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arXiv:1803.07259

Quantum Annealing Mechanism as A Measurement Process

Kentaro Imafuku

Published Mar 20, 2018• 0 citations
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Abstract

An idea for an application of the quantum annealing mechanism to construct a projection measurement in a collective space is proposed. We use the annealing mechanism to drive the pointer degree of freedom associated with the measurement process. The parameters in its problem Hamiltonian is given not as classical variables but as quantum variables (states). By additionally introducing successive short interactions so that the back reaction to the quantum state (to be measured) can be controlled, we invent a quantum mechanically parametrized quantum annealing process. Applying to a particular problem of discrimination of two collective states , we find that the process by the quantum mechanically parametrized annealing arrives at projection measurement in the collective space when the parametrizing quantum variables themselves are orthogonal (or distinguishable).

DOI
10.48550/arxiv.1803.07259

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Quantum mechanics cannot be applied within a closed system. Inevitable measurement process in quantum mechanics is usually treated separately from the basic principles of the framework and requires outside observer of the system. In this paper, we propose that the quantum measurement process is actually a physical process associated with the ubiquitous mechanism of spontaneous symmetry breaking. Based on this proposal, we construct a quantum measurement model in which the mixed state evolves into a pure state as the dynamical pro-coherence process. Furthermore, the classically distinguishable pointer parameter emerges as the c-number order parameter in the formalism of closed time-path quantum field theory. We also discuss the precision of the measurement and the possible deduction of the Born probability postulate.
This paper explores the application of quantum annealing to solve combinatorial optimization problems. The core idea centers around mapping these problems onto a quantum annealing platform and utilizing the quantum effects to find optimal or near-optimal solutions. Specifically, we investigate the potential of improved parameter tuning and algorithmic modifications to enhance the effectiveness of quantum annealing for problems such as the Traveling Salesperson Problem (TSP) and the Knapsack Problem. While quantum annealing has shown promise, its practical performance remains limited, and this work aims to address this limitation through targeted algorithmic and parameter optimization. The central focus is on demonstrating a method for translating a classical combinatorial problem into a suitable form for quantum annealing, followed by a strategic approach to controlling the annealing process to guide the system toward a desired solution. The efficacy of this approach is evaluated conceptually, with a focus on outlining the necessary steps and considerations for successful implementation.
We propose a quantum algorithm for projecting a quantum system to eigenstates of any Hermitian operator, provided one can access the associated control-unitary evolution for the ancilla and the system, as well as the measurement of the controlling ancillary qubit. Such a Hadamard-test-like primitive is iterated so as to achieve the spectral projection, and the distribution of the projected eigenstates obeys the Born rule. This algorithm can be used as a subroutine in the quantum annealing procedure by measurement to drive the system to the ground state of a final Hamiltonian, and we simulate this for quantum many-body spin chains.
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Quantum measurement is inevitable to extract information from quantum systems. Exploring the power and limitation of quantum measurement has profound implications not only to foundational studies, but also to many practical applications. In most of these tasks, many identically prepared quantum systems are measured to acquire sufficient information. Although there is no entanglement or even no classical correlation among these identically systems, surprisingly, quantum collective measurements on them may extract more information than local measurements on individual systems, thereby leading to higher efficiency and precision in these tasks. Although the significance of collective measurements has been recognized for two decades, it is still very challenging to demonstrate their advantage in experiments. Here, we will introduce the first implementation of quantum collective measurement and it's applications on quantum orienting, reducing quantum backation of measurement, and so on.