Co-Processors for Quantum Devices
arXiv:1710.04932 · doi:10.1103/PhysRevA.97.032316
Abstract
Quantum devices, from simple fixed-function tools to the ultimate goal of a universal quantum computer, will require high quality, frequent repetition of a small set of core operations, such as the preparation of entangled states. These tasks are perfectly suited to realisation by a co-processor or supplementary instruction set, as is common practice in modern CPUs. In this paper, we present two quintessentially quantum co-processor functions: production of a GHZ state, and implementation of optimal universal (asymmetric) quantum cloning. Both are based on the evolution of a fixed Hamiltonian. We introduce a new technique for deriving the parameters of these Hamiltonians based on the numerical integration of Toda-like flows.
11 pages, 5 figures v2: added neat new observation that the Ising evolution can be converted into creating a controlled-not gate, controlled off parity of a pair of qubits, targeting every qubit in the system v3: extended version
References in corpus (18)
- Probing many-body dynamics on a 51-atom quantum simulator
- Coupling Superconducting Qubits via a Cavity Bus
- Lieb-Robinson bounds and the generation of correlations and topological quantum order
- Perfect Transfer of Arbitrary States in Quantum Spin Networks
- Mirror Inversion of Quantum States in Linear Registers
- Spin Chains as Perfect Quantum State Mirrors
- Coherent Quantum Transport in Photonic Lattices
- Perfect state transfer on a spin-chain without state initialization
- Experimental Perfect Quantum State Transfer
- Perfect State Transfer: Beyond Nearest-Neighbor Couplings
- Quantum Speed Limit for Perfect State Transfer in One Dimension
- 99%-fidelity ballistic quantum-state transfer through long uniform channels
- Quantum Networks on Cubelike Graphs
- State Transfer and Spin Measurement
- Optimal Cloning and Singlet Monogamy
- Global Control Methods for GHZ State Generation on 1-D Ising Chain
- Generating Quantum States through Spin Chain Dynamics
- Tailoring Spin Chain Dynamics for Fractional Revivals