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arxiv: 1707.04760 · v2 · pith:YKKGDVAXnew · submitted 2017-07-15 · 🪐 quant-ph · cond-mat.mes-hall· cond-mat.quant-gas· cond-mat.str-el

Hardware-efficient fermionic simulation with a cavity-QED system

classification 🪐 quant-ph cond-mat.mes-hallcond-mat.quant-gascond-mat.str-el
keywords simulationfermionicschemecavity-qedcircuitdepthdigitalencoding
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In digital quantum simulation of fermionic models with qubits, non-local maps for encoding are often encountered. Such maps require linear or logarithmic overhead in circuit depth which could render the simulation useless, for a given decoherence time. Here we show how one can use a cavity-QED system to perform digital quantum simulation of fermionic models. In particular, we show that highly nonlocal Jordan-Wigner or Bravyi-Kitaev transformations can be efficiently implemented through a hardware approach. The key idea is using ancilla cavity modes, which are dispersively coupled to a qubit string, to collectively manipulate and measure qubit states. Our scheme reduces the circuit depth in each Trotter step of the Jordan-Wigner encoding by a factor of $N^2$, comparing to the scheme for a device with only local connectivity, where $N$ is the number of orbitals for a generic two-body Hamiltonian. Additional analysis for the Fermi-Hubbard model on an $N\times N$ square lattice results in a similar reduction. We also discuss a detailed implementation of our scheme with superconducting qubits and cavities.

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