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World-first quantum computer simulation of chemical bonds using trapped ions

Quantum chemistry expected to be one of the first applications of full-scale quantum computers

July 24, 2018
University of Sydney
Simulation of chemical bonds and reactions is expected to be one of the first applications for at-scale quantum computers. Physicists have now demonstrated the world-first simulation of a chemical bond using trapped ion qubits, one of the most promising pathways to full-scale quantum computing.

An international group of researchers has achieved the world's first multi-qubit demonstration of a quantum chemistry calculation performed on a system of trapped ions, one of the leading hardware platforms in the race to develop a universal quantum computer.

The research, led by University of Sydney physicist Dr Cornelius Hempel, explores a promising pathway for developing effective ways to model chemical bonds and reactions using quantum computers. It is published today in Physicial Review X of the American Physical Society.

"Even the largest supercomputers are struggling to model accurately anything but the most basic chemistry. Quantum computers simulating nature, however, unlock a whole new way of understanding matter. They will provide us with a new tool to solve problems in materials science, medicine and industrial chemistry using simulations."

With quantum computing still in its infancy, it remains unclear exactly what problems these devices will be most effective at solving, but most experts agree that quantum chemistry is going to be one of the first 'killer apps' of this emergent technology.

Quantum chemistry is the science of understanding the complicated bonds and reactions of molecules using quantum mechanics. The 'moving parts' of anything but the most-simple chemical processes are beyond the capacity of the biggest and fastest supercomputers.

By modelling and understanding these processes using quantum computers, scientists expect to unlock lower-energy pathways for chemical reactions, allowing the design of new catalysts. This will have huge implications for industries, such as the production of fertilisers.

Other possible applications include the development of organic solar cells and better batteries through improved materials and using new insights to design personalised medicines.

Working with colleagues at the Institute for Quantum Optics and Quantum Information in Innsbruck, Austria, Dr Hempel used just four qubits on a 20-qubit device to run algorithms to simulate the energy bonds of molecular hydrogen and lithium hydride.

These relatively simple molecules are chosen as they are well understood and can be simulated using classical computers. This allows scientists to check the results provided by the quantum computers under development.

Dr Hempel said: "This is an important stage of the development of this technology as it is allowing us to set benchmarks, look for errors and plan necessary improvements."

Instead of aiming for the most accurate or largest simulation to date, Dr Hempel's work focused on what can go wrong in a promising quantum-classical hybrid algorithm known as variational quantum eigensolver or VQE.

By looking at different ways to encode the chemistry problem, the researchers are after ways to suppress errors that arise in today's imperfect quantum computers and stand in the way of near-term usefulness of those machines.

Error suppression is at the core of research pursued in the University of Sydney's Quantum Control Laboratory, led by Professor Michael Biercuk, who recently launched Australia's first private quantum start-up, Q-CTRL. Dr Hempel, who did the experiments while at the University of Innsbruck, now hopes to leverage Sydney's expertise to improve what can be accomplished with these kinds of simulations.

The paper, published today in journal Physical Review X, was jointly written with Innsbruck Professor Rainer Blatt, a pioneer in quantum computing, and former Harvard professor Alán Aspuru-Guzik, who has since moved to the University of Toronto.

Professor Blatt, from IQOQI in Innsbruck, said: "Quantum chemistry is an example where the advantages of a quantum computer will very soon become apparent in practical applications."

Head of the University of Sydney Nano Institute's quantum science domain, Dr Ivan Kassal, said: "This work is a remarkable implementation of one of the most promising approaches to quantum chemistry, proving its mettle on a real quantum-information processor."

He said that Dr Hempel's decision to move to the University of Sydney in 2016 was an excellent addition to the strong quantum team on campus. "Theoretical chemistry and materials science are strengths at this university and they will be augmented by these latest techniques in quantum computation," he said.

Story Source:

Materials provided by University of Sydney. Note: Content may be edited for style and length.

Journal Reference:

  1. Cornelius Hempel, Christine Maier, Jonathan Romero, Jarrod McClean, Thomas Monz, Heng Shen, Petar Jurcevic, Ben P. Lanyon, Peter Love, Ryan Babbush, Alán Aspuru-Guzik, Rainer Blatt, and Christian F. Roos. Quantum Chemistry Calculations on a Trapped-Ion Quantum Simulator. Phys. Rev. X, 24 July 2018 DOI: 10.1103/PhysRevX.8.031022

Cite This Page:

University of Sydney. "World-first quantum computer simulation of chemical bonds using trapped ions." ScienceDaily. ScienceDaily, 24 July 2018. <>.
University of Sydney. (2018, July 24). World-first quantum computer simulation of chemical bonds using trapped ions. ScienceDaily. Retrieved April 20, 2024 from
University of Sydney. "World-first quantum computer simulation of chemical bonds using trapped ions." ScienceDaily. (accessed April 20, 2024).

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