Feynman's algorithm is an algorithm that is used to simulate the operations of a quantum computer on a classical computer. It is based on the Path integral formulation of quantum mechanics, which was formulated by Richard Feynman.1
Overview
An
qubit quantum computer takes in a quantum circuit
that contains
gates and an input state
. It then outputs a string of bits
with probability
.
In Schrödinger's algorithm,
is calculated straightforwardly via matrix multiplication. That is,
. The quantum state of the system can be tracked throughout its evolution.2
In Feynman's path algorithm,
is calculated by summing up the contributions of
histories. That is,
. 3
Schrödinger's takes less time to run compared to Feynman's while Feynman's takes more time and less space.
More precisely, Schrödinger's takes
time and
space while Feynman's takes
time and
space.4
Example
Consider the problem of creating a Bell state. What is the probability that the resulting measurement will be
?
Since the quantum circuit that generates a Bell state is the H (Hadamard gate) gate followed by the CNOT gate, the unitary for this circuit is
. In that case,
using Schrödinger's algorithm. So probability resulting measurement will be
is
.
Using Feynman's algorithm, the Bell state circuit contains
histories:
. So
= |
+
+
+
.
See also
See also
References
References
-
Ethan Bernstein and Umesh Vazirani (1997). "Quantum Complexity Theory". SIAM Journal on Computing. 26 (5): 1411–1473. doi:10.1137/S0097539796300921.
- Raedt, K. De; Michielsen, K.; Raedt, H. De; Trieu, B.; Lippert, Th.; Watanabe, H.; Ito, N. (2006). "Massively parallel quantum computer simulator". Comput. Phys. Commun. 176 (2): 121–136. arXiv:quant-ph/0608239. doi:10.1016/j.cpc.2006.08.007. S2CID 17463164.
- Rudiak-Gould, Ben (2006). "The sum-over-histories formulation of quantum computing". arXiv:quant-ph/0607151.
-
Aaronson, Scott; Chen, Lijie (2017). Complexity-Theoretic Foundations of Quantum Supremacy Experiments. Vol. 79. Schloss Dagstuhl – Leibniz-Zentrum für Informatik. pp. 1–67. arXiv:1612.05903. doi:10.4230/LIPIcs.CCC.2017.22. ISBN 9783959770408. S2CID 12591414.