Quantum technology is poised to change the world – what will it do to the future of your industry? Get ahead of the competition by putting Q-CTRL to work for you. Q-CTRL helps you extract maximum performance from quantum technology through our portfolio of solutions.
Make it possible now with Q-CTRL. Deploy expert-grade solutions with ease and accelerate the path to practical impact in your industry.
Make possible practical and get more from quantum computers in the NISQ era.
Our solutions tackle the biggest challenges in quantum computing - decoherence and errors - so you can achieve better performance from today’s quantum hardware, with more reliable results.
Our products are offered either as cloud-based python packages or via an intuitive graphical interface for users at all levels.
Extract more - and more useful - information from quantum-enhanced sensors, resulting in previously unachievable sensitivity in target identification and tracking.
When it’s mission critical, Q-CTRL gives you access to decades of combined experience, opening up new worlds of opportunity for our aerospace and defense customers.
Quantum control is the key to putting quantum technology to work in defense settings - from magnetometry and gravimetry to inertial navigation. Boulder Opal can be used to optimize the controls used in quantum sensors for noise robustness in real platforms and extraction of maximum environmental information. To streamline control, state-tracking, and data fusion in embedded systems, contact us about our forthcoming Fire Opal package, customized to defense applications.
Learn how quantum technology can give you totally new capabilities in health and medicine, from drug discovery to new forms of magnetic resonance imaging.
The healthcare landscape is evolving and quantum technology will have major impacts on the field. From quantum computing to noninvasive imaging, Q-CTRL has the tools to help you stay ahead in the industry.
Q-CTRL software helps you take control in the quantum domain. In magnetic resonance imaging, our novel sequencing protocols and analytic tools help you see structures and dynamics in a new way.
The team at Q-CTRL has deep expertise across the field of quantum technology. We can help you extract maximum performance from your hardware in any application.
Our experience includes projects in:
Improving QC performance. Customized solutions to suppress errors like cross-talk and leakage, maximize gate speed, or identify sources of decoherence for novel device designs using superconducting circuits, semiconducting devices, neutral atoms, trapped ions, etc.
Tight-SWAP quantum sensors for defense, mining and space. Novel hardware designs for atomic-physics units deployed in gravimetry, magnetometry, and inertial navigation. Application of robust and spectrally narrow control concepts to the operation of quantum sensors for platform-noise rejection.
Driving research in academia and industry. Machine learning for quantum hardware operation and performance optimization, including magneto-optical-trap loading, superconducting-resonator readout, and image analysis using CMOS cameras. Reinforcement learning techniques for automation of hardware bringup.
New solutions in time and frequency metrology and industry. Machine-learning based software-only upgrades to improve the stability of locked oscillators. Includes application to Dick effect minimization in passive frequency standards or other low-bandwidth phase-lock loops.
However you’re engaging with quantum computing, Q-CTRL can help you do more.
Q-CTRL’s unique tools and stunning visualizations help you build real intuition for today’s imperfect quantum computers – and how to get more from them.Learn more
Use our lab-validated machine learning packages to reduce errors at the gate level, automate tuneup, improve measurements, and more.Learn more
Leverage custom tools, professional services, and our unmatched experience with cloud-based quantum hardware to outperform the competition.Learn more
For expert users and quantum R&D teams, Boulder Opal delivers highly optimized, error-robust quantum controls for the most complex devices. Our advanced Python package can be directly integrated with existing hardware to deliver maximum performance and reliability.Learn more
Don’t wait to take control of your quantum future with Q-CTRL.
Sign up and try our suite of professional-grade products free, for 30 days.
Q-CTRL is trusted by the world’s leading innovators, from information technology and consulting to transport and defense.
Navigational stability improvement with hybrid quantum navigation system.
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
Gate-level hardware improvement with Q-CTRL robust gates.
We used Qiskit Pulse and Q-CTRL’s Boulder Opal to run error-robust quantum gates on a five-qubit IBM Quantum Canary processor. These results show just how powerful pulse-level control can be for programming a quantum computer over the cloud.
Improvement in algorithmic success with Q-CTRL solutions.
This was a rare opportunity for some of our leading transport innovators and quantum computing experts to come together to tackle complex transport network management and congestion problems.
Andrew Constance, Minister for Transport and Roads
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
Reduction in gate duration
It was really easy to go from code to experiments. I started from the relevant notebook in the documentation, followed the steps, adapted when necessary, 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
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