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Quantum Measurement for Quantum Chemistry on a Quantum Computer

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arxiv 2501.14968 v2 pith:Z5XCUOZI submitted 2025-01-24 quant-ph

classification quant-ph
keywords quantummeasurementchemistrypropertiesreviewstrategiesaccuracyapproaches
verification ladder T0 review T1 audit T2 compute T3 formal
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Quantum chemistry is among the most promising applications of quantum computing, offering the potential to solve complex electronic structure problems more efficiently than classical approaches. A critical component of any quantum algorithm is the measurement step, where the desired properties are extracted from a quantum computer. This review focuses on recent advancements in quantum measurement techniques tailored for quantum chemistry, particularly within the second quantized framework suitable for current and near-term quantum hardware. We provide a comprehensive overview of measurement strategies developed primarily for the Variational Quantum Eigensolver (VQE) and its derivatives. These strategies address the inherent challenges posed by complexity of the electronic Hamiltonian operator. Additionally, we examine methods for estimating excited states and one- and two-electron properties, extending the applicability of quantum algorithms to broader chemical phenomena. Key aspects of the review include approaches for constructing measurement operators with reduced classical preprocessing and quantum implementation costs, techniques to minimize the number of measurements required for a given accuracy, and error mitigation strategies that leverage symmetries and other properties of the measurement operators. Furthermore, we explore measurement schemes rooted in Quantum Phase Estimation (QPE), which are expected to become viable with the advent of fault-tolerant quantum computing. This review emphasizes foundational concepts and methodologies rather than numerical benchmarks, serving as a resource for researchers aiming to enhance the efficiency and accuracy of quantum measurements in quantum chemistry.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Universal Fluctuations in the Tail Probability for d=2 Random Walks in Space-Time Random Environments

    cond-mat.stat-mech 2025-08 reject novelty 4.0 of 10

    The reported d=2 random-walk universality result is unsupported: the full text is a quantum federated learning survey that never mentions random walks, tail probabilities, or lambda_ext.

  2. Shot-Efficient ADAPT-VQE via Reused Pauli Measurements and Variance-Based Shot Allocation

    quant-ph 2025-07 conditional novelty 4.0 of 10

    A shot-efficient ADAPT-VQE variant that reuses grouped Pauli measurements from VQE optimization for gradient estimation and adds variance-based shot allocation reaches chemical accuracy with fewer measurements in smal...

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