Experimental Method for Achieving Classical Entanglement in Large Multi-Qubit Acoustic Analogue Systems (Large Multi Phi-bit Systems)

Case ID:

The invention is an experimental scalable multi phi-bit system using classical entanglement which can be used to enhance quantum computing. The method here exploits the non-linearity of the quantum computing systems to create logical phibits. The number of phibits is not constrained by the domains of the physical state and the approach here also allows for the definition of the space of states which lie the elastic states of multi phibit systems. Because of the lack of physical constraints, the size of space of states is 2^N where N is the number of phibits, which corresponds to an exponential scaling. This level of exponential scaling is vital to the implementation of quantum computing style algorithms.

Quantum computing is a growing field due to the potential for quantum computers to solve complex computations substantially faster than a regular computer. The field is also increasingly relevant as it shifts towards real world use due to applications in the pharmaceutical industry and around data security, among other uses. A major hurdle in the use of quantum computing is the expensive requirements of use. Along with physical obstacles such as the ultralow temperature quantum computers run at, they are often not scalable due to physical limitations which do not allow for an increase of qubits.

The invention here is a method that will allowed for a scalable multi phi-bit system, which will allow users to avoid many of the expensive requirements of quantum computing systems. By taking advantage of phi-bits, which is a two-level classical analogue of the qubit, the method here is not constrained by physical limitations on the number of phi-bits as the phi-bits are differentiated in the spectral domain. This can allow for the phi-bit states to scale at an exponential level. As a result, this method avoids many of the expensive requirements of quantum systems, including extremely low temperature operation, short computation times, and scalability.


  • Quantum computing


  • Novel method to quantum computing
  • Scalable
Patent Information:
Contact For More Information:
Tariq Ahmed
Sr Licensing Manager, College of Engineering
The University of Arizona
Lead Inventor(s):
Keith Runge
Md Arif Hasan
Pierre Deymier