Special Session: Impact of Noise on Quantum Algorithms in Noisy Intermediate-Scale Quantum Systems
Daniel Volya, Prabhat Mishra
Abstract
A major challenge in realizing efficient and powerful quantum algorithms is quantum noise. Quantum noise itself is a sophisticated topic that is not seen in the classical domain. In this paper, we explore the impact of noise on quantum algorithms in Noisy Intermediate-Scale Quantum (NISQ) systems. This paper first introduces the origins of quantum noise. Next, it proposes a common treatment to simplify the view of quantum noise. Finally, it presents a case study to investigate the impact of noise on quantum Fourier transform algorithm.
Topics & Concepts
Quantum algorithmComputer scienceNoise (video)AlgorithmQuantum error correctionQuantum phase estimation algorithmQuantum noiseQuantum Fourier transformQuantum computerQuantum networkQuantumTheoretical computer scienceArtificial intelligencePhysicsQuantum mechanicsImage (mathematics)Quantum Computing Algorithms and ArchitectureQuantum Information and CryptographyQuantum and electron transport phenomena