Securing Code in a Quantum World

The study details a quantum threat model, illustrating how Shor’s algorithm poses a complete vulnerability to asymmetric cryptographic primitives while Grover’s algorithm offers only a partial weakening of symmetric and hash-based algorithms; the associated tool identifies affected algorithm classes and responds through a four-stage pipeline, aligning with a projected timeline-based on CNSA 2.0-that anticipates the availability of cryptographically relevant quantum computers (CRQC) between 2030 and 2035.

A new automated pipeline leverages artificial intelligence and quantum-inspired risk assessment to pinpoint cryptographic vulnerabilities as we transition to post-quantum cryptography.

Quantum Control with Atomic Flows

The variation of ground state energy [latex]E_0[/latex] was determined as a function of [latex]k_0/N[/latex] using Schrödinger cat states, with parameter values of [latex]u_0 = -3.35 \times 10^{-6}[/latex], [latex]u_1 = -2.85 \times 10^{-3}[/latex], [latex]u_2 = 3.0 \times 10^{-3}[/latex], and [latex]p_0 = -1 \times 10^{-6}[/latex], demonstrating how even precisely defined conditions ultimately yield to the inherent uncertainty at the quantum level.

Researchers demonstrate a novel approach to manipulating qubits using the unique properties of spin-orbit coupled Bose-Einstein condensates and tailored nonlinear interactions.