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Updated: May 23, 2025

Generation and Coherent Control of Pulsed Quantum Frequency Combs
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Correlation free large-scale probabilistic computing using a true-random chaotic oscillator p-bit.

Woojin Lee1, Hyunjin Kim1, Hyundo Jung1

  • 1Department of Electrical Engineering, Korea University, Seoul, Korea.

Scientific Reports
|March 7, 2025
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Summary
This summary is machine-generated.

A new chaotic oscillator p-bit offers scalable probabilistic computing. This quantum-inspired method overcomes limitations of previous p-bits, enabling reliable large-scale computations with high energy efficiency.

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Area of Science:

  • Quantum-inspired computing
  • Probabilistic computing hardware

Background:

  • Probabilistic computing utilizes probabilistic bits (p-bits) for enhanced search speed and connectivity.
  • Existing p-bit implementations using linear feedback shift registers (LFSRs) or magnetic tunnel junctions (MTJs) face scalability issues due to periodicity, correlation, or device variations.

Purpose of the Study:

  • To introduce a novel, fully CMOS frequency-scalable p-bit design.
  • To address the limitations of current p-bit technologies for large-scale probabilistic computing applications.

Main Methods:

  • Implementation of a discrete-time flipped-hook tent-map chaotic oscillator for p-bit functionality.
  • Characterization of the chaotic oscillator's noise voltage distribution and p-bit response alignment.
  • Evaluation of the p-bit's performance in factoring semiprimes and its energy efficiency.

Main Results:

  • The chaotic oscillator generates high-quality, uniformly distributed noise voltage across the supply range, ensuring calibration-free, aligned p-bit responses with 8-bit resolution.
  • Chaotic oscillator p-bits successfully factored 64-bit semiprimes, surpassing LFSR-based p-bits' correlation limitations.
  • Achieved energy efficiency of 4.26 pJ/bit at 1.8 V supply voltage.

Conclusions:

  • The proposed chaotic oscillator p-bit presents a robust and highly random solution for scalable probabilistic computing.
  • This design offers a promising new direction for advancing large-scale probabilistic computing systems.