#3993 Applications of Probabilistic Computing
#3993 Applications of Probabilistic Computing #3993 List in order of feasibility and importance near-term applications of probabilistic computing As we approach the end of 2025, probabilistic computing—specifically using p-bits (probabilistic bits) rather than the deterministic bits of classical computers or the coherent qubits of quantum systems—is emerging as the most practical bridge for solving high-complexity problems. Unlike quantum computers, which require extreme cryogenic cooling and error correction, probabilistic computers can often run at room temperature using existing CMOS-compatible hardware like Magnetic Tunnel Junctions (MTJs) or specialized silicon chips. Here are the near-term applications of probabilistic computing, ranked by their feasibility (readiness for deployment) and importance (impact on industry). 1. True Random Number Generation (TRNG) & Cybersecurity Feasibility: Very High (Already in initial deployment) Importance: High The Application: ...