A differentiable quantum phase estimation algorithm
Davide Castaldo, Soran Jahangiri, Agostino Migliore, Juan Miguel, Arrazola, Stefano Corni

TL;DR
This paper introduces a fully differentiable quantum phase estimation algorithm that accurately estimates electronic properties, enabling advanced quantum simulations for chemical systems with improved precision and flexibility.
Contribution
It develops a smooth estimator integrated with quantum phase estimation, allowing differentiation and optimization for electronic structure calculations.
Findings
Estimator retains accuracy for arbitrary initial states
Outperforms standard majority rule in estimation precision
Successfully applied to geometry optimization with up to 19 qubits
Abstract
The simulation of electronic properties is a pivotal issue in modern electronic structure theory, driving significant efforts over the past decades to develop protocols for computing energy derivatives. In this work, we address this problem by developing a strategy to integrate the quantum phase estimation algorithm within a fully differentiable framework. This is accomplished by devising a smooth estimator able to tackle arbitrary initial states. We provide analytical expressions to characterize the statistics and algorithmic cost of this estimator. Furthermore, we provide numerical evidence that the estimation accuracy is retained when an arbitrary state is considered and that it exceeds the one of standard majority rule. We explicitly use this procedure to estimate chemically relevant quantities, demonstrating our approach through ground-state and triplet excited state geometry…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography
