< Hybrid Quantum Computing >
To understand and use quantum devices‘ power, one can either operate these devices or simulate their operation. We provide stateoftheart quantum simulator that can simulate not only the best current lownoise quantum devices, but also the future quantum devices. The simulation is achieved by costefficient hardware that runs 40qubit quantum circuits.
The range of quantum simulator’s applications is vast:
Our quantum simulator opens a door into the quantum computing world. With our new quantum simulator, all the advances of quantum theory can now be tested and utilized. The simulator provides a convenient way to observe the quantum speedup and understand quantum hardware for practical problems of interest.
Our quantum simulator is problemsolving hardware for client’s needs. By working together with our clients, we develop new quantum algorithms based on client’s tasks and running it on the quantum simulator. Solving complex tasks with our algorithms on the simulator provides confidence that with the rapid improvement of the hybrid quantumclassical hardware components, even more complex problems will be solved.
The software stack of QMware offers both, a native hybrid quantum machine and the possibility for 3^{rd} parties to plug in hardware or applications based on another software environments.
Our inbuilt quantum simulator is an essential tool for quantum software developers. Both industrial software developers and academic researchers can test their hypotheses, ideas, and algorithms directly using our cloud quantum simulator. Running complex quantum algorithms on the simulator bridges the gap between quantum theory and practical use. We also provide interface and software support for running code on the quantum simulator. Our quantum simulator is a perfect tool for cuttingedge technological development workflow.
Our quantum simulator can be used as a benchmark for current and future quantum devices. Precise simulation implemented on a quantum simulator provide an exact expectation from a perfect quantum device. Hence, the quantum simulator is a convenient cloudbased tool that can estimate the effectiveness of current, e.g., superconductingbased or ionbased, qubit registers.
“Predictions are hard to make, especially when it comes to the future.” This saying is definitely true, when one has not sufficient data. But some patterns repeat in a very predictive way, e.g. the upcoming failure of a machine. When we see this the first time, we could not predict it. But if we have lots of data where it happened before, then we can use predictive analytics to calculate when it will likely happen next time.
This kind of predictive analytics can already be done in a efficient way with conventional computers and selflearning artificial intelligence. But what about systems which change over time, or are not fully understood in a clear computer model, like humans acting on stock markets, or climate change models, which vary a lot today?
The answer is given by brute force with a hybrid quantum computer: calculate a wide variety of superpositions where you do not sufficiently know about your system to predict and look for the annihilation of unknown parameters.
In this manner, we can find novel ways to surprisingly predict the time evolution of large systems, while their components maintain seemingly stochastic behavior. The only prerequisite is the access to a large hybrid quantum computer like QMware delivers.
The specialty of QMware in the realm of Big Data is the deep knowledge of Hybrid Quantum Algorithms which evolve from basic Quantum Information Theory of which George Gesek is one of its founders. In order to leverage the new Quantum Technology for Software, it is important to construct Hybrid Algorithms from scratch.
QMware’s Hybrid Quantum HPC is the first commercially available system to develop hybrid quantum algorithms and run them on any future quantum processing hardware. In this manner we enable our customers for the first time to securely invest today in tomorrow’s technology.
Quantum Internet is a new type of network using qubits instead of classical bits to convey information. It utilizes both quantum and classical communication channels.Quantum Internet may provide a new level of secure communication between remote users.
Among other things, it may become a new platform for the specifically quantum applications, e.g., integration of remote quantum computational resources.
The biggest advantages of Quantum Internet are:

Secure communication

Secure identification

Position verification

Secure dedicated computing
QMware uses their own unique Hybrid Quantum HPC technology to build the first Quantum Cloud for real use cases in the 5 most receptive verticals which are the following.
QMware’s Quantum Cloud has the capability to disrupt business habits, offers new ways in business processes, introduces computational solutions in new groundbreaking fields of science and environmental technologies, increases the model sizes in engineering and provides novel optimization solutions for logistics.
In particular, Hybrid Quantum Computing empowers these verticals with the following:
All this is possible because of the sheer superior computational power of QMware’s Hybrid Quantum Computers, which are at the core of QMware’s first globally available Quantum Cloud.
Since our customers develop and run highly mission critical applications with deeply important intellectual property, QMware’s Quantum Cloud is rigorously secured and managed according the highest GDPR standards within a GAIAX conform architecture.
Financial Services
The financial world is a highly diverse conglomerate of players already both, artificial and human. In each transaction, there are just a few acceptable parameters but overwhelmingly many undesirable possibilities. One of the strengths of Hybrid Quantum Computing is to find optimized ways in such complex market models, even if some or many of the input parameters are fuzzy. Where you get an error with classical computers, a quantum machine can handle seemingly contradicting schemes.
Derived from the possibility to calculative variegate such highly complex models like global markets, al kind of financial analysis become feasible not only for past, but also for future events. QMware will provide you with unprecedented arithmetical power in the Quantum Cloud, so you can significantly step ahead of your competitors.
Engineering
Engineers have succeeded in modelling machines, such as Digital Twins, or setting up prediction models like Predictive Maintenance. Nevertheless, finite element methods or huge manifolds of interdependent timelines of data probe conventional computer architectures and set the limits often too low to exploit the real value of Big Data.
With its large memory nodes, QMware’s Hybrid Quantum Cloud has the right answer for the needs of modern engineering. Large amounts of data are computed in different processor types, each optimized for certain algorithms and data models.
Science & Medical Technologies
Of course, a Hybrid Quantum Computing Platform is easy to use for the simulation of quantum systems themselves, which occurs not only in particle physics like CERN carries out, but also in many types of molecular simulations. The applications reach from material science to medical analytics of drugs.
One of the strengths of our Quantum Cloud is the huge central memory of the fastest type to built big analytical models and simulations. These new capabilities will bring micro biology and the development of intelligent materials to unprecedented flourishing.
Logistics & Automotive
Today’s global supply chains are not less interactive than the financial world, but physics and its unbendable rules come into play. IoT networks deliver vast amounts of data and classical computer architectures get swamped by erratic IOdriven tasks and user behavior. In addition, safety for people and goods is at the uppermost attention and time delays caused by slow computers cannot be tolerated. These are major hindrances for the obvious progress caused by new technologies like autonomous vehicles or drones and automated routing, which would be beneficial to the whole vertical and not to forget the positive environmental impact.
The sheer transactional power of QMware’s Hybrid Quantum Cloud and EDGE systems take you and your organization to a new era of possibilities in logistics. Autonomous vehicles or realtime traffic regulation and optimization will change the way we commute and live.
Environmental Technologies & Energy
Our ecosystem is both, local and global. Everything is connected and the efficiency of our production and distribution facilities, like the energy grid, highly depends on complex rational decisions, often needed fast and accurate. How we get along with our global environment, our climate and natural resources is vital for the future of our species.
QMware is proud to support bot commercial organizations and NGOs with the most powerful computers in the First Global Quantum Cloud. Please get in contact with our experts to evaluate the environmental footprint of your project and let us significantly speed up the path to a sustainable economy and future for the generations to follow. Our Quantum Cloud is highly equipped with computational simulation power and our experts help our partners to get private and governmental funding for mutual projects.
We create unique Quantum Value for your Organization and thus make you fit for the Quantum Era. We have prepared the following areas of Quantum Technology Development for your Organization.
Your organization benefits from:
 IP Generation
 Application Evaluation & Development
 R&D Projects with governmental substitutions
 Education (Quantum Software Engineering, Lectures, Lab Trips)
Application Evaluation & Development
In Quantum Informatics, Quantum Information has to be stored and processed. Quantum physicists tend to see Quantum Information as a different, even hard to comprehend concept of Information. One of the central statements made by Georg Gesek in his version of the Theory of Quantum Information pinpoints Information as one universal concept rather than different kinds of Information used by physicists and computer scientists.
According TQI, Information always exists as undividable units that assemble larger systems by connecting among themselves. Hence, instead of thinking of Information in our conventional computers (Bits) to be fundamentally different from Quantum Information (Qubits), TQI explains the difference between the appearances of those two types of information with the principle of interaction.
Considering the Bits in a Turing Machine as pieces of MetaInformation; on their physical entities, electrical current floating or electrons merely still standing, which makes the difference between a 0 and a 1, the two states of a classical Bit.
Thus, electrons and their movement compose a Bit, which refers to an energy level in the subatomic system. Since the electrons in the case of classical ones collide (interact) much more often with the atomic bodies of the solid crystal than the Bit is read and written, thus their appearance is understood as “classical objects” described with statistical mechanics.
According to TQI, to make the electrons of the Bit quantized objects by themselves, one has to prevent them from interactions, at least for a considerable long time compared to the changes of the logical Bit. Superconductors can do the job!
In the latter case, the electrons become describable with quantum mechanics, and behave as quantum objects. Georg Gesek therefore proposes the seamless merge of existing computer technologies with quantum objects to obtain fully integrated Hybrid Quantum Information Systems. The following aspects derive the principles of technologies leading to such systems we call Quantum Informatics Devices.
Quantum Informatics is based on the control of Quantum Objects in terms of their Quantum Information. One does not need to use all the Quantum Information for this purpose such an object consists of, but has to make sure, that the unused parts do not interfere with the valid Quantum Information. In the latter case there would be an error marked to the yield of Information. This is definitely the case with most of the existing quantum computing systems, which have to be considered as in an early stage for the development of practicable usable quantum computers. The current implementations of Quantum processors by Google or IBM suffer badly from these errors on their Qubits.
For obvious reasons, there will be no detailed explanation how to avoid such errors in this document, but we can identify the possible objects nature provides us with to implement the carriers of Quantum Information, the Qubits, into our technology.
We need a stabile physical system which does not interact with anything else than our apparatus of the Quantum Information control unit. This leads us to the possible use of stable elementary particles and their compounds. In our universe, there are only 4 known stable and free particles available: the photon, the neutrino, the electron and the proton. Actually, the neutron behaves stable in composition with protons building an atomic core, so we can consider these compounds as well.
Thus, nature “helps” us by limiting the amount of usable elementary particles for practically usable Quantum Information Systems to a fair amount. Furthermore, we do not yet know a practicable detector for neutrinos; therefore, we ignore them in our consideration until future technology for communication will make use of their property to pass huge amounts of matter, so e.g. a direct signal from the far side of the moon to earth would be possible, passing the 3.474km of rock on the spur of the moment.
There, the wellknown approaches for the physical implementation of Quantum Informatics Devices derive:
 Photonic systems
 Superconducting electronic systems
 Atomic & solid state body systems
IP Generation
Our Rapid Prototyping System shortens Deep Tech development cycles by a factor of 10! In this manner we provide your organization with an unprecedented technological advantage in your field of business.