Machine learning

Computer vision in technical data analysis

Machine learning is applied to share price analysis. The share price histogram is divided into windows from which the future predictions are made. The model uses tensorflow and keras. The model accuracy can be over 90% depending on how the initial conditions are set.


More details about the theory is found here.

More topics about machine learning, e.g.
  • Autonomous learning investment algorithm
  • Machine learning in breaking of numbers

Quantum computing

Phase manipulation in quantum cryptography

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The study bases on a geometrical phase associated to the Schrödinger equation in a three level system. When two Stimulated Raman Adiabatic Passage (STIRAP) processes are applied in a row; first the counterintuitive process and then the intuitive order process, the population is transferred back to the initial quantum state. The phase of the new state can be well controlled.

As an example, let's assume we have two states; the initial state \(\psi_1(x) \), the final state \(\psi_2(x) \) and the time shift between the laser pulses is \( \Delta T = 1/6 \). After the quantum transitions, the final state has obtained a phase \(\psi_2(x) = \psi_1(x)\exp(i\pi/6) \). The probabilities of the wave functions are the same \(|\psi_1|^2 = |\psi_2|^2\), but the quantum state is different. The situation is shown in the enclosed figure.


The applications include, for example, phase manipulation in quantum cryptography, phase gates in quantum computing and phase interactions in quantum interference. More details about the theory is here.

More topics about quantum computing and quantum cryptography, e.g.
  • Quantum computing - Hadamard gate
  • Monopoles and confinement

Blog and articles

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