科学家正在训练量子计算机辨识树木。这听起来可能并不重要,但这个结果意味着研究人员朝使用量子计算机解决复杂的机器学习问题(如模式识别和计算机视觉)更近了一步。通常,传统计算机已经能用复杂算法识别图像中的模型,但需要大量的内存和处理器耗能。这是因为传统计算机以二进制位(0或1)存储信 Scientists are training quantum computer to recognize trees. This may not sound as important, but the result means that researchers are even closer to using quantum computers to solve complex machine learning problems such as pattern recognition and computer vision. Traditionally, traditional computers have been able to identify models in images with complex algorithms, but require significant memory and processor power consumption. This is because traditional computers store the letter as a binary bit (0 or 1)