4.7 Article

On the efficiency of quantum algorithms for Hamiltonian simulation

Journal

QUANTUM INFORMATION PROCESSING
Volume 11, Issue 2, Pages 541-561

Publisher

SPRINGER
DOI: 10.1007/s11128-011-0263-9

Keywords

Quantum simulation; Complexity; Hamiltonian evolution; Splitting methods; Order of convergence

Funding

  1. National Science Foundation
  2. Direct For Mathematical & Physical Scien
  3. Division Of Mathematical Sciences [0914345] Funding Source: National Science Foundation
  4. Division Of Mathematical Sciences
  5. Direct For Mathematical & Physical Scien [1215987] Funding Source: National Science Foundation

Ask authors/readers for more resources

We study algorithms simulating a system evolving with Hamiltonian H = Sigma(m)(j=1) H-j, where each of the H-j, j = 1, . . . , m, can be simulated efficiently. We are interested in the cost for approximating e(-iHt), t is an element of R, with error epsilon. We consider algorithms based on high order splitting formulas that play an important role in quantum Hamiltonian simulation. These formulas approximate e(-iHt) by a product of exponentials involving the H-j, j = 1, . . . , m. We obtain an upper bound for the number of required exponentials. Moreover, we derive the order of the optimal splitting method that minimizes our upper bound. We show significant speedups relative to previously known results.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available