Kvantify and IQM Demonstrate Quantum Chemistry Workflow on Real Hardware

Kvantify and IQM Quantum Computers have collaborated to demonstrate a complete workflow for performing a quantum chemistry calculation on quantum hardware. The companies are showcasing how to compute the ionization potential of ammonia, a crucial step in understanding molecular behavior, using Kvantify’s Qrunch technology and IQM’s Resonance cloud platform. This process allows participants to follow the entire workflow, from defining the molecular structure to executing the calculation on a quantum system; Patrick Ettenhuber, Quantum Innovation Manager at Kvantify, said the demonstration will show how quantum chemistry problems can be prepared and run on quantum systems. Intended for quantum developers and computational chemists, the demonstration highlights the integration of quantum software and hardware for practical research, with a webinar scheduled for April 9 to detail the process.

A demonstrated workflow allows for the direct computation of molecular properties on existing quantum hardware, showcasing a practical application of quantum chemistry beyond theoretical simulations. This process moves beyond algorithm development to establish a complete pathway from defining a molecular problem to obtaining results from a quantum processor, a significant step toward practical quantum computation.

IQM Resonance Platform Enables Native Calculation Execution

The ability to directly execute calculations on quantum hardware, bypassing layers of abstraction, is becoming increasingly vital for accelerating research in fields like materials science and drug discovery. Kvantify and IQM Quantum Computers are collaborating to showcase a complete process for performing quantum chemistry calculations directly on a quantum processor; this approach may reduce errors and improve efficiency by avoiding extensive software translation. This workflow encompasses the entire process, from defining the molecular structure to interpreting the results obtained from the hardware, offering a practical demonstration of how quantum software and hardware can integrate within existing research pipelines. Participants in the upcoming webinar will learn how to prepare calculations for hardware-native execution, a key step in maximizing the potential of quantum processors. The collaboration highlights the feasibility of applying these techniques to real-world problems by focusing on a well-known molecular system.