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The MIT Press eBooks

Spin and Qubits

Published Mar 19, 2019• 0 citations
Publisher

Abstract

The first chapter described measurements involving the spin of an electron. We saw that if you measure the spin in the vertical direction, you don't obtain a continuum of values, but just two of them: Either the electron has its north pole vertically upward, or it is vertically downward. If we measure the spin first in the vertical direction and then once more in the same direction, we obtain exactly the same result for both measurements. If the first measurement shows that the electron has its north pole upward, then so will the second measurement. We also saw that if we measure first in the vertical direction and then in the horizontal direction, the electrons will have spin N and S in direction 90° each with probability of one half. It doesn't matter what the first measurement is; the second measurement will give a random choice of either N or S. The second chapter introduced the mathematics of linear algebra. The goal of this chapter is to combine these previous two chapters, giving a mathematical model that describes the measurement of spin. We will then show how this relates to qubits. But before we start this description, we introduce the mathematics of probability.

DOI
10.7551/mitpress/11860.003.0005

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The first chapter described measurements involving the spin of an electron. We saw that if you measure the spin in the vertical direction, you don't obtain a continuum of values, but just two of them: Either the electron has its north pole vertically upward, or it is vertically downward. If we measure the spin first in the vertical direction and then once more in the same direction, we obtain exactly the same result for both measurements. If the first measurement shows that the electron has its north pole upward, then so will the second measurement. We also saw that if we measure first in the vertical direction and then in the horizontal direction, the electrons will have spin N and S in direction 90° each with probability of one half. It doesn't matter what the first measurement is; the second measurement will give a random choice of either N or S. The second chapter introduced the mathematics of linear algebra. The goal of this chapter is to combine these previous two chapters, giving a mathematical model that describes the measurement of spin. We will then show how this relates to qubits. But before we start this description, we introduce the mathematics of probability.
Quantum mechanics is one of the pillars of modern physics, however rather difficult to teach at the introductory level due to the conceptual difficulties and the required advanced mathematics. Nevertheless, attempts to identify relevant features of quantum mechanics and to put forward concepts of how to teach it have been proposed.1–8 Here we present an approach to quantum physics based on the simplest quantum mechanical system—the quantum bit (qubit).1 Like its classical counterpart—the bit—a qubit corresponds to a two-level system, i.e., some system with a physical property that can admit two possible values. While typically a physical system has more than just one property or the property can admit more than just two values, in many situations most degrees of freedom can be considered to be fixed or frozen. Hence a variety of systems can be effectively described as a qubit. For instance, one may consider the spin of an electron or atom, with spin up and spin down as two possible values, and where other properties of the particle such as its mass or its position are fixed. Further examples include the polarization degree of freedom of a photon (horizontal and vertical polarization), two electronic degrees of freedom (i.e., two energy levels) of an atom, or the position of an atom in a double well potential (atom in left or right well). In all cases, only two states are relevant to describe the system.
Quantum mechanics is based on linear algebra. The general theory uses infinite dimensional vector spaces. Fortunately for us, to describe spin or polarization we need only finite dimensions, which makes things much easier. In fact, we need only a few tools. At the end of this chapter I have given a list. The rest of the chapter explains how to use these tools and what the calculations mean. There are many examples. It is important to work carefully through all of them. The mathematics introduced here is essential to everything that follows. Like much mathematics, it can seem complicated when it is first introduced, but it becomes almost second nature with practice. The actual computations only involve addition and multiplication of numbers, along with an occasional square root and trigonometric function.
The simplest quantum system is the physical quantum bit or qubit . The qubit is a two-level quantum system—example qubit systems are the spin of an electron, the polarization of a photon, or a two-level atom with a ground state and an excited state. We do not worry too much about physical implementations in this chapter, but instead focus on the mathematical postulates of the quantum theory and operations that we can perform on qubits. From qubits we progress to a study of physical qudits . Qudits are quantum systems that have d levels and are an important generalization of qubits. Again, we do not discuss physical realizations of qudits. Noise can affect quantum systems, and we must understand methods of modeling noise in the quantum theory because our ultimate aim is to construct schemes for protecting quantum systems against the detrimental effects of noise. In Chapter 1, we remarked on the different types of noise that occur in nature. The first, and perhaps more easily comprehensible type of noise, is that which is due to our lack of information about a given scenario. We observe this type of noise in a casino, with every shuffle of cards or toss of dice. These events are random, and the random variables of probability theory model them because the outcomes are unpredictable. This noise is the same as that in all classical information-processing systems. On the other hand, the quantum theory features a fundamentally different type of noise. Quantum noise is inherent in nature and is not due to our lack of information, but is due rather to nature itself. An example of this type of noise is the “Heisenberg noise” that results from the uncertainty principle. If we know the momentum of a given particle from performing a precise measurement of it, then we know absolutely nothing about its position—a measurement of its position gives a random result. Similarly, if we know the rectilinear polarization of a photon by precisely measuring it, then a future measurement of its diagonal polarization will give a random result. It is important to keep the distinction clear between these two types of noise.
We now have all the basic tools we need to describe systems of one and two qubits. In this final chapter of Part I we look at some of the consequences of the peculiar properties of qubits when they are used to encode information. Many of these results can be traced to the properties of quantum measurement. Measuring a single qubit A key result in quantum information theory is that it is impossible to accurately characterize a single qubit. In other words, there is no experiment, or sequence of experiments, which allows us to find out the state of a single quantum bit. The reason for this problem is twofold. Firstly, we have to make some sort of decision about the basis we will use for the measurement. For example, when measuring a single qubit the most popular choice is to make a measurement in the computational basis. This is equivalent to asking the qubit whether it is in state |0⧽ or state |1⧽. If the qubit is indeed in one of the basis states the measurement process is simple, and we will get the obvious answer of 0 if it is in |0⧽ and 1 if it is in |1⧽. If, however, the qubit is in a superposition, such as α|0⧽+β|1⧽, then the situation is more difficult. Characterizing the state now means determining the values of the two complex numbers α and β, but the measurement can only return the answer 0 or 1, and for a superposition state one of these two answers will be returned at random, with probabilities |α| 2 and |β| 2 , respectively.
Abstract This chapter provides a brief introduction to the terminology and basic concepts of quantum spin systems, which are widely used in QIS and QC. The quantum spin of an elementary particle is an example of a qubit and can be visually represented as a spinning top. The vector direction of spin in state space, however, is different from the direction in physical space. Quantum spin-1/2 systems have two orthogonal states: spin-up and spin-down. The distinction between state space angles and physical space angles is emphasized. Because spin is a qubit, the quantum gates from Chapter 6 can be applied to spin-1/2 quantum states with predictable results.