
Techniques used to reduce the impact of errors in quantum computations or simulations.Error suppression refers to a set of strategies used to reduce the impact of errors in quantum computations or simulations. Unlike full error correction, which requires encoding information redundantly across many physical qubits, suppression aims to lower the error rate of individual operations or to prevent errors from spreading. It is a practical first line of defense in noisy intermediate-scale quantum (NISQ) devices, where full correction is often too resource-intensive.
The concept grew out of early work on quantum control and decoherence in the 1990s, with dynamical decoupling formalized by Lorenza Viola and Seth Lloyd in 1999. However, the term 'error suppression' as a distinct category gained prominence in the 2010s with the rise of NISQ hardware.
Common techniques include dynamical decoupling, which applies rapid sequences of pulses to cancel out environmental noise; optimal control, which shapes pulses to make operations less sensitive to imperfections; and error-avoiding encodings that use symmetry or decoherence-free subspaces. These methods do not detect or fix errors after they occur, but they reduce the probability of errors happening in the first place, making quantum algorithms more reliable.
Used in current quantum computers from IBM, Google, and others to improve the fidelity of gates and measurements, enabling longer and more complex quantum circuits.
Dynamical decoupling works by averaging out noise so effectively that it can turn a noisy quantum memory into a nearly perfect one, even without any error correction codes.
















