Emergence of Quantum Chaos in Quantum Computer Core and How to Manage It
B. Georgeot, D. L. Shepelyansky
Abstract
We study the standard generic quantum computer model, which describes a realistic isolated quantum computer with fluctuations in individual qubit energies and residual short-range inter-qubit couplings. It is shown that in the limit where the fluctuations and couplings are small compared to one-qubit energy spacing the spectrum has a band structure and a renormalized Hamiltonian is obtained which describes the eigenstate properties inside one band. The studies are concentrated on the central band of the computer (``core'') with the highest density of states. We show that above a critical inter-qubit coupling strength, quantum chaos sets in, leading to quantum ergodicity of the computer eigenstates. In this regime the ideal qubit structure disappears, the eigenstates become complex and the operability of the computer is quickly destroyed. We confirm that the quantum chaos border decreases only linearly with the number of qubits n, although the spacing between multi-qubit states drops exponentially with n. The investigation of time-evolution in the quantum computer shows that in the quantum chaos regime, an ideal (noninteracting) state quickly disappears and exponentially many states become mixed after a short chaotic time scale for which the dependence on system parameters is determined. Below the quantum chaos border an ideal state can survive for long times and be used for computation. The results show that a broad parameter region does exist where the efficient operation of a quantum computer is possible.
Create a lesson
Related papers
Using topology to reveal all mutually unbiased bases in dimension six
Mateo Cárdenes Wuttig, Joseph Tindall
Arithmetic Depth, Minimal Gate Alphabets, and Exact Program-State Resources for Single-Qubit Dyadic Programs
Tony Newton, Dan-Adrian German
Probing gravity at megahertz frequencies with levitated rotors
Matteo Fadel, Andrea Vinante
Optimal Holding Times for Entanglement Swapping
Van Sy Mai, Richard J. La, Abdella Battou
Quantum Algorithms for Molecular Response Functions: Resolvent Kernels, Time-Domain Sampling, Query Lower Bounds with Matched Single-Point Calibers, and a Six-Route Comparison
Yunlong Liu, Yujin Tang, Miao Xu et al.
GFlowQEC: Generative Flow Networks that Learn to Sample Quantum LDPC Codes
Nuno Batista, Gabriel Falcao, Penousal Machado