153 citations · 729 across the 37 of their papers we have counts for
5 papers · 2 filters
Entanglement in a quantum neural network based on quantum dots
Mikhail V. Altaisky, Nadezhda N. Zolnikova, Natalia E. Kaputkina +3
We studied the quantum correlations between the nodes in a quantum neural network built of an array of quantum dots with dipole-dipole interaction. By means of the quasiadiabatic p…
Crushing runtimes in adiabatic quantum computation with Energy Landscape Manipulation (ELM): Application to Quantum Factoring
Richard Tanburn, Oliver Lunt, Nikesh S. Dattani
We introduce two methods for speeding up adiabatic quantum computations by increasing the energy between the ground and first excited states. Our methods are even more general. The…
Reducing multi-qubit interactions in adiabatic quantum computation without adding auxiliary qubits. Part 1: The "deduc-reduc" method and its application to quantum factorization of numbers
Richard Tanburn, Emile Okada, Nike Dattani
Adiabatic quantum computing has recently been used to factor 56153 [Dattani & Bryans, arXiv:1411.6758] at room temperature, which is orders of magnitude larger than any number atte…
Reducing multi-qubit interactions in adiabatic quantum computation without adding auxiliary qubits. Part 2: The "split-reduc" method and its application to quantum determination of Ramsey numbers
Emile Okada, Richard Tanburn, Nikesh S. Dattani
Quantum annealing has recently been used to determine the Ramsey numbers R(m,2) for 3 < m < 9 and R(3,3) [Bian et al. (2013) PRL 111, 130505]. This was greatly celebrated as the la…
Towards a feasible implementation of quantum neural networks using quantum dots
Mikhail V. Altaisky, Nadezhda N. Zolnikova, Natalia E. Kaputkina +3
We propose an implementation of quantum neural networks using an array of quantum dots with dipole-dipole interactions. We demonstrate that this implementation is both feasible and…