Time complexity and gate complexity
Tatsuhiko Koike, Yosuke Okudaira

TL;DR
This paper develops a physically natural time-optimal quantum computation theory (t-QCT), relates it to gate complexity, and demonstrates its application to specific quantum operations, revealing polynomial or exponential time complexities.
Contribution
It formulates a new t-QCT framework based on physical time and explores its relation to gate complexity, providing numerical methods and concrete examples.
Findings
Time complexity for quantum Fourier transform is linear in qubits.
Time complexity for a generic unitary is exponential.
Optimal Hamiltonians often exhibit time-reversal symmetry.
Abstract
We formulate and investigate the simplest version of time-optimal quantum computation theory (t-QCT), where the computation time is defined by the physical one and the Hamiltonian contains only one- and two-qubit interactions. This version of t-QCT is also considered as optimality by sub-Riemannian geodesic length. The work has two aims: one is to develop a t-QCT itself based on physically natural concept of time, and the other is to pursue the possibility of using t-QCT as a tool to estimate the complexity in conventional gate-optimal quantum computation theory (g-QCT). In particular, we investigate to what extent is true the statement: time complexity is polynomial in the number of qubits if and only if so is gate complexity. In the analysis, we relate t-QCT and optimal control theory (OCT) through fidelity-optimal computation theory (f-QCT); f-QCT is equivalent to t-QCT in the limit…
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