"Quantum supremacy" challenged. Instantaneous noise-based logic with benchmark demonstrations
Nasir Kenarangui, Walter C. Daugherity, Arthur Powalka, Laszlo B. Kish

TL;DR
This paper introduces Instantaneous Noise-Based Logic (INBL), a deterministic classical computing paradigm that mimics quantum exponential speedup without quantum hardware, demonstrated through benchmark applications like search and Deutsch-Jozsa algorithm.
Contribution
The paper presents INBL as a novel noise-based logic system capable of exponential speedup, challenging quantum supremacy claims with hardware-efficient, deterministic classical computations.
Findings
INBL achieves exponential speedup in search tasks.
Experimental results show INBL outperforms classical algorithms in speed.
INBL operates without decoherence or error correction.
Abstract
Instantaneous Noise-Based Logic (INBL) represents a computational paradigm that offers a deterministic alternative to quantum computing, potentially challenging the notion of quantum supremacy without relying on quantum hardware. INBL encodes logical information in orthogonal stochastic processes ("noise-bits") and exploits their superpositions and nonlinear interactions to achieve an exponentially large computational space of dimension 2^M, where M corresponds to the number of noise-bits analogous to qubits in quantum computing. This approach enables an exponential increase in computational throughput, with a computational speedup scaling on the order of O(2^M), while maintaining hardware complexity comparable to quantum systems. Unlike quantum computers, INBL operates without decoherence, error correction, or probabilistic measurement, yielding deterministic outputs with low error…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Mechanics and Applications · Statistical Mechanics and Entropy · Mathematical and Theoretical Analysis
