But for now, even without that error correction, quantum machine learning prevailed. The journal was launched in October 2005. Eventually, scientists plan to build quantum computers that can correct their own errors ( SN: 6/22/20). Nature Physics, published by the Nature Publishing Group, is a scientific journal focusing on pure and applied physics. Quantum machine learning won out there, too, even though Google’s quantum computer is noisy, meaning errors can slip into calculations. Rather than measuring a real quantum system, the team used simulated quantum data, and analyzed it using either quantum or classical techniques. So the researchers tested machine learning tasks with Google’s quantum computer, Sycamore ( SN: 10/23/19). “It’s crucial to understand if this is realistic, if this is something we could see in the lab or if this is just theoretical,” says Dorit Aharonov of Hebrew University in Jerusalem, who was not involved with the research. Unlike a classical computer, a quantum computer can exploit entanglement - ethereal quantum linkages - to better analyze the results of multiple experiments.īut the new work goes beyond just the theoretical. The researchers proved theoretically that doing the same characterization with standard, or classical, techniques would require exponentially more experiments in order to learn the same information. Publishing formats include letters, articles, reviews, news and views. Read the latest Research articles from Nature Physics.
NATURE PHYSICS PROFESSIONAL
The chief editor is Andrea Taroni, who is a full-time professional editor employed by this journal. It was first published in October 2005 (volume 1, issue 1). Quantum data from multiple experiments could be input into a quantum computer’s memory, and the computer would process the data jointly to learn the quantum system’s characteristics. Nature Physics, is a monthly, peer-reviewed, scientific journal published by the Nature Research. In one, scientists aim to discern properties of the quantum system, such as the position and momentum of particles within. Huang and colleagues studied several such tasks. A region of decreased pressure on a sound wave is called a rarefaction. A region of increased pressure on a sound wave is called a compression (or condensation). Sound can travel through any medium, but it cannot travel through a vacuum.
In certain machine learning tasks, scientists attempt to glean information about a quantum system - say a molecule or a group of particles - by performing repeated experiments, and analyzing data from those experiments to learn about the system. Sound is a longitudinal, mechanical wave.
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