Corpus ID: 53691827

Quantum compilation and circuit optimisation via energy dissipation

@article{Jones2018QuantumCA,
  title={Quantum compilation and circuit optimisation via energy dissipation},
  author={Tyson Jones and S. Benjamin},
  journal={arXiv: Quantum Physics},
  year={2018}
}
  • Tyson Jones, S. Benjamin
  • Published 2018
  • Mathematics, Physics
  • arXiv: Quantum Physics
  • We describe a method for automatically recompiling a quantum circuit A into a target circuit B, with the goal that both circuits have the same action on a specific input i.e. A|in> = B|in>. This is of particular relevance to hybrid, NISQ-era algorithms for dynamical simulation or eigensolving. The user initially specifies B as a blank template: a layout of parameterised unitary gates configured to the identity. The compilation then proceeds using quantum hardware to perform an isomorphic energy… CONTINUE READING
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    References

    SHOWING 1-10 OF 44 REFERENCES
    Random Compiler for Fast Hamiltonian Simulation.
    • 48
    • PDF
    Automated optimization of large quantum circuits with continuous parameters
    • 71
    • PDF
    Quantum assisted quantum compiling
    • 78
    • PDF
    An Efficient Quantum Compiler that reduces $T$ count.
    • 45
    • PDF
    Improved Classical Simulation of Quantum Circuits Dominated by Clifford Gates.
    • 93
    • PDF
    An algorithm for the T-count
    • 62
    • PDF