Litcius/Paper detail

Iterative quantum amplitude estimation

Dmitry Grinko, Julien Gacon, Christa Zoufal, Stefan Woerner

2021npj Quantum Information193 citationsDOIOpen Access PDF

Abstract

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

QubitAlgorithmSpeedupQuadratic equationAmplitudeMonte Carlo methodQuantum phase estimation algorithmComputer scienceMathematicsQuantum algorithmPhase (matter)Quantum computerConstant (computer programming)QuantumApplied mathematicsEstimation theoryEstimationIterative methodMathematical optimizationScheme (mathematics)Quadratic unconstrained binary optimizationMonte Carlo integrationQuantum Monte CarloStatistical physicsFactor (programming language)Quantum Information and CryptographyQuantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications