Noisy intermediate-scale quantum (NISQ) devices are nowadays starting to become available the final user, hence potentially allowing speedups predicted by quantum-information theory be shown. However, before implementing any algorithm, it is crucial have at least a partial or possibly full knowledge on type and amount of noise affecting machine. Here, generalizing generative adversarial learnin...

The modulation response, relative intensity noise (RIN) and frequency noise (FN) characteristics of quantum dot (QD) lasers are investigated theoretically in the presence of an external optical beam. Using small signal analysis of the rate equations for carriers and photons, it is demonstrated that by injecting excess carriers into the QDs excited state through optical pumping, the modulation r...

We propose a model for noisy quantum evolutions where the noise is forced to accumulate, and consider related noise models, called “detrimental noise,” that will cause quantum error correction and fault-tolerant quantum computation to fail. We start with properties of detrimental noise for two qubits and proceed to a discussion of highly entangled states, the rate of noise, and general noisy qu...

Reduction of the intensity noise in semiconductor lasers is important subject to extend application range of the device. Blue-violet InGaN laser reveals high quantum noise when the laser is operated with low output power. The authors proposed a new scheme of noise reduction both for the optical feedback noise and the quantum noise by applying electric feedback which is positive type at a high f...

Noise in quantum information processing is often viewed as a disruptive and difficult-to-avoid feature, especially near-term technologies. However, noise has played beneficial roles, from enhancing weak signals stochastic resonance to protecting the privacy of data differential privacy. It then natural ask, can we harness power that computing? An important current direction for computing its ap...

Quantum autoencoder is an efficient variational quantum algorithm for data compression. However, previous autoencoders fail to compress and recover high-rank mixed states. In this work, we discuss the fundamental properties limitations of standard model in more depth, provide information-theoretic solution its recovering fidelity. Based on understanding, present a noise-assisted go beyond limit...