Continuous-Time Quantum Algorithms for Unstructured Problems
arXiv:1302.7256 · doi:10.1088/1751-8113/47/4/045305
Abstract
We consider a family of unstructured problems, for which we propose a method for constructing analog, continuous-time quantum algorithms that are more efficient than their classical counterparts. In this family of problems, which we refer to as `scrambled output' problems, one has to find a minimum-cost configuration of a given integer-valued n-bit function whose output values have been scrambled in some arbitrary way. Special cases within this set of problems are Grover's search problem of finding a marked item in an unstructured database, certain random energy models, and the functions of the Deutsch-Josza problem. We consider a couple of examples in detail. In the first, we provide a deterministic analog quantum algorithm to solve the seminal problem of Deutsch and Josza, in which one has to determine whether an n-bit boolean function is constant (gives 0 on all inputs or 1 on all inputs) or balanced (returns 0 on half the input states and 1 on the other half). We also study one variant of the random energy model, and show that, as one might expect, its minimum energy configuration can be found quadratically faster with a quantum adiabatic algorithm than with classical algorithms.
8 pages, 4 figures
References in corpus (8)
- Bounds for the adiabatic approximation with applications to quantum computation
- Simple proof of equivalence between adiabatic quantum computation and the circuit model
- Quantum Speedup by Quantum Annealing
- Size dependence of the minimum excitation gap in the Quantum Adiabatic Algorithm
- Exponential Complexity of the Quantum Adiabatic Algorithm for certain Satisfiability Problems
- Algorithmic approach to adiabatic quantum optimization
- On the relevance of avoided crossings away from quantum critical point to the complexity of quantum adiabatic algorithm
- Excitation Gap from Optimized Correlation Functions in Quantum Monte Carlo Simulations
Cited by in corpus (12)
- Adiabatic Quantum Computing
- Tunneling and speedup in quantum optimization for permutation-symmetric problems
- Finding spin-glass ground states using quantum walks
- Quantum Gates with Controlled Adiabatic Evolutions
- Analog Nature of Quantum Adiabatic Unstructured Search
- Period Finding with Adiabatic Quantum Computation
- Quantum Annealing - Foundations and Frontiers
- Adiabatic quantum optimization in presence of discrete noise: Reducing the problem dimensionality
- How Fast Can Quantum Annealers Count?
- How Quantum is the Speedup in Adiabatic Unstructured Search?
- Superposition of Macroscopically Distinct States in Adiabatic Quantum Computation
- Unstructured Adiabatic Quantum Optimization: Optimality with Limitations