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Industries that we leverage

Qruise offers a comprehensive suite of services designed to meet the unique requirements of our clients. From custom quantum software solutions to hardware integration, our team of experts will work with you to understand your specific needs and develop a strategy that aligns with your business goals. We understand the complexities of quantum technologies, and we’re committed to helping you make progress faster. Our services include:

Quantum Computing


Quantum computing represents a monumental leap in computational capability, harnessing the peculiarities of quantum mechanics to perform complex calculations at unprecedented speeds. It's a field teeming with potential, from solving intricate scientific problems to revolutionizing humanity. Quantum computers operate using qubits – specialized quantum bits that are constructed using a variety of methods such as trapped ions, quantum electronic circuits, single atoms, photons, nuclear or electron spins. These computers harness unique quantum phenomena like superposition and entanglement, unlocking unprecedented computational power to tackle challenges previously unsolvable. Looking ahead, universal quantum computers are expected to have broad applications in numerous areas. They hold potential for process improvement, machine learning, business optimization, inventory control, and the digital simulation of complex quantum systems relevant in physics, chemistry, biology, pharmaceutical development, and materials science.
Quantum computing will however not become a “jack of all trade” solution. It won’t become a replacement tool but more a complement to current High-Performance Computers (HPC). A significant portion of the current classical computing challenges and software applications are not suitable for quantum computing. The majority of data processing tasks in businesses will continue to be handled by classical computing methods. Viewing this from an economic and historical standpoint, it’s likely that quantum computing won’t be a Schumpeterian innovation, meaning it won’t completely overtake and replace existing classical technologies. Instead, it will serve as a supplementary technology, enhancing rather than replacing traditional computing methods. This positions quantum computing as an incremental advancement rather than a complete replacement technology.

How Qruise Elevates Quantum Computing

At the heart of Qruise's innovation is its Digital Twin module. This white-box, physics-based simulation model leverages Machine Learning and Reinforcement Learning techniques to create a detailed predictive model of a quantum computer. This not only includes the quantum components but also intricately models control electronics and their imperfections, offering an unmatched level of detail in quantum computer simulation. Qruise's application of optimal control algorithms maximizes the performance of quantum hardware. By optimizing the modulation of pulse sequences, Qruise pushes operations to their physical limits, achieving minimal errors and maximal efficiency. The software's automatic recalibration counters the inherent drift in quantum devices, maintaining consistent performance and reliability. A unique feature of Qruise is its Error Budget module. It allows for an in-depth trace-back of performance bottlenecks, identifying specific physical phenomena that cause infidelity in quantum operations. This actionable information guides efforts to enhance hardware in subsequent iterations.

Quantum Sensing


Quantum sensing and metrology utilize the unique quantum characteristics of nature, including quantum phenomena, states, their universal consistency, and precise reproducibility. They also leverage the quantization of associated physical measurements and their heightened sensitivity to changes in the environment. When a simple quantum system, like a qubit, is linked to an external physical quantity, it alters the properties of the system, enabling the measurement of that quantity. An example of this is relaxometry, where magnetic noise shortens the lifespan of an excited state.
Most quantum sensors employ the interference properties of basic quantum systems, typically qubits, which are systems with two foundational states. These qubits are initially set in a prepared superposition state and subsequently connected to the external physical quantity to be measured. This connection changes the superposition's phase in a measurable way. Often, these quantum measurements can be translated into the value of the external physical quantity, resulting in greater absolute and relative precision than classical measurement methods can achieve.

Qruise's Impact on Quantum Sensing Models

Qruise's monitoring module provides real-time data on all critical parameters,from temperature to electromagnetic fields. This ensures the maintenance of optimal conditions necessary for quantum computations and enhances the accuracy and reliability of quantum sensors. With its model learning capabilities, Qruise fine-tunes sensingmodels, adapting them to provide more precise measurements and predictions.



Magnetic resonance imaging (MRI) is a quintessential application of quantum sensing, deeply rooted in the principles of nuclear magnetic resonance (NMR). The historical development of MRI as a quantum sensing technology began in the early 1970s with significant contributions from various researchers and institutions. Paul Lauterbur at Stony Brook University played a pivotal role in expanding the technique developed by Herman Carr and formulated a method to generate the first 2D and 3D MRI images using gradients. He published the theory behind this in 1973 and subsequently obtained the first cross-sectional image of a living mouse in January 1974. Around the same period, Peter Mansfield, a physicist at the University of Nottingham, developed the echo-planar imaging (EPI) technique, which was crucial for accelerating scan times and enhancing image clarity. The first full-body MRI scanner was built by a team led by John Mallard at the University of Aberdeen in the 1970s. The first clinically useful image of a patient's internal tissues using MRI was obtained on 28 August 1980 with this machine, identifying a primary tumor in the patient's chest, an abnormal liver, and secondary cancer in his bones. This marked a significant milestone in the practical application of MRI in medical diagnosis. Further advancements in MRI technology continued throughout the 1980s and 1990s, including the introduction of additional techniques such as MR angiography and diffusion MRI. The fundamental importance and applicability of MRI in medicine were recognized with the awarding of the 2003 Nobel Prize in Physiology or Medicine to Paul Lauterbur and Sir Peter Mansfield for their discoveries concerning magnetic resonance imaging. Modern MRI technology, especially at higher magnetic field strengths like 3 T for clinical imaging and 7 T for research, owes much to these early developments. The technology continues to evolve, with ongoing research in quantum sensing techniques, such as the use of diamond quantum sensors, offering potential to further enhance the resolution of MRI. Quantum sensing, a rapidly growing field within quantum technologies, leverages the principles of quantum mechanics to achieve highly precise measurements, far surpassing the capabilities of classical sensors. This technology finds applications in various industries, including biomedical, military, aerospace, and environmental monitoring. One of the primary applications is in MRI, where quantum sensors can significantly enhance sensitivity and resolution, leading to more detailed images and the detection of smaller anomalies. This improvement is crucial for early medical diagnoses. The operating principles of some quantum sensors like optically pumped magnetometers (OPMs) and nitrogen-vacancy (NV) magnetometers have been particularly noted for their potential in biomedical applications. NV centers in diamond, for instance, have been widely studied as quantum sensors, offering attractive properties such as functioning over large ranges of temperature and magnetic field, making them suitable for various applications including magnetometry and diagnostics at the cellular level.

How can Qruise help?

Qruise develops tools to accelerate the development of a wide range of physics-centric technologies, incuding NMR/MRI systems (e.g. hyperpolarized pyruvate for metabolic MRI). From enhanced precision and sensitivity to faster data acquisition, our solution can refine, accelerate and augment the NMR industry.

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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Innovation Council and SMEs Execitve Agency (EISMEA). Neither the European Union nor the granting authority can be held responsible for them. Grant agreement No 101099538