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Title: Hardware-efficient fermionic simulation with a cavity–QED system

Journal Article · · npj Quantum Information
 [1]; ORCiD logo [2];  [3];  [4]
  1. Univ. of Maryland and National Inst. of Standards and Technology (NIST), College Park, MD (United States). Joint Quantum Inst. (JQI)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  3. Dartmouth College, Hanover, NH (United States). Dept. of Physics and Astronomy
  4. Univ. of Maryland and National Inst. of Standards and Technology (NIST), College Park, MD (United States). Joint Quantum Inst. (JQI), Inst. for Research in Electronics and Applied Physics (IREAP) and Dept. of Electrical and Computer Engineering

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. In this, 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 N2, 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 × N square lattice results in a similar reduction. We also discuss a detailed implementation of our scheme with superconducting qubits and cavities.

Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE Laboratory Directed Research and Development (LDRD) Program; US Army Research Office (ARO); National Science Foundation (NSF); US Department of the Navy, Office of Naval Research (ONR); Sloan Foundation
Grant/Contract Number:
AC52-06NA25396; PHY-1607611
OSTI ID:
1463480
Report Number(s):
LA-UR-17-25159
Journal Information:
npj Quantum Information, Vol. 4, Issue 1; ISSN 2056-6387
Publisher:
Nature Partner JournalsCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 14 works
Citation information provided by
Web of Science

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Cited By (8)

Simulating quantum many-body dynamics on a current digital quantum computer journal November 2019
Low-depth circuit ansatz for preparing correlated fermionic states on a quantum computer journal September 2019
Quantum chemistry on quantum computers: quantum simulations of the time evolution of wave functions under the S 2 operator and determination of the spin quantum number S journal January 2019
Quantum Chemistry on Quantum Computers: A Method for Preparation of Multiconfigurational Wave Functions on Quantum Computers without Performing Post-Hartree–Fock Calculations journal December 2018
Quantum codes for quantum simulation of Fermions on a square lattice of qubits text January 2018
Application of fermionic marginal constraints to hybrid quantum algorithms journal May 2018
Bravyi-Kitaev Superfast simulation of electronic structure on a quantum computer journal April 2018
Cavity-assisted mesoscopic transport of fermions: Coherent and dissipative dynamics journal May 2018