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Simulating infinitely many chaotic particles using a quantum computer

Pag-simulate sa walay katapusan nga daghang gubot nga mga partikulo gamit ang quantum computer

Quantum computer used in this work. a, Section of Quantinuum H1-1 segmented-electrode surface trap, showing five gate zones in purple (750-μm-wide ion-crystal extents and laser-beam waists not drawn to scale). The computer operates similarly to that described elsewhere (except for parallel-gate operation across the three central gate zones (G2–G4)), with 171Yb+ qubit ions (green) and 138Ba+ coolant ions (white) stored of two ions. or four-ion crystal. Arbitrary pairing of qubits is achieved by transporting ions along a linear radio-frequency null (dashed line) 70 μm above the surface. b, Sympathetic ground-state cooling followed by our two-qubit, phase-insensitive Mølmer-Sørenson gate implemented parallel to G2-G4 in Yb-Ba-Ba-Yb crystal configurations. Each crystal is roughly 8 μm in size, and the cooling and gating lasers (wavelengths, 493 and 368 nm, respectively) have a nominal beam waist of 17.5 μm. c, Typical (that is, representative of data acquisition duration) average fidelity of single-qubit (SQ) gates, two-qubit (TQ) gates and combined state preparation and measurement (SPAM) conducted through randomized benchmarking. Credit: Nature Physics (2022). DOI: 10.1038/s41567-022-01689-7

A group of researchers at Quantinuum, working with a colleague at the University of Texas, Austin, has developed a way to simulate infinitely many chaotic particles using a quantum computer running with finite number of qubits. In their paper published in the journal Nature Physicsthe group describes their technique.

To learn more about how molecules behave in materials, researchers have developed strategies to simulate their behavior on a computer. Such tests work well for simple operations but run into trouble when simulating complexity, such as an infinitely long line of particles interacting over a given period of time. Attempts at traditional supercomputers have failed, and researchers believe that a quantum computer can do the job very well. In this new effort, researchers have found that to be the case.

The researchers claim that the key to running an algorithm capable of dealing with such a problem lies in a design that not only implements the operations required to run the simulation but also adds code that allows the as a simulation run with some qubits. Once they had an algorithm they thought would work, the team turned to hardware. They chose a machine that uses qubits represented by ytterbium atoms—and they changed the number of qubits running from three to 11.

The researchers found that they were able to run their algorithm with a small number of qubits because they built a system that recycles qubits—as a qubit is used, those that have already been used are reset to their original state and then. used again—a technique called holographic dynamics. This process is repeated as the simulation runs. To test the system, the researchers ran a simulation of a process that had already been proven using other techniques. The team plans to test the system in a simulation that cannot be demonstrated using a conventional supercomputer.

The researchers successfully simulated a 64-qubit circuit

More information:
Eli Chertkov et al, Holographic dynamics simulations with a trapped quantum computer, Nature Physics (2022). DOI: 10.1038/s41567-022-01689-7

© 2022 Science X Network

Citation: Simulating infinitely many chaotic particles with a quantum computer (2022, August 5) retrieved 6 August 2022 from -quantum.html

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