Draft:Bloch sphere representation in mode-counting quantum models

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C-Wave Quantum Computing

C-Wave Quantum Computing is a theoretical model for quantifying the information capacity of a physical system based on mode-counting in space, time, and frequency. The concept introduces the parameter C, which specifies the dimension of the Hilbert space per mode and links it to known results from quantum information theory.

Introduction

The C-Wave model was developed to revise an earlier, inconsistent formulation. The main objectives are:

  • To make the mathematical formulation physically consistent.
  • To define the parameter C unambiguously.
  • To connect the concept to quantum information theory.
  • To establish testable relationships and provide numerical estimates.
 
Schematic

New formula and meaning of C

Original formula

 

Problems:

  • Units are not consistent.
  • C undefined.
  • Exponential scaling without physical justification.

Revised formula (mode-counting)

 

where:

  •   (polarization factor)
  •   = maximum frequency cut-off
  •   = speed of light

Definition of C

 

  • Qubit encoding:  
  • Continuous-variable encoding:  , where   is the maximum photon number.
 
Parameter

Derivation from mode-counting

  1. Volume of a sphere:  
  2. Number of spatial modes up to  :  
  3. Time-slot factor:  
  4. Total number of orthogonal slots:  
  5. Relation to original notation: with  :  

Numerical examples

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Scenario        
A — Superconducting chip 5 mm 10 GHz 300 μs  
B — Optical scale 1 cm 200 THz 1 μs  
C — Microscale 1 μm 1 THz 1 ns  
 
Scenarios

Implications and limitations

  • Control and addressing: Large   does not automatically imply usable capacity; hardware constraints matter.
  • Coherence and dephasing: Limit the effectively usable time  .
  • Energy cut-offs: Necessary in CV systems to achieve finite  .
 
Cuttoff

“The information capacity of a 4D sphere with radius   and time window   is given by:”

 

where   and   determines the number of bits per mode.

References

  • Nielsen, M. A., & Chuang, I. L. Quantum Computation and Quantum Information.
  • Braunstein, S. L., & van Loock, P. Rev. Mod. Phys. 77, 513 (2005).
  • Cywiński, Ł., et al. Phys. Rev. B 77, 174509 (2008).

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