New Journal of Physics · 2014 · 15 citations · 45 references
Natural SciencesComputer SciencePhysicsComputational PhysicsQuantum ComputingQuantum MechanicsHamiltonian DynamicsHamiltonian SystemsQuantum ComputationQuantum ControlQuantum DynamicsQuantum SimulationDecoherence EffectsHamiltonian SimulationMany-body Quantum MechanicsMany-body Quantum SystemsQuantum HamiltonianQuantum Hamiltonian SimulationQuantum Many-body SystemsSpin Chains
We propose dynamical control schemes for Hamiltonian simulation in many-body quantum systems that avoid instantaneous control operations and rely solely on realistic bounded-strength control Hamiltonians. Each simulation protocol consists of periodic repetitions of a basic control block, constructed as a suitable modification of an "Eulerian decoupling cycle," that would otherwise implement a trivial (zero) target Hamiltonian. For an open quantum system coupled to an uncontrollable environment, our approach may be employed to engineer an effective evolution that simulates a target Hamiltonian on the system, while suppressing unwanted decoherence to the leading order. We present illustrative applications to both closed- and open-system simulation settings, with emphasis on simulation of non-local (two-body) Hamiltonians using only local (one-body) controls. In particular, we provide simulation schemes applicable to Heisenberg-coupled spin chains exposed to general linear decoherence, and show how to simulate Kitaev's honeycomb lattice Hamiltonian starting from Ising-coupled qubits, as potentially relevant to the dynamical generation of a topologically protected quantum memory. Additional implications for quantum information processing are discussed.
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Simulating physics with computers
Richard P. Feynman · International Journal of Theoretical Physics · 1982 · 7.5K citations
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