Physical Implementations of Quantum Computation

Kalle‐Antti Suominen

J. I. Cirac

Anas N. Al‐Rabadi, G.G. Lendaris

Neural network (NN) implementation using the general scheme of many-valued (MV) quantum computing (QC) is presented in this paper. The proposed method uses the many-valued orthonormal computational basis states to implement such computations. Physical implementation of NNQC is performed by controlling the potential to yield specific wavefunction as a result of solving Shrodinger's equation that governs the dynamics of QC.

Eric C. Chi, S. A. Lyon, Margaret Martonosi

In recent years, quantum computing (QC) research has moved from the realm of theoretical physics and mathematics into real implementations. With many different potential hardware implementations, quantum computer architecture is a rich field with an opportunity to solve interesting new problems and to revisit old ones. This paper presents a QC architecture tailored to physical implementations with highly mobile and persistent quantum bits (qubits). Implementations with qubit coherency times that are much longer than operation times and qubit transportation times that are orders of magnitude faster than operation times lend greater flexibility to the architecture. This is particularly true in the placement and locality of individual qubits. For concreteness, we assume a physical device model based on electron-spin qubits on liquid helium (eSHe).

Ivan B. Djordjević