New Journal of Physics · 2011 · 19 citations · 33 references
ComputingComputer SciencePhysicsCondensed Matter PhysicsQuantum ComputingQuantum MechanicsComputational Quantum MechanicsQuantum AlgorithmsQuantum BitsQuantum ComputationQuantum DynamicsQuantum SimulationControl Of Superconducting QubitsQuantum Circuit SimulationQuantum Hamiltonian SimulationQuantum Simulation AlgorithmsSuperconductivity Simulations
We consider simulating the BCS Hamiltonian, a model of low temperature superconductivity, on a quantum computer. In particular we consider conducting the simulation on the qubus quantum computer, which uses a continuous variable ancilla to generate interactions between qubits. We demonstrate an O(N^3) improvement over previous work conducted on an NMR computer [PRL 89 057904 (2002) & PRL 97 050504 (2006)] for the nearest neighbour and completely general cases. We then go on to show methods to minimise the number of operations needed per time step using the qubus in three cases; a completely general case, a case of exponentially decaying interactions and the case of fixed range interactions. We make these results controlled on an ancilla qubit so that we can apply the phase estimation algorithm, and hence show that when N \geq 5, our qubus simulation requires significantly less operations that a similar simulation conducted on an NMR computer.
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Quantum computation and quantum information
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