The Future of Quantum Information Processing
As classical computational power grows, some problems continue to remain impractical to solve at large scales, becoming intractable for any typical use case. By leveraging knowledge of quantum interactions, recent algorithms promise efficient alternatives to the limited classical solutions. Although quantum information processing and quantum computing have been well established as fields of significant research interest, efforts to make these technologies scalable still pose significant challenges. Rather than following this same path of atom or electron spin to build qubits, or even exploring other properties of light such as polarization or spatial modes, encoding information in the wavelength or frequency of light supports a swath of potential advantage. This research will explore the use of a frequency mode space for quantum information processing in the mature platform of silicon photonics, focusing on the fundamental operation of a Hadamard transformation.
