The Google Quantum AI team showcases quantum computing and its future possibilities.

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At a recent event, Charina Chu, director and COO of Google Quantum AI, and Eric Lucero, lead of quantum engineering at Google, discussed the fundamentals, misconceptions, and future applications of quantum computing. Their goal was to clarify the true potential of quantum computers while dispelling common myths.

Cho began by addressing the current state of quantum computing.

“Nature is not classical, dammit. And if you want to make a simulation of nature, you make it quantum mechanical,” he said, quoting Nobel laureate Richard Feynman. He emphasized that even with today's best AI, many aspects of nature are difficult to emulate, stressing the potential of quantum computers to overcome these challenges. “Here is our thesis. Quantum computers are a will be powerful tools,” Chu added.

Lucero explained some of the fundamental concepts of quantum mechanics and their implications for computing.

“Quantum is the language of nature, and I believe that art inspires our creativity, it prompts us to explore scientific possibilities, and it welcomes people to ask questions,” he said. He also pointed to unique properties of quantum systems, such as superposition and entanglement, that enable quantum computers to solve complex problems faster than conventional computers.

Addressing common misconceptions, Chu noted: “To date, no quantum computer has outperformed a supercomputer in a real-world application.” He explained that while quantum computers have shown promise in some areas, they are not yet universally superior to classical computers. “Quantum computers will be complementary to classical computers, performing better for some, but not all classes of problems,” he added.

Lucero discussed the practical aspects of building and operating a quantum computer. He explained how qubits, the basic units of quantum computing, are created and maintained.

“We fabricate artificial atoms with superconducting electrical circuits with only two surfaces. We fabricate them just like you fabricate a computer chip, with the difference that we have to cool these systems,” Lucero said. said

Looking ahead, both Chu and Lucero expressed optimism about the future of quantum computing.

“Quantum simulation, the idea of ​​using a quantum computer to simulate molecules and materials, is expected to be called exponential speed-up,” Chu remarked, before Lucero added: “We're impossible. believe in achieving, and we believe in this reward will help catalyze these great ideas and turn these impossibilities into reality.

The Google Quantum AI team is committed to pushing the boundaries of quantum computing to tackle complex problems that classical computers cannot solve. Through ongoing research and development, they aim to harness the full potential of this groundbreaking technology, advancing areas such as drug discovery and energy optimization.

Featured Image: Credit: Google

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