The maximum fidelity achievable without quantum resources, above which quantum advantage is proven.The classical limit is the maximum performance a classical (non-quantum) system can achieve in a given task, serving as the benchmark that a quantum system must surpass to demonstrate a genuine quantum advantage. In quantum computing and quantum sensing, this limit defines the boundary between what is classically simulable and what requires quantum resources. When a quantum device outperforms the best classical algorithm or device, researchers can claim quantum supremacy or advantage.
The concept became central to quantum computing in the 2010s, with Google's 2019 claim of quantum supremacy using the Sycamore processor, which performed a task in 200 seconds that would take a classical supercomputer thousands of years. The classical limit is continuously updated as classical algorithms improve.
The classical limit is typically established by analyzing the best-known classical algorithms or physical limits, such as the shot-noise limit in sensing or the computational complexity of simulating quantum systems. For quantum computers, this involves comparing the time or resources needed for a classical supercomputer to simulate the quantum circuit's output versus the actual quantum device. Exceeding this limit means the quantum system is doing something that cannot be efficiently replicated classically.
It is used to validate quantum computers, quantum simulators, and quantum sensors, ensuring that investments in quantum technology yield real advantages over classical alternatives.
In 2023, a classical algorithm was developed that could simulate Google's quantum supremacy experiment in a few hours on a supercomputer, showing that the classical limit is a moving target.






















