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Bringing quantum advantage to enterprise

Gain a strategic advantage with powerful enterprise workflows

Solutions for enterprises adopting quantum computing

A new technology that will change the economy

Quantum computing is set to transform industries. The Boston Consulting Group has indicated that quantum computing will be an $850 Billion industry by 2050.

The power of quantum computers will help solve problems that have otherwise been intractable - problems that have been hidden away but can deliver enormous strategic advantages.

A frictionless quantum software toolchain

Choosing the right toolchain to get going in quantum computing can be a painful process. Information is scattered, expertise is required, and connectivity is poor. Through our solutions and partnerships you can find everything you need in a single frictionless toolchain.

Read more about IDC’s thoughts on our unique approach.

Step 1: Education and empowerment

Learn the basics of quantum computing visually and interactively.

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Step 2: Application and algorithm design

Parnership

Design your own quantum applications with ease and synthesize efficient quantum algorithms at scale through our partners.

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Step 3: Optimized execution and test

Automate performance optimization and hardware execution to give you the right answer from today’s quantum hardware.

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Real-world use cases

>180X

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.
Steven Marshall, Premier of South Australia
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>10X

Gate-level hardware improvement.

We used Qiskit Pulse and Q-CTRL’s Boulder Opal to run error-robust quantum gates on a five-qubit IBM Quantum Canary processor delivering better value for users
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>200X

Improvement in algorithmic success.

We could see all trains, busses, ferries, trams and motorways essentially ‘talking to each other’ to find out where customers are and deploy resources where needed.
Andrew Constance, Minister for Transport and Roads
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<1PPM

Sensitivity error-source identification during quantum logic.

The team at Q-CTRL was able to rapidly develop a professionally engineered machine learning solution that allowed us to make sense from our data and gain real insights into how to improve our hardware.
Dr. Cornelius Hempel
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>8X

Reduction in gate duration.

It was really easy to go from code to experiments and it simply worked! We’re now using Q-CTRL pulses that allow us to cut the time of our gates by eight times.
Marina Kudra, PhD student at Chalmers
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7X

Improvement in gate robustness to amplitude miscalibration.

Q-CTRL’s work has the potential to significantly improve algorithmic performance and hardware stability in quantum processors.
Alex Hill, Rigetti
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5

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!
Zilin Chen, Postdoc at Northwestern University
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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 & Co-Founder at Quanscient
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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, Army Research Officer, SO1 Quantum Technologies, Australian Army
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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 Quantum Hardware
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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
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