We show that all operations can be done directly on encoded information. We do three types of logical-qubit operations: initializing the logical qubit in any state, transforming it with gates, and measuring it. This is what a fault-tolerant computer must ultimately do: process and protect data from errors all at the same time. candidate Jorge Marques further explains, “Until now researchers have encoded and stabilized. This integration of high-fidelity logical operations with a scalable scheme for repeated stabilization is a key step in quantum error correction,” says Prof Barbara Terhal, also of QuTech.įirst author and Ph.D. ![]() “We show that we can do all the operations required for computation with the encoded information. The researchers at TU Delft, together with colleagues at TNO, have now realized a major step toward this goal, realizing a logical qubit consisting of seven physical qubits (superconducting transmons). The basic idea thus is that if you increase the redundancy and use more and more qubits to encode data, the net error goes down. Second, it will use quantum parity checks interleaved with computation steps to identify and correct errors occurring in the physical qubits, safeguarding the encoded information as it is being processed.” According to theory, the logical error rate can be exponentially suppressed provided that the incidence of physical errors is below a threshold and the circuits for logical operations and stabilization are fault tolerant. “First, it will process quantum information encoded in logical qubits rather than in physical qubits (each logical qubit consisting of many physical qubits). “Two capabilities will distinguish an error corrected quantum computer from present-day noisy intermediate-scale quantum (NISQ) processors,” says Prof Leonardo DiCarlo of QuTech. Fortunately, the theory of quantum error correction stipulates the possibility to compute while synchronously protecting quantum data from such errors. These errors arise from various sources, including quantum decoherence, crosstalk, and imperfect calibration. Physical quantum bits, or qubits, are vulnerable to errors. Credit: DiCarlo Lab and Marieke de Lorijn. More Qubits Artistic image of a seven-transmon superconducting quantum processor similar to the one used in this work. The researchers report their findings in the December issue of Nature Physics. They have integrated high-fidelity operations on encoded quantum data with a scalable scheme for repeated data stabilization. 17, 2021 - Researchers at QuTech-a collaboration between the TU Delft and TNO-have reached a milestone in quantum error correction. This paper is focusing on concepts of artificial intelligence, quantum computing and current problems in quantum computing.Since 1987 - Covering the Fastest Computers in the World and the People Who Run Themĭec. Similarly quantum neural network, quantum algorithms are helping artificial intelligence for solving specific problems. ![]() ![]() Many of quantum computing problems such as de-coherence can be solved by artificial neural network assisted error correction code. Artificial intelligence and quantum computing are becoming complimentary to each other and helping each other in evolution. These quantum computers are feasible to solve specific problems which were not possible with classic computers. Quantum mechanics and information theory based quantum information systems & quantum computer have become promising choice. Newer artificial neural network based solutions require higher computational power to train the system in shorter time. ![]() Computational power of classic computational machine is approaching to its maturity. Machine learning and deep learning solutions have become prevalent and become feasible for solving complex problems with higher precision in lesser time which was not possible earlier. Artificial intelligence has become promising and fast evolving technology now days.
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