Quantum computers are getting bigger, but there are still few practical ways to take advantage of their extra computing power. To get over this hurdle, researchers are designing algorithms to ease the transition from classical to quantum computers. In a new study in Nature, researchers unveil an algorithm that reduces the statistical errors, or noise, produced by quantum bits, or qubits, in crunching chemistry equations. [1]

Figure 1. New Algorithm Helps Quantum Computer Crunch Chemistry Equations

Figure 1 shows the algorithm, developed by Columbia chemistry professor David Reichman, and postdoc Joonho Lee with Google Quantum AI researchers, uses up to 16 qubits on Sycamore, Google’s 53-qubit computer, to calculate the ground-state energy that lowest energy state of a molecule. “These are the largest quantum chemical calculations ever performed on a real quantum device,” Reichman said.

The ability to accurately calculate the ground-state energy will enable chemists to design new materials, said Lee, who is also a visiting researcher at Google Quantum AI. The algorithm could be used to design materials to accelerate nitrogen fixation for agriculture and hydrolysis to generate clean energy, among other sustainability goals, he said. [2]

The algorithm makes use of a quantum Monte Carlo, a system of strategies for calculating possibilities when there are numerous random, unknown variables at play, like in a sport of roulette. Here, the researchers used their algorithm to find out the bottom state power of three molecules: heliocide (H4), utilizing eight qubits for the calculation; molecular nitrogen (N2), utilizing 12 qubits; and stable diamond, utilizing 16 qubits. [3]

The hybrid classical-quantum calculations on this new work had been discovered to be as correct as among the finest classical strategies. This means that issues could possibly be solved extra precisely and/or rapidly with a quantum laptop than with out—a key milestone for quantum computing. Lee and his colleagues will continue to tweak their algorithm to make it more efficient, while engineers work to build better quantum hardware. [3]

References:

1. https://scitechdaily.com/new-algorithm-helps-quantum-computer-crunch-chemistry-equations/
2. https://minorupdate.in/new-algorithm-helps-quantum-computer-crunch-chemistry-equations/
3. https://learntoday.news/new-algorithm-helps-quantum-computer-crunch-chemistry-equations/

Cite this article:

Thanusri swetha J (2022), New Algorithm Helps Quantum Computer Crunch Chemistry Equations, Anatechmaz, pp.31