量子计算仍需加强基础研究

Core Viewpoint - Current research in quantum computing remains in the realm of basic science, with significant advancements needed in error correction capabilities across various platforms [1][2][3] Group 1: Quantum Computing Platforms - The platforms for quantum computing, including neutral atoms and photons, are now competitive with ion and superconducting platforms [1][2] - Different quantum computers have unique characteristics and standards, making simple comparisons difficult; the number of qubits is just one indicator of performance [2][3] - Recent investments in quantum computing platforms by the US and Europe have reached approximately 500 million euros each over the past two years [3] Group 2: Challenges and Developments - Quantum computers face challenges such as high sensitivity to interference and noise, which affects their reliability [3][4] - Error correction is crucial for the functionality of quantum computers, and significant progress has been made in achieving fault-tolerant quantum information [3][4] - The best quantum computers in Germany are still in university laboratories, with various startups exploring different quantum computing directions [4] Group 3: Integration with Classical Computing - Current quantum computing still requires support from classical computing for data analysis and operational understanding [4] - Successful integration of quantum processors into supercomputers has been demonstrated, highlighting the importance of a robust network for quantum computing development [4]