We are at the forefront of the development of new comprehensive quantum technology based solutions. We develop algorithms and software based on these physics principles for it, as well as hardware platforms based on qubits control in our lab.
We combine a high level of expertise in quantum physics and photonics with our traditional strengths in electronics, radio frequency engineering, FPGA programming, artificial intelligence, cryptography, artificial intelligence and software development.
Our focus is on three different technology lines: the development of quantum sensing and metrology devices, the implementation of quantum communication protocols and platforms, and the development of quantum computing algorithms.
Quantum Sensing and Metrology
To develop new high-precision quantum sensors by controlling the quantum states of atomic platforms, solid-state or photonic chips, we have a quantum optics laboratory infrastructure and a highly qualified multidisciplinary team. Some of the metrology platforms can be used as tunable radio-frequency electromagnetic field sensors, magnetometers and highly sensitive quantum thermometers using advanced control sequences or entanglement techniques. Our solutions have applications in fields such as telecommunications (6G, wireless), defense, aerospace, biotechnology and others.
Quantum Communications
We are working on new quantum communication protocols based on Quantum Key Distribution (QKD), combining our expertise in quantum information theory with the use of appropriate instrumentation and detection systems.
We are also developing hardware platforms capable of operating efficiently as quantum communication repeaters. Their use will be essential for storing and distributing the information of entangled photons. We are thus contributing to the development of the future quantum Internet.
Quantum Computing
We combine our expertise in quantum physics, high-frequency electronics, electronic control systems, and FPGA programming to provide more accurate cubic control systems to increase the number of qubits and computational power of quantum computers.
Currently, existing quantum computers and simulators allow the development of algorithms capable of solving complex problems in a wide range of fields: from the management of logistics networks to the optimization of the use of communication channels, the optimal allocation of resources, or the simulation of new materials or drugs. Gradiant is working to develop software that integrates new quantum computing algorithms and quantum machine learning (QML) to provide robust solutions in various fields.
