whether you are an enterprise user seeking to understand how to gain a strategic advantage with quantum computing, or leading a high-pace quantum R&D effort, we have solutions to help.
Learn quantum computing
Upskill for the quantum era and empower your team with the best edtech solution for individuals and enterprises.
Accelerate your research
Gain meaningful insights from today's machines and build the quantum platforms of the future with our professional quantum infrastructure software tools for researchers.
Improve hardware performance
Identify and combat noise and error sources that hide your hardware's potential.
Unleash latent hardware performance
The fastest way to boost your platform's utilization. Maximize hardware performance, stand out in a competitive market, and accelerate your development roadmap.
Real-world use cases
Nord Quantique is accelerating the path to useful quantum error correction with Boulder Opal
Nord Quantique used Boulder Opal to design a hardware-efficient QEC protocol for a superconducting system where quantum information is encoded in GKP states.
Read the case study
14%
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.
Dany Lachance-Quirion
VP of Quantum Hardware
,
Nord Quantique
Improving Army logistics with quantum computing
With Fire Opal, the Australian Army tested and validated a quantum computing solution on real hardware that promises to outperform their existing methods.
Read the case study
12X
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.
Marcus Doherty
Australian Reserve Officer
,
Australian Army
Enabling data loading for quantum machine learning with Fire Opal
BlueQubit demonstrated groundbreaking loading of complex distribution information onto 20 qubits for a QML application by using our error suppression product.
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8X
Better performance in terms of Total Variational Distance (TVD), which measures the deviation from perfect data loading.
As we develop novel techniques to solve some of the quantum industry’s hardest challenges, Fire Opal is an essential tool to reduce the impact of hardware noise and demonstrate successful results with deeper and wider circuits.
Hayk Tepanyan
Chief Technology Officer
,
Blue Qubit
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
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>2,500X
Reduction of quantum compute cost
We wanted to challenge Fire Opal’s capabilities by running a quite complex, unoptimized circuit. The results were extremely promising. The only comparable results we’ve seen have come from hardware that is currently too expensive to run extensive tests on.
Dr. Valtteri Lahtinen
Chief Scientific Officer
,
Q-CTRL Partner
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