Innovative New Algorithms Advance the Computing Power of Early-Stage Quantum Computers

A group of scientists at the Ames Institute of the US Department of Energy have developed a computational quantum algorithm that enables efficient and accurate simulation of the static and dynamic properties of quantum systems. Algorithms are a valuable tool for gaining deeper insights into the physics and chemistry of complex materials and are specifically designed to work with existing and near-future quantum computers.

Scientists Yong-Xin Yao and his research partners at Ames Lab use the power of advanced computers to speed up the discovery of condensed matter physics, incredibly complex quantum mechanics and their ultra-fast times. Model how it changes on a scale. Today’s high-performance computers can model the characteristics of very simple and small quantum systems, while larger or more complex systems require the computer to perform calculations to reach an accurate model. It increases numbers rapidly, slowing down the pace of discovery as well as calculations. ..

“Given the existing early stages of the present, this is a real challenge. Quantum computing “But these calculations are also a very promising opportunity, as they either overwhelm traditional computer systems or take too long to provide timely answers,” Yao said.

The new algorithm adaptively generates and adjusts the number and types of “knowledge-based guesses” that computers need to make to accurately describe the lowest energy states and evolving quantum mechanics of a system. Utilizes the functions of existing quantum computer functions. The algorithms are scalable and can accurately model larger systems using existing “noisy” (fragile and error-prone) quantum computers and their near-future iterations.

“Accurate modeling of spins and molecular systems is only the first part of our goal,” says Yao. The capabilities of these two algorithms can guide the experimenter’s efforts to control material properties such as magnetism, superconductivity, chemical reactions, and light energy conversion. “

“Our long-term goal is to reach the” quantum superiority “of materials. Quantum computing is used to achieve functionality not achieved by today’s supercomputers, “says Ames Research Center scientist Peter Oath.

This topic is further explained in the next two papers. (1) “Adaptive variational quantum mechanics simulation, “Created by Y.-X. Yao, N. Gomes, F. Zhang, C.-Z. King, K.-M. Ho, T. Published on Iadecola, and PP Orth; PRX Quantum; (2) “Adaptive variational quantum imaginary time evolution approach for ground state preparation, N. Gomes, A. Mukherjee, F. Zhang, T. Created by Iadecola, C.-Z. King, K.-M. Ho, PP Aus, Y.-X.Accepted at Yao; Advanced quantum technology..

Ames Research Center is a national laboratory of the US Department of Energy Sciences operated by Iowa State University. Ames Institute creates innovative materials, technologies and energy solutions. We use our expertise, unique capabilities, and interdisciplinary collaboration to solve global problems.

The Ames test is supported by the US Department of Energy’s Department of Science. The US Department of Science is the largest supporter of basic research in the US physical sciences, working to address some of the most pressing challenges of our time.

Innovative New Algorithms Advance the Computing Power of Early-Stage Quantum Computers Source link Innovative New Algorithms Advance the Computing Power of Early-Stage Quantum Computers

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