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  2. List of companies involved in quantum computing or ...

    en.wikipedia.org/wiki/List_of_companies_involved...

    Quantum Algorithms Quantum Software Technion – Israel Institute of Technology Tel-Aviv, Israel CogniFrame Inc [31] [32] 2019 Computing Quantum Algorithms Quantum and Near Quantum Solutions to solve NP Hard, Optimization, Simulation & Machine Learning problems. Has launched Plug and Play app store www.firstqstore.com

  3. Quantum image processing - Wikipedia

    en.wikipedia.org/wiki/Quantum_image_processing

    Quantum image processing (QIMP) is using quantum computing or quantum information processing to create and work with quantum images. [1] [2]Due to some of the properties inherent to quantum computation, notably entanglement and parallelism, it is hoped that QIMP technologies will offer capabilities and performances that surpass their traditional equivalents, in terms of computing speed ...

  4. Computational imaging - Wikipedia

    en.wikipedia.org/wiki/Computational_imaging

    Computational imaging systems span a broad range of applications. While applications such as SAR, computed tomography, seismic inversion are well known, they have undergone significant improvements (faster, higher-resolution, lower dose exposures [3]) driven by advances in signal and image processing algorithms (including compressed sensing techniques), and faster computing platforms.

  5. Quantum imaging - Wikipedia

    en.wikipedia.org/wiki/Quantum_imaging

    Quantum imaging [1] [2] is a new sub-field of quantum optics that exploits quantum correlations such as quantum entanglement of the electromagnetic field in order to image objects with a resolution or other imaging criteria that is beyond what is possible in classical optics.

  6. Density matrix renormalization group - Wikipedia

    en.wikipedia.org/wiki/Density_matrix...

    The density matrix renormalization group (DMRG) is a numerical variational technique devised to obtain the low-energy physics of quantum many-body systems with high accuracy. As a variational method, DMRG is an efficient algorithm that attempts to find the lowest-energy matrix product state wavefunction of a Hamiltonian.

  7. Medical image computing - Wikipedia

    en.wikipedia.org/wiki/Medical_image_computing

    The figure "Visualization of Medical Imaging" illustrates several types of visualization: 1. the display of cross-sections as gray scale images; 2. reformatted views of gray scale images (the sagittal view in this example has a different orientation than the original direction of the image acquisition; and 3.

  8. Linear optical quantum computing - Wikipedia

    en.wikipedia.org/wiki/Linear_optical_quantum...

    Superpositions of quantum states can be easily represented, encrypted, transmitted and detected using photons. Besides, linear optical elements of optical systems may be the simplest building blocks to realize quantum operations and quantum gates. Each linear optical element equivalently applies a unitary transformation on a finite number of ...

  9. Hamiltonian simulation - Wikipedia

    en.wikipedia.org/wiki/Hamiltonian_simulation

    Hamiltonian simulation (also referred to as quantum simulation) is a problem in quantum information science that attempts to find the computational complexity and quantum algorithms needed for simulating quantum systems. Hamiltonian simulation is a problem that demands algorithms which implement the evolution of a quantum state efficiently.