Optmization of molecules according to specification of targets. targets that can be nanocomponents with specific characteristics for electronics or key molecules for specific illnesses.
Using machine learning for a variety of objetives.
A fast way to approche solutions of chemical including biochemical systems could be a combination of molecular dynamics with quantum mechanics.
With the help of quantum computers we can much faster get the physical and chemical properties to identify and develop molecules that might help to cure illnesses and diseasesf. We prepare companies to be ready for the change.
Quantum comnputers and devices are going to positevely change the world we develope software and hardware for specific goles.
From getting the physical-chemical properties we can design a device that can detect the observables of the molecule.
Quantum computers are at the beginning of their existence, the biggest quantum computer called Condor made by IBM contains just 1,121 qubits, to represent well all molecular particles and quantum algorithms we need much more power; we believe that we need to rethink our conception of computers in a way that depends of the quantity of entangled quantum states that a certain molecule can offer in a multistate molecular switch arrangement. Using the materials we are working with the multistate enables quantum bits or qubits that can exist in multiple states simultaneously, known as superposition, allowing quantum computers to process a vast number of possibilities simultaneously.
Both areas began with the discovery of the Shrödinger equation, solving this equation gave us all the physical and chemical properties of molecules by quantum mechanics calculations of the electronic structure. We are developing a software called QWave based on quantum chemistry by using the two principal components of quantum computers superposition and entanglement with the purpose of connect quantum chemistry and quantum computing for material candidates.
Quantum machine learning uses the power of quantum mechanics and quantum computing to speed up and enhance the machine learning done on the “classical” computers we use every day. Quantum computers are designed using the often counter-intuitive laws of quantum physics and can store and process exponentially more information than the tablets, smartphones, and supercomputers that power much of the modern world. Quantum algorithms are computational algorithms designed to run on quantum computers, taking advantage of the same principles of quantum mechanics to potentially solve certain problems more efficiently than classical algorithms running on classical computers. We use a combination of both quantum machine learning and quantum algorithms to drastically accelerate processes to apply the advantage on drug discovery for example or any other area of scientific knowledge.
We used molecular dynamics (MD) as a computational technique to simulate the behaviour and interactions of atoms and molecules over time. It's a powerful tool in various scientific fields, including chemistry, biochemistry, materials science, and condensed matter physics. Molecular dynamics simulations provide insights into the structure, dynamics, and thermodynamics of molecular systems at the atomic level. These techniques combined with quantum mechanics (QM) techniques form a powerful computational approach known as QM/MM (Quantum Mechanics/Molecular Mechanics) simulations. QM/MM simulations merge the accuracy of quantum mechanics in describing the electronic structure of a small, chemically important region (usually containing the active site, reaction centre, or a subset of atoms) with the efficiency of classical molecular mechanics in describing the remainder of the system.
Integrating quantum mechanics into drug discovery enhances our understanding of molecular interactions and enables more accurate predictions of drug-target binding, ultimately accelerating the drug development process. However, it's important to note that quantum mechanical calculations can be computationally intensive and could lead, given the complexity of the molecules, to a failing process and that's why quantum computers are the solution of this processes.
The quantum materials we are working with exhibit novel electronic, magnetic, and optical properties arising from quantum mechanical effects at the atomic and subatomic levels. These materials display behaviours that defy classical understanding and have the potential to revolutionize various technologies, including electronics, computing, energy storage, and quantum information processing. With a combination of cold atoms, quantum electronics, trapped ions, quantum sensing and superconducting we think we can mitigate the quantum noise in a very particular framework,
We can give you a free state-of-the-art advice for the needs of your company in this new quantum software era.
We can give you a free state-of-the-art advice for the needs of your company in this new quantum hardware era.
