MIT researchers have proposed a new quantum factoring algorithm that combines the best elements of two previous attempts. The new algorithm is as fast as one proposed by New York University computer scientist Oded Regev, and as memory-efficient as Peter Shor’s algorithm, creating a higher tolerance to quantum noise. The research team suggests this development could influence the creation of innovative encryption methods resistant to quantum decryption.

Identity Theft Surges as Criminals Deploy Advanced Tactics to Steal Personal Data
In 2024, identity theft surged, leading to over $16 billion in U.S. losses. Criminals exploit generative AI, deepfakes, and sophisticated phishing tactics, with synthetic identity