Litcius/Paper detail

Iterative quantum amplitude estimation

Dmitry Grinko, Julien Gacon, Christa Zoufal, Stefan Woerner

2021Repository for Publications and Research Data (ETH Zurich)169 citationsDOIOpen Access PDF

Abstract

We introduce a variant of Quantum Amplitude Estimation (QAE), called Iterative QAE (IQAE), which does not rely on Quantum Phase Estimation (QPE) but is only based on Grover’s Algorithm, which reduces the required number of qubits and gates. We provide a rigorous analysis of IQAE and prove that it achieves a quadratic speedup up to a double-logarithmic factor compared to classical Monte Carlo simulation with provably small constant overhead. Furthermore, we show with an empirical study that our algorithm outperforms other known QAE variants without QPE, some even by orders of magnitude, i.e., our algorithm requires significantly fewer samples to achieve the same estimation accuracy and confidence level.

Topics & Concepts

QubitAlgorithmSpeedupComputer scienceLogarithmQuadratic equationQuantum algorithmMonte Carlo methodQuantumQuantum computerAmplitudeQuantum phase estimation algorithmStatisticsMathematicsQuantum error correctionParallel computingQuantum mechanicsPhysicsGeometryMathematical analysisQuantum Computing Algorithms and ArchitectureQuantum Information and CryptographyBlind Source Separation Techniques