Extremal jumps of circuit complexity of unitary evolutions generated by random Hamiltonians
arXiv:2303.17538 · doi:10.1007/JHEP01(2025)116
Abstract
We investigate circuit complexity of unitaries generated by time evolution of randomly chosen strongly interacting Hamiltonians in finite dimensional Hilbert spaces. Specifically, we focus on two ensembles of random generators -- the so called Gaussian Unitary Ensemble (GUE) and the ensemble of diagonal Gaussian matrices conjugated by Haar random unitary transformations. In both scenarios we prove that the complexity of exhibits a surprising behaviour -- with high probability it reaches the maximal allowed value on the same time scale as needed to escape the neighborhood of the identity consisting of unitaries with trivial (zero) complexity. We furthermore observe similar behaviour for quantum states originating from time evolutions generated by above ensembles and for diagonal unitaries generated from the ensemble of diagonal Gaussian Hamiltonians. To establish these results we rely heavily on structural properties of the above ensembles (such as unitary invariance) and concentration of measure techniques. This gives us a much finer control over the time evolution of complexity compared to techniques previously employed in this context: high-degree moments and frame potentials.
38 pages, 2 figures, v2: minor update to references, v3: minor corrections and clarifications throughout the paper, comments and suggestions are welcome
References in corpus (29)
- From Quantum Chaos and Eigenstate Thermalization to Statistical Mechanics and Thermodynamics
- Hamiltonian Simulation by Qubitization
- Complexity and Shock Wave Geometries
- Quantum Computation as Geometry
- Exact relaxation in a class of non-equilibrium quantum lattice systems
- Chaos and complexity by design
- Hamiltonian simulation with nearly optimal dependence on all parameters
- The Second Law of Quantum Complexity
- Central limit theorem for linear eigenvalue statistics of random matrices with independent entries
- Chaos, Complexity, and Random Matrices
- Complexity and entanglement for thermofield double states
- Circuit complexity for free fermions
- Linear growth of quantum circuit complexity
- Efficient Discrete Approximations of Quantum Gates
- Models of quantum complexity growth
- Spectral form factors and late time quantum chaos
- Quantum Complexity of Time Evolution with Chaotic Hamiltonians
- Fast-forwarding of Hamiltonians and Exponentially Precise Measurements
- Convergence to equilibrium under a random Hamiltonian
- The complexity of energy eigenstates as a mechanism for equilibration
- Trading inverses for an irrep in the Solovay-Kitaev theorem
- Entangling power and quantum circuit complexity
- Subsystem dynamics under random Hamiltonian evolution
- Random Matrix Theory of the Isospectral twirling
- Generic appearance of objective results in quantum measurements
- Complexity = Anything Can Grow Forever in de Sitter
- Exploring Quantum Average-Case Distances: proofs, properties, and examples
- Hay from the haystack: explicit examples of exponential quantum circuit complexity
- Concentration of quantum equilibration and an estimate of the recurrence time