A team of scientists from the U.S. Department of Energy's Ames National Laboratory demonstrated a way to advance the role of quantum computing in materials research with an adaptive algorithm for simulating materials. Quantum computers have potential capabilities far beyond today's computers, and using an adaptive algorithm allows them to produce solutions quickly and accurately.
This article has been reviewed according to Science X's editorial process and policies . Editors have highlighted the following attributes while ensuring the content's credibility: Noisy qubit adaptive derivative-assembled pseudo-trotter (ADAPT) simulations and analysis of e g model. a Difference between the exact ground state energy E GS and qubit-ADAPT noisy simulation results with a uniform two-qubit gate error rate p 2 = 10−1 (black line), 10−3 (orange line), 10−4 (sky blue line) and 0 (bluish green line). We use a uniform single-qubit error rate p 1 = 10−4 and N sh = 216 shots per measurement circuit. b Energy differences evaluated using statevector for the adaptive ansätze obtained in the noisy simulations. The noisy simulations are performed with the Hamiltonian commutator pool of size 56. Credit: Communications Physics (2023). DOI: 10.1038/s42005-022-01089-6 Quantum computers have a completely different way of computing than the computers we use today. They are built of quantum bits, or qubits, which can encode much more information than the bits in today's computers. These unique capabilities allow quantum computers to make calculations beyond what is currently possible with classical computers. A team of scientists at Ames Lab are working to harness the power of quantum computers to make materials research easier and more efficient. A primary research focus at Ames Lab is rare earth materials. These materials are used in a variety of technology, including smart phones, computer…