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Updated: May 15, 2026

Construction and Systematical Symmetric Studies of a Series of Supramolecular Clusters with Binary or Ternary Ammonium Triphenylacetates
Published on: February 15, 2016
A Sc2C2@C88-cluster-based ultra-compact multilevel probabilistic bit for matrix multiplication.
Haoran Qi1,2,3, Guohao Xi4, Yuan-Biao Zhou5
1National Laboratory of Solid State Microstructures, Collaborative Innovation Center of Advanced Microstructures, School of Physics, Nanjing University, Nanjing, China.
Researchers developed a novel information unit using Sc2C2@C88 exhibiting controllable multilevel states. This breakthrough enables high-quality randomness and efficient matrix multiplication for ultra-compact intelligent electronic devices.
Area of Science:
- Materials Science
- Nanotechnology
- Quantum Computing
Background:
- Current information units face physical limits in integration density, size, and probabilistic operations.
- Simultaneously achieving multistate and probabilistic characteristics in a single unit remains a significant challenge.
Purpose of the Study:
- To investigate stochastic alterations of multiple conductance states in Sc2C2@C88 for novel information processing.
- To demonstrate the potential of these multilevel states for generating high-quality random bits and performing matrix multiplication.
Main Methods:
- Real-time in situ electrical monitoring of Sc2C2@C88.
- Analysis of the autocorrelation function of generated random bit sequences.
- Experimental verification of a matrix-chain multiplication scheme using state-transition matrices.
Main Results:
- Observed stochastic alterations of multiple conductance states in Sc2C2@C88.
- Generated a true random bit sequence with high-quality randomness (autocorrelation confidence interval within ±0.02).
- Demonstrated controllable probability distributions for multistates, enabling prime factorization and matrix multiplication with low error (<0.05).
Conclusions:
- The stochastic but controllable multistates in Sc2C2@C88 are likely due to a rich energy landscape tunable by electric fields.
- These findings introduce extremely small multilevel probabilistic bits suitable for matrix multiplication.
- This research paves the way for the development of ultra-compact intelligent electronic devices.
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