Quantum-computational chemistry as-a-service
Our postdoc level staff, supported by our academic advisors, work closely together with your in-house experts to identify which of your chemical and material problems can already be simulated at the desired accuracy. We translate the relevant Hamiltonian dynamics for those problems to the appropriate quantum-algorithms and implement these on the best available quantum-processors from our hardware-partners, after which we can help you integrate these novel methods in your existing workflows and enterprise solutions. With our services you will be well positioned to take the lead with this promising new technology.
Chemical and material discovery typically involves many iterative synthesis-formulation-testing cycles in a laboratory, which is very costly and time-consuming. In-silico (computer based) chemistry-simulations offer a speedy and cost-effective alternative. However, for many relevant chemical and material problems, the calculation time at the desired accuracy scales, on classical computers, exponentially with the problem size making many problems out of reach for even the most powerful high-performance computers. The ability to more accurately simulate large-size chemistry and material-science problems will have a disruptive impact on material-, chemical- and drug-discovery and design activities worldwide.