Counterfactual quantum computation
Counterfactual quantum computation is a method of inferring the result of a computation without actually running a quantum computer otherwise capable of actively performing that computation.
Conceptual origin
Physicists Graeme Mitchison and Richard Jozsa introduced the notion of counterfactual computing as an application of quantum computing, founded on the concepts of counterfactual definiteness, on a re-interpretation of the Elitzur–Vaidman bomb tester thought experiment, and making theoretical use of the phenomenon of interaction-free measurement.After seeing a talk on counterfactual computation by Jozsa at the Isaac Newton Institute, Keith Bowden of the Theoretical Physics Research Unit at Birkbeck College, University of London published a paper in 1997 describing a digital computer that could be counterfactually interrogated to calculate whether a light beam would fail to pass through a maze as an example of this idea.
More recently the idea of counterfactual quantum communication has been proposed and demonstrated.
Outline of the method
The quantum computer may be physically implemented in arbitrary ways but, to date, the common apparatus considered features a Mach–Zehnder interferometer. The quantum computer is set in a superposition of "not running" and "running" states by means such as the quantum Zeno effect. Those state histories are quantum interfered. After many repetitions of very rapid projective measurements, the "not running" state evolves to a final value imprinted into the properties of the quantum computer. Measuring that value allows for learning the result of some types of computations such as Grover's algorithm even though the result was derived from the non-running state of the quantum computer.Definition
The original formulation of counterfactual quantum computation stated that a set m of measurement outcomes is a counterfactual outcome if there is only one history associated to m and that history contains only "off" states, and there is only a single possible computational output associated to m.A refined definition of counterfactual computation expressed in procedures and conditions is: Identify and label all histories, with as many labels as needed, which lead to the same set m of measurement outcomes, and coherently superpose all possible histories. After cancelling the terms whose complex amplitudes together add to zero, the set m of measurement outcomes is a counterfactual outcome if there are no terms left with the computer-running label in their history labels, and there is only a single possible computer output associated to m.