Nature isn’t classical
Unfortunately, modelling fundamental constituents of matter is not an easy task as the quantum physics that govern matter on such length scales is extremely difficult to simulate exactly, and, despite the colossal advances in computing thanks to Moore’s Law over the last 50 years, such modelling remains very much intractable. For example, the current record for an exact simulation is only 24 electrons: a small molecule like caffeine has 24 atoms, let alone 24 electrons.
The reason for this seemingly insurmountable task is that today’s computers rely upon classical physics to simulate the quantum physics of matter. Prof. Richard Feynman, the Nobel prize-winning physicist, famously stated that “Nature isn’t classical, if you want to make a simulation of nature, you’d better make it quantum mechanical.” In other words, if you want to simulate a quantum system like a molecule, you should use a quantum system.
Modelling complex systems
Quantum computers are such a quantum system and offer a route to modelling complex molecules and materials to exact levels of accuracy.
Continuing the caffeine example, to represent exactly all the information contained in the molecule requires 2^160 classical bits, equivalent to 1-10 percent of all of Earth’s atoms.
A quantum computer, on the other hand, only requires a much more manageable 160 quantum bits. Using classical computing, modelling a molecule like penicillin, which has less than double the number of atoms of caffeine, would require more bits than there are atoms in the observable universe.
Leveraging the power of quantum computing today
With the quantum computers available today, scientists are starting to simulate simple systems, which are gradually increasing in complexity as quantum computers develop.
But how can you leverage today's quantum computers to go beyond these simple systems and simulate industrially relevant molecules and materials?
We have developed EUMEN, a state-of-the-art, enterprise-grade quantum computational chemistry package and development ecosystem enabling a new era of molecular and materials simulations.
EUMEN is currently in advanced beta testing and has been developed in close collaboration with Fortune 500 partners.
EUMEN’s modular workflow enables both computational chemists and quantum algorithm developers to easily mix and match the latest quantum algorithms with advanced subroutines and error mitigation techniques to obtain best-in-class results using quantum platforms.
With EUMEN, users have access to unparalleled customization and control of their quantum chemistry experiments, and can leverage advanced qubit encoding and embedding techniques to reduce resource requirements, thereby unlocking the modelling of larger systems using today’s quantum devices.
Learn more about quantum chemistry and EUMEN at Cambridge Quantum