Temporal information processing induced by quantum noise

Quantum computing has been moving from a theoretical phase to practical one, presenting daunting challenges in implementing physical qubits, which are subjected noises the surrounding environment. These quantum ubiquitous devices and generate adverse effects computational model, leading extensive research on their correction mitigation techniques. But do these always provide disadvantages? We show that some abstract noise models can induce useful information processing capabilities for temporal input data framework called reservoir computing. demonstrate this ability several typical benchmarks investigate capacity clarify framework's mechanism memory profile. verified our perspective by number of IBM processors obtained similar characteristic profiles with model analyses. As surprising result, increased devices' higher levels error rates. Our study opens up path diverting computer into more sophisticated processor.