A note on the switching adiabatic theorem
arXiv:1204.2318 · doi:10.1063/1.4748968
Abstract
We derive a nearly optimal upper bound on the running time in the adiabatic theorem for a switching family of Hamiltonians. We assume the switching Hamiltonian is in the Gevrey class as a function of time, and we show that the error in adiabatic approximation remains small for running times of order . Here denotes the minimal spectral gap between the eigenvalue(s) of interest and the rest of the spectrum of the instantaneous Hamiltonian.
20 pages, no figures, to appear in JMP
References in corpus (3)
Cited by in corpus (28)
- Adiabatic Quantum Computing
- The Quantum Adiabatic Algorithm applied to random optimization problems: the quantum spin glass perspective
- Optimal polynomial based quantum eigenstate filtering with application to solving quantum linear systems
- Compilation of Fault-Tolerant Quantum Heuristics for Combinatorial Optimization
- BQP-completeness of Scattering in Scalar Quantum Field Theory
- Exponential Enhancement of the Efficiency of Quantum Annealing by Non-Stochastic Hamiltonians
- Role of Non-stoquastic Catalysts in Quantum Adiabatic Optimization
- Adiabatic Spectroscopy and a Variational Quantum Adiabatic Algorithm
- Hunting for quantum-classical crossover in condensed matter problems
- Performance Evaluation of Adiabatic Quantum Computation via Quantum Speed Limits and Possible Applications to Many-Body Systems
- Adiabatic optimization versus diffusion Monte Carlo
- Quantum and Classical in Adiabatic Computation
- Randomized gap and amplitude estimation
- Diffusion Monte Carlo approach versus adiabatic computation for local Hamiltonians
- Real-Time Scattering Processes with Continuous-Variable Quantum Computers
- Realizable Quantum Adiabatic Search
- Accelerating quantum imaginary-time evolution with random measurements
- Effective gaps are not effective: quasipolynomial classical simulation of obstructed stoquastic Hamiltonians
- Inclusive probability of particle creation on classical backgrounds
- Practicality of quantum adiabatic algorithm for chemistry applications
- Polynomial Time Algorithms for Estimating Spectra of Adiabatic Hamiltonians
- Load Balancing For High Performance Computing Using Quantum Annealing
- Unstructured Adiabatic Quantum Optimization: Optimality with Limitations
- Adiabatic quantum computing with parameterized quantum circuits
- Adiabatic theorem for classical stochastic processes
- Solving Helmholtz problems with finite elements on a quantum annealer
- Programming tools for Analogue Quantum Computing in the High-Performance Computing Context -- A Review
- Quantum Computation