![]() "That's very explicitly the next big milestone," says Hartmut Neven, who leads Google's Quantum Artificial Intelligence lab. The early leaders in quantum computing-Google, Rigetti, and IBM-have all trained their sights on that target. "You're trying to build a ship that remains the same ship, even as every plank in it rots and has to be replaced," explains Scott Aaronson, a computer scientist at the University of Texas, Austin. And all agree with Kuperberg on the first step: spreading the information ordinarily encoded in a single jittery qubit among many of them in a way that maintains the information even as noise rattles the underlying qubits. "It is really the difference between a $100 million, 10,000-qubit quantum computer being a random noise generator or the most powerful computer in the world," says Chad Rigetti, a physicist and co-founder of Rigetti Computing. If some experts question the significance of Google's quantum supremacy experiment, all stress the importance of quantum error correction. "I consider it a more relevant benchmark," he says. So scientists must learn to correct such errors, and Kuperberg had expected Google to take a key step toward that goal. But they're also fragile, and the slightest interaction with their surroundings can distort them. Embodied in ions, photons, or tiny superconducting circuits, such two-way states give a quantum computer its power. ![]() In contrast, a quantum computer employs quantum bits, or qubits, that can be both 0 and 1 at the same time, the equivalent of you sitting at both ends of your couch at once. Whether it's calculating your taxes or making Mario jump a canyon, your computer works its magic by manipulating long strings of bits that can be set to 0 or 1. He had expected Google to aim for a goal that is less flashy but, he says, far more important. However, Greg Kuperberg, a mathematician at the University of California, Davis, who specializes in quantum computing, wasn't so impressed. Some said the milestone, known as quantum supremacy, marked the dawn of the age of quantum computing. Both quantum circuits- and measurement-based quantum computational models are described The next part of the book is spent investigating physical realizations of quantum computers, encoders and decoders including photonic quantum realization, cavity quantum electrodynamics, and ion traps In-depth analysis of the design and realization of a quantum information processing and quantum error correction circuits This fully up-to-date new edition will be of use to engineers, computer scientists, optical engineers, physicists and mathematicians.In October 2019, researchers at Google announced to great fanfare that their embryonic quantum computer had solved a problem that would overwhelm the best supercomputers. These include: Key topics include: Quantum error correction codes (QECCs), including stabilizer codes, Calderbank-Shor-Steane (CSS) codes, quantum low-density parity-check (LDPC) codes, entanglement-assisted QECCs, topological codes, and surface codes Quantum information theory, and quantum key distribution (QKD) Fault-tolerant information processing and fault-tolerant quantum error correction, together with a chapter on quantum machine learning. In additional to the fundamental principles of quantum computation, basic quantum gates, basic quantum algorithms, and quantum information processing, this edition has been brought fully up to date, outlining the latest research trends. The Second Edition of Quantum Information Processing, Quantum Computing, and Quantum Error Correction: An Engineering Approach presents a self-contained introduction to all aspects of the area, teaching the essentials such as state vectors, operators, density operators, measurements, and dynamics of a quantum system.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |