Quantum Simulator: How to Test the Bridge Between Model and Reality ✛ ✎

Original: "What is a quantum simulator?"
· T. H. Johnson, S. R. Clark, D. Jaksch
arXiv:1405.2831 · 2014-05-12 · arXiv non-exclusive · independent analysis · 1 min
A quantum simulator is a device that tests a model of a physical system using quantum effects.

To understand a complex quantum system, scientists build another quantum system that behaves in the same way. It is like building a small bridge across a river to understand how a large bridge will behave. But how do you know the small bridge won't deceive you? The answer: simulation is not just a demonstration but a bridge between model and reality, and it needs to be stress-tested.

Simulation is the first step: first, the device reproduces the model, then the model is compared with the real system. Computation is a guaranteed exact calculation that does not require reference to reality.

Trust in a simulator is not an objective property but the result of a verification process: tests, comparisons, and gradual accumulation of confidence. Just as a bridge is trusted after thousands of trucks have driven over it, a simulator is trusted after its predictions have matched reality in thousands of cases. In the future, when simulators begin to surpass classical computers, verifying their reliability will become the main task.

The term 'quantum simulator' is often attributed to Richard Feynman, who in 1982 suggested that quantum systems are best modeled by quantum devices. However, the very idea of using one physical system to study another dates back to ancient mechanical models of celestial bodies.

\hat{\rho}(t) = \sum_{s,i} p(\{N_{s,i}\}, t) |\{N_{s,i}\}, t\rangle\langle\{N_{s,i}\}, t|
The device is classical if its state can be described by occupation probabilities of single-particle modes without coherences between them.
Scientists
Erwin SchrödingerHugh Everett IIIDavid DeutschJohn Stewart BellLouis de BroglieLov Grover
Concepts
quantum simulator quantum simulation computer simulation product operator qubit medicine data center memory decoder memory cell feynman control signal feedback classical computer agent complexity computational cost tomography classical limit Water