Insider Brief:
- Qruise and Quantum Machines announced a partnership to integrate Qruise’s machine learning software with Quantum Machines’ hardware.
- Recent joint research between the companies demonstrated an improved fidelity of superconducting quantum gates using Qruise’s Model Learning algorithm to characterize and correct signal distortions.
- This partnership will provide quantum researchers with additional tools for higher control and potentially faster device setup, which could, in turn, accelerate R&D cycles.
PRESS RELEASE — In a recent release, Qruise, a leader in machine learning software for physics-based R&D, and Quantum Machines, a provider of processor-based quantum controllers, announced a partnership dedicated to the advancement of quantum technology. This collaboration will integrate Qruise’s software with Quantum Machines’ hardware, creating a solution for researchers and developers in the quantum computing field.
The partnership follows recent joint research between the two companies that achieved notable enhancements in the fidelity of superconducting quantum gates. Building on this success, Quantum Machines will offer Qruise’s software as an add-on to its OPX Control Platform, enabling users to perform high-precision control, calibration, and characterisation of quantum devices.
Advancing Quantum Gate Fidelity through Joint Research
In a collaborative study conducted earlier this year, Qruise and Quantum Machines applied Qruise’s advanced Model Learning algorithms to improve superconducting flux-based entangling gates. This joint research focused on one of the key challenges highlighted in the study: scaling quantum computing through achieving high-fidelity two-qubit gates for reliable quantum operations.
According to the research, the distortion of control signals caused by imperfections in control electronics can lead to inaccuracies in quantum gate operations and ultimately hinder the performance and reliability of quantum systems. Traditional approaches to resolving this focus on correcting specific signal distortions. However, these methods often require running multiple complex experiments, each targeting a different aspect of the signal. As noted in the research, Qruise’s Model Learning algorithm offers a more efficient solution by integrating data from multiple experiments to develop a highly accurate digital twin of the quantum system, allowing researchers to pinpoint and correct various sources of noise and distortion in one go.
Using this method, the research team identified and learned 83 system parameters, including the qubit-qubit coupling and flux periodicity, by analyzing a single plot. The results were validated through three methods and revealed improved phase shift correction by 10%. According to the final results, the algorithm allowed for the automatic tuning of models to resolve flux distortion and outperformed traditional methods.
“The combination of Quantum Machines hardware and Qruise software will allow labs to get going quicker, bring-up their devices to higher fidelities, and gain deeper insight into the factors limiting device performance, accelerating the entire R&D cycle,,” said Dr. Shai Machnes, CEO of Qruise.
Enhancing Quantum Device Performance with Integrated Solutions
By combining Qruise’s software with QM’s OPX controllers, the partnership will provide quantum researchers and developers additional tools to improve the fidelity and efficiency of their quantum systems. According to the release, Qruise’s software rapidly characterizes quantum devices and produces highly accurate Digital Twins, providing users with deeper insights into the sources of noise and distortion that limit performance.
Omri Shoshan, Chief Business Officer of Quantum Machines, commented on the partnership, “By integrating Qruise’s advanced Model Learning algorithms with our OPX Control Platform, we’re offering researchers and developers an unprecedented level of control and insight into their quantum systems. This collaboration aligns perfectly with our goal of driving quantum breakthroughs and accelerating the path to practical quantum computers. ”
A Synergistic Partnership for Quantum Research and Development
This collaboration brings together the strengths of both companies to provide a comprehensive solution for quantum labs, improving the precision of quantum device control and overall performance. As indicated in the release, the intention for the integration of Qruise’s software with QM’s hardware is to allow quantum researchers to bring their devices online faster and operate them at peak efficiency.
