Perspectives on Utilization of Measurements in Quantum Algorithms
- URL: http://arxiv.org/abs/2507.04325v1
- Date: Sun, 06 Jul 2025 10:15:41 GMT
- Title: Perspectives on Utilization of Measurements in Quantum Algorithms
- Authors: Valter Uotila, Ilmo Salmenperä, Leo Becker, Arianne Meijer - van de Griend, Aakash Ravindra Shinde, Jukka K. Nurminen,
- Abstract summary: This article provides an overview of the basic measurement operations in quantum computing.<n>Measurements are either a method to access the result of a quantum computation or a technique to modify a quantum state.<n>We discuss three main categories of measurements: performing measurements in static quantum circuits, modifying the quantum state in dynamic quantum circuits via measurements, and addressing challenges in quantum computing with measurements.
- Score: 1.4174546574625608
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Measurement is a fundamental operation in quantum computing and has many important use cases in quantum algorithms. This article provides a comprehensive overview of the basic measurement operations in quantum computing and represents a selected set of their applications in quantum algorithms. Our goal is to provide one of the first algorithmic overviews of measurement processes in quantum computing. From the quantum information-theoretical perspective, measurements are either a method to access the result of a quantum computation or a technique to modify a quantum state. We also identify measurement-based methods to solve quantum computational challenges, such as error mitigation and circuit cutting. We discuss three main categories of measurements: performing measurements in static quantum circuits, modifying the quantum state in dynamic quantum circuits via measurements, and addressing challenges in quantum computing with measurements. Based on the reviewed topics, the measurement operations are frequently not at the center of the quantum algorithm design. However, the most novel and error-prone quantum algorithms will likely require sophisticated measurement schemes. Thus, the central message of this article is to broaden the view of measurement operations and highlight their importance at every level of quantum algorithm design.
Related papers
- Constant-Depth Quantum Circuits for Arbitrary Quantum State Preparation via Measurement and Feedback [5.9862846364925115]
We develop a framework to achieve constant-depth implementations of essential quantum tasks.<n>This includes preparing arbitrary quantum states with constant-depth circuits through measurement and feedback.<n>Our result paves the way for general quantum circuit compression using measurement and feedback.
arXiv Detail & Related papers (2025-03-20T14:55:04Z) - Quantum Measurement for Quantum Chemistry on a Quantum Computer [0.0]
A critical component of any quantum algorithm is the measurement step, where the desired properties are extracted from a quantum computer.<n>This review focuses on recent advancements in quantum measurement techniques tailored for quantum chemistry.
arXiv Detail & Related papers (2025-01-24T23:06:32Z) - Scalable Quantum Algorithms for Noisy Quantum Computers [0.0]
This thesis develops two main techniques to reduce the quantum computational resource requirements.
The aim is to scale up application sizes on current quantum processors.
While the main focus of application for our algorithms is the simulation of quantum systems, the developed subroutines can further be utilized in the fields of optimization or machine learning.
arXiv Detail & Related papers (2024-03-01T19:36:35Z) - Power Characterization of Noisy Quantum Kernels [52.47151453259434]
We show that noise may make quantum kernel methods to only have poor prediction capability, even when the generalization error is small.
We provide a crucial warning to employ noisy quantum kernel methods for quantum computation.
arXiv Detail & Related papers (2024-01-31T01:02:16Z) - Quantum Algorithms for the computation of quantum thermal averages at
work [0.0]
We consider the practical implementation of the so-called Quantum-Quantum Metropolis algorithm.
We simulate a basic system of three frustrated quantum spins and discuss its systematics.
arXiv Detail & Related papers (2023-08-02T17:05:10Z) - Quantum Machine Learning: from physics to software engineering [58.720142291102135]
We show how classical machine learning approach can help improve the facilities of quantum computers.
We discuss how quantum algorithms and quantum computers may be useful for solving classical machine learning tasks.
arXiv Detail & Related papers (2023-01-04T23:37:45Z) - Scalable Simulation of Quantum Measurement Process with Quantum
Computers [13.14263204660076]
We propose qubit models to emulate the quantum measurement process.
One model is motivated by single-photon detection and the other by spin measurement.
We generate Schr"odinger cat-like state, and their corresponding quantum circuits are shown explicitly.
arXiv Detail & Related papers (2022-06-28T14:21:43Z) - Circuit Symmetry Verification Mitigates Quantum-Domain Impairments [69.33243249411113]
We propose circuit-oriented symmetry verification that are capable of verifying the commutativity of quantum circuits without the knowledge of the quantum state.
In particular, we propose the Fourier-temporal stabilizer (STS) technique, which generalizes the conventional quantum-domain formalism to circuit-oriented stabilizers.
arXiv Detail & Related papers (2021-12-27T21:15:35Z) - Efficient criteria of quantumness for a large system of qubits [58.720142291102135]
We discuss the dimensionless combinations of basic parameters of large, partially quantum coherent systems.
Based on analytical and numerical calculations, we suggest one such number for a system of qubits undergoing adiabatic evolution.
arXiv Detail & Related papers (2021-08-30T23:50:05Z) - Quantum walk processes in quantum devices [55.41644538483948]
We study how to represent quantum walk on a graph as a quantum circuit.
Our approach paves way for the efficient implementation of quantum walks algorithms on quantum computers.
arXiv Detail & Related papers (2020-12-28T18:04:16Z) - An Application of Quantum Annealing Computing to Seismic Inversion [55.41644538483948]
We apply a quantum algorithm to a D-Wave quantum annealer to solve a small scale seismic inversions problem.
The accuracy achieved by the quantum computer is at least as good as that of the classical computer.
arXiv Detail & Related papers (2020-05-06T14:18:44Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.