C/CS/Phys 191 Spin operators, spin measurement, spin initialization 10/13/05 Fall 2005 Lecture 14. = state representing ang. mom. w/ z-comp.
|
|
- Roger Melvyn Jennings
- 7 years ago
- Views:
Transcription
1 C/CS/Phys 9 Spin operators, spin measurement, spin initialization //5 Fall 5 Lecture 4 Readings Liboff, Introductory Quantum Mechanics, Ch. Spin Operators Last time: + state representing ang. mom. w/ z-comp. up state representing ang. mom. w/ z-comp. down These are the eigenvectors and eigenvalues of the spin for a spin- and are simultaneous eigenvectors of S and S z. system, like an electron or proton: S S S z S z h s(s+ h ( + 4 h h s(s+ 4 h hm h,m + hm h,m Results of measurements: S 4 h,s z + h, h Since S z is a Hamiltonian operator, and form an orthonormal basis that spans the spin- space, which is isomorphic to C. So the most general spin state is ( Ψ α + β α. β Question: How do we represent the spin operators (S,S x,s y,s z in the -d basis of the S z eigenstates and? Answer: They are matrices. Since they act on a two-dimensional vectors space, they must be -d matrices. We must calculate their matrix elements: S ( s s s s ( sz s,s z z s z s z ( sx s,s x x s x s x, etc. (S y C/CS/Phys 9, Fall 5, Lecture 4
2 Calculate S matrix: We must sandwich S between all possible combinations of basis vectors. (This is the usual way to construct a matrix! s S 4 h 4 h s S 4 h s S 4 h s S 4 h 4 h So S 4 h ( Find the S z matrix: So S z h s z Sz h + h s z S z h s z Sz h + s z Sz h h ( Find S x matrix: This is more difficult What is S x S x? is not an eigenstate of S z, so it s not trivial. Use raising and lowering operators: S ± S x ± is y S x (S + + S,S y i (S + S S x (S + + S S+, since is the highest Sz state. But what is S? Since S is the lowering operator, we know that S. That is S A for some complex number A which we have yet to determine. Similarly, S + A+. Question: What is A? Answer: A + h s(s+ m(m+ S + s,m A+ s,m+ A h s(s+ m(m S s,m A s,m Proof: First note that A s,m S+ S s,m. C/CS/Phys 9, Fall 5, Lecture 4
3 Since S ± S x ± is y, where S x, S y are Hermitian, S + S. Hence A + (s,m A (s,m+. We are free to choose a phase for the eigenstates; set it so A + (real and nonnegative. Now Also, s,m S S + s,m (S s,m S + s,m (S+ s,m S + s,m A + s,m s,m A +. S S + (S x is y (S x + is y S x + S y + i[s x,s y ] S S z hs z. Therefore, s,m S S + s,m s,m (S S z hs z s,m h s(s+ ( hm h( hm h (s(s+ m(m+, using S s,m h s(s+ s,m and Sz s,m hm s,m. Thus A + (s,m h s(s+ m(m+ A (s,m A + (s,m h s(s+ m(m. Now we use these values A ± to find the desired coefficients: S + S + S S h ( + ( ( + h h ( + ( ( h S x (S+ + S [S+ + S ] S x [+ h ] So S x h S x (S + + S [ h + ] h S x (S + + S [+ h h ] S x (S + + S [ h + ] ( C/CS/Phys 9, Fall 5, Lecture 4
4 Find S y matrix: Use S y i (S + S. The proceed similarly to above for S x. Check it out yourself to see that you understand the matrix and bra-ket mechanics. ( i Answer: S y h i In summary, we define ( ( σ σ ( i σ i ( σ Then, S 4 h σ, S x h σ, S y h σ, S z h σ σ,σ,σ,σ are called the Pauli Spin Matrices. They are very important for understanding the behavior of two-level systems. Note that we have already encountered these in our discussion of qubits, where they correspond to the gates X σ, Y σ, Z σ, I σ. In the next couple of lectures we shall frequently interconvert, using S x h X, S y h Y, S z h Z. Measuring Spin We can measure the spin state m with a Stern-Gerlach device. This is simply a magnet set up to generate a particular inhomogeneous B field. In the figure below, the field is strong near the N pole (below and weaker near the S pole (above. If the z-axis points upwards, then we have a negative field gradient in the z direction, i.e., B/ z <. µ S N up down When a particle with spin state ψ α + β is shot through the apparatus from the left, its spin-up portion is deflected upward, and its spin-down portion downward. The particle s spin becomes entangled with its position! Placing detectors to intercept the outgoing paths therefore measures the particle s spin. Why does this work? We ll give a semiclassical explanation mixing the classical F m a and the quantum Hψ Eψ which is not really correct, but gives the correct intuition. [See Griffith s 4.4., pp for a more complete argument.] Now the potential energy due to the spin interacting with the field is E µ B, so the associated force is F spin E ( µ B. C/CS/Phys 9, Fall 5, Lecture 4 4
5 At the center B B(zẑ, with B z <, so F B (µ z B(z µ z z ẑ. The magnetic moment µ is related to spin S by µ gq ms e ms for an electron. Hence F e m B z S zẑ ; if the electron is spin up (S z +/, the force is upward, and if the electron is spin down (S z /, the force is downward. 4 Initialize a Spin Qubit How can we create a beam of qubits in the state ψ? Pass a beam of spin- particles with randomly oriented spins through a Stern-Gerlach apparatus oriented along the z axis. Block the downward-pointing beam, leaving the other beam of qubits. Note that we measure the spin when we intercept an outgoing beam measurement process is probabilistic and not unitary. How can we create a beam of qubits in the state ψ α +β? First find the point on the Bloch sphere corresponding to ψ. That is, write ψ α + β cos θ + e iϕ sin θ (up to a phase, where tan θ β α eiϕ β/ β α/ α. The polar coordinates θ,ϕ determine a unit vector ˆn cosϕ sin θ ˆx+sinϕ sinθŷ+cosθẑ. Now just point the Stern-Gerlach device in the corresponding direction on the Bloch sphere, and intercept one of the two outgoing beams. That is, a Stern-Gerlach device pointed in direction ˆn measures S ˆn ˆn S. ˆ Some details for this. We need to find the eigenstates of S n S ˆn. First express this in cartesian coordinates, using ˆn sinθ cos φ ˆx+sinθ cosφŷ+cosθẑ, and the relations S α h/α,α X,Y,Z. We thereby arrive at the x matrix representation of S n in the z-basis: S n h ( cos θ sin θe iφ sinθe iφ, cosθ Now diagonalize this to obtain eigenvalues ± h/ (why are you not surprised? and eigenstates n cos θ + e iϕ sin θ (s n + h n e iθ sin θ + cos θ (sn h. The first eigenstate is the desired general state on the Bloch sphere, so we just need to intercept the positive spin eigenstate, i.e., upward deflected beam in the S-G frame. Can we use an S-G apparatus to implement a unitary (deterministic transformation? No, since the S-G apparatus makes a measurement and is not unitary. In other words, it collapses the wave function to one component only. It is fine for initializing an arbitrary state, but to make a unitary transformation we have to evolve the wave function according to a Hamiltonian Ĥ: ψ(t e ī h Ĥt ψ( C/CS/Phys 9, Fall 5, Lecture 4 5
6 This rotates the spin qubit wave function on the Bloch sphere. In the next lecture we will see how to accomplish an arbitrary single-qubit unitary gate (a arbitrary rotation on the Bloch sphere by two different approaches, Larmor precession and spin resonance. C/CS/Phys 9, Fall 5, Lecture 4 6
PHY4604 Introduction to Quantum Mechanics Fall 2004 Practice Test 3 November 22, 2004
PHY464 Introduction to Quantum Mechanics Fall 4 Practice Test 3 November, 4 These problems are similar but not identical to the actual test. One or two parts will actually show up.. Short answer. (a) Recall
More information0.1 Phase Estimation Technique
Phase Estimation In this lecture we will describe Kitaev s phase estimation algorithm, and use it to obtain an alternate derivation of a quantum factoring algorithm We will also use this technique to design
More informationChapter 9 Unitary Groups and SU(N)
Chapter 9 Unitary Groups and SU(N) The irreducible representations of SO(3) are appropriate for describing the degeneracies of states of quantum mechanical systems which have rotational symmetry in three
More information1 Variational calculation of a 1D bound state
TEORETISK FYSIK, KTH TENTAMEN I KVANTMEKANIK FÖRDJUPNINGSKURS EXAMINATION IN ADVANCED QUANTUM MECHAN- ICS Kvantmekanik fördjupningskurs SI38 för F4 Thursday December, 7, 8. 13. Write on each page: Name,
More informationarxiv:quant-ph/9607009v1 11 Jul 1996
Distillability of Inseparable Quantum Systems Micha l Horodecki Department of Mathematics and Physics University of Gdańsk, 80 952 Gdańsk, Poland arxiv:quant-ph/9607009v1 11 Jul 1996 Pawe l Horodecki Faculty
More informationBits Superposition Quantum Parallelism
7-Qubit Quantum Computer Typical Ion Oscillations in a Trap Bits Qubits vs Each qubit can represent both a or at the same time! This phenomenon is known as Superposition. It leads to Quantum Parallelism
More informationChapter 17. Orthogonal Matrices and Symmetries of Space
Chapter 17. Orthogonal Matrices and Symmetries of Space Take a random matrix, say 1 3 A = 4 5 6, 7 8 9 and compare the lengths of e 1 and Ae 1. The vector e 1 has length 1, while Ae 1 = (1, 4, 7) has length
More informationQUANTUM COMPUTER ELEMENTS BASED ON COUPLED QUANTUM WAVEGUIDES
Ó³ Ÿ. 2007.. 4, º 2(138).. 237Ä243 Š Œ œ ƒˆˆ ˆ ˆŠˆ QUANTUM COMPUTER ELEMENTS BASED ON COUPLED QUANTUM WAVEGUIDES M. I. Gavrilov, L. V. Gortinskaya, A. A. Pestov, I. Yu. Popov 1, E. S. Tesovskaya Department
More informationSpin. Chapter 6. Advanced Quantum Physics
Chapter 6 Spin Until we have focussed on the quantum mechanics of particles which are featureless, carrying no internal degrees of freedom However, a relativistic formulation of quantum mechanics shows
More information7. Show that the expectation value function that appears in Lecture 1, namely
Lectures on quantum computation by David Deutsch Lecture 1: The qubit Worked Examples 1. You toss a coin and observe whether it came up heads or tails. (a) Interpret this as a physics experiment that ends
More informationChapter 6. Orthogonality
6.3 Orthogonal Matrices 1 Chapter 6. Orthogonality 6.3 Orthogonal Matrices Definition 6.4. An n n matrix A is orthogonal if A T A = I. Note. We will see that the columns of an orthogonal matrix must be
More informationSimilarity and Diagonalization. Similar Matrices
MATH022 Linear Algebra Brief lecture notes 48 Similarity and Diagonalization Similar Matrices Let A and B be n n matrices. We say that A is similar to B if there is an invertible n n matrix P such that
More informationParticle Physics. Michaelmas Term 2011 Prof Mark Thomson. Handout 7 : Symmetries and the Quark Model. Introduction/Aims
Particle Physics Michaelmas Term 2011 Prof Mark Thomson Handout 7 : Symmetries and the Quark Model Prof. M.A. Thomson Michaelmas 2011 206 Introduction/Aims Symmetries play a central role in particle physics;
More information1 Now, Why do we want to learn Quantum Mechanics
1 Now, Why do we want to learn Quantum Mechanics Quantum mechanics is a mathematical theory that can be used to predict chemical properties. But this fact has been known since the 1920s, so what s new?
More informationIntroduction to Quantum Computing
Introduction to Quantum Computing Javier Enciso encisomo@in.tum.de Joint Advanced Student School 009 Technische Universität München April, 009 Abstract In this paper, a gentle introduction to Quantum Computing
More informationTeoretisk Fysik KTH. Advanced QM (SI2380), test questions 1
Teoretisk Fysik KTH Advanced QM (SI238), test questions NOTE THAT I TYPED THIS IN A HURRY AND TYPOS ARE POSSIBLE: PLEASE LET ME KNOW BY EMAIL IF YOU FIND ANY (I will try to correct typos asap - if you
More informationThe Limits of Adiabatic Quantum Computation
The Limits of Adiabatic Quantum Computation Alper Sarikaya June 11, 2009 Presentation of work given on: Thesis and Presentation approved by: Date: Contents Abstract ii 1 Introduction to Quantum Computation
More informationQuantum Computing. Robert Sizemore
Quantum Computing Robert Sizemore Outline Introduction: What is quantum computing? What use is quantum computing? Overview of Quantum Systems Dirac notation & wave functions Two level systems Classical
More informationQuantum Mechanics and Representation Theory
Quantum Mechanics and Representation Theory Peter Woit Columbia University Texas Tech, November 21 2013 Peter Woit (Columbia University) Quantum Mechanics and Representation Theory November 2013 1 / 30
More information1. Units of a magnetic field might be: A. C m/s B. C s/m C. C/kg D. kg/c s E. N/C m ans: D
Chapter 28: MAGNETIC FIELDS 1 Units of a magnetic field might be: A C m/s B C s/m C C/kg D kg/c s E N/C m 2 In the formula F = q v B: A F must be perpendicular to v but not necessarily to B B F must be
More informationLecture L3 - Vectors, Matrices and Coordinate Transformations
S. Widnall 16.07 Dynamics Fall 2009 Lecture notes based on J. Peraire Version 2.0 Lecture L3 - Vectors, Matrices and Coordinate Transformations By using vectors and defining appropriate operations between
More informationInner Product Spaces and Orthogonality
Inner Product Spaces and Orthogonality week 3-4 Fall 2006 Dot product of R n The inner product or dot product of R n is a function, defined by u, v a b + a 2 b 2 + + a n b n for u a, a 2,, a n T, v b,
More informationQuantum Mechanics: Postulates
Quantum Mechanics: Postulates 5th April 2010 I. Physical meaning of the Wavefunction Postulate 1: The wavefunction attempts to describe a quantum mechanical entity (photon, electron, x-ray, etc.) through
More informationMagnetic Dipoles. Magnetic Field of Current Loop. B r. PHY2061 Enriched Physics 2 Lecture Notes
Disclaimer: These lecture notes are not meant to replace the course textbook. The content may be incomplete. Some topics may be unclear. These notes are only meant to be a study aid and a supplement to
More informationLINEAR ALGEBRA W W L CHEN
LINEAR ALGEBRA W W L CHEN c W W L Chen, 1997, 2008 This chapter is available free to all individuals, on understanding that it is not to be used for financial gain, and may be downloaded and/or photocopied,
More informationInner Product Spaces
Math 571 Inner Product Spaces 1. Preliminaries An inner product space is a vector space V along with a function, called an inner product which associates each pair of vectors u, v with a scalar u, v, and
More informationAu = = = 3u. Aw = = = 2w. so the action of A on u and w is very easy to picture: it simply amounts to a stretching by 3 and 2, respectively.
Chapter 7 Eigenvalues and Eigenvectors In this last chapter of our exploration of Linear Algebra we will revisit eigenvalues and eigenvectors of matrices, concepts that were already introduced in Geometry
More informationCOVE: A PRACTICAL QUANTUM COMPUTER PROGRAMMING FRAMEWORK. Matthew Daniel Purkeypile. M.S. Computer Science, American Sentinel University, 2005
COVE: A PRACTICAL QUANTUM COMPUTER PROGRAMMING FRAMEWORK By Matthew Daniel Purkeypile M.S. Computer Science, American Sentinel University, 25 B.S. Computer Science, American Sentinel University, 24 A Dissertation
More informationBOX. The density operator or density matrix for the ensemble or mixture of states with probabilities is given by
2.4 Density operator/matrix Ensemble of pure states gives a mixed state BOX The density operator or density matrix for the ensemble or mixture of states with probabilities is given by Note: Once mixed,
More informationQuantum Physics II (8.05) Fall 2013 Assignment 4
Quantum Physics II (8.05) Fall 2013 Assignment 4 Massachusetts Institute of Technology Physics Department Due October 4, 2013 September 27, 2013 3:00 pm Problem Set 4 1. Identitites for commutators (Based
More informationVector surface area Differentials in an OCS
Calculus and Coordinate systems EE 311 - Lecture 17 1. Calculus and coordinate systems 2. Cartesian system 3. Cylindrical system 4. Spherical system In electromagnetics, we will often need to perform integrals
More informationLecture 1: Schur s Unitary Triangularization Theorem
Lecture 1: Schur s Unitary Triangularization Theorem This lecture introduces the notion of unitary equivalence and presents Schur s theorem and some of its consequences It roughly corresponds to Sections
More informationLecture 18 - Clifford Algebras and Spin groups
Lecture 18 - Clifford Algebras and Spin groups April 5, 2013 Reference: Lawson and Michelsohn, Spin Geometry. 1 Universal Property If V is a vector space over R or C, let q be any quadratic form, meaning
More informationThree Pictures of Quantum Mechanics. Thomas R. Shafer April 17, 2009
Three Pictures of Quantum Mechanics Thomas R. Shafer April 17, 2009 Outline of the Talk Brief review of (or introduction to) quantum mechanics. 3 different viewpoints on calculation. Schrödinger, Heisenberg,
More informationPrecession of spin and Precession of a top
6. Classical Precession of the Angular Momentum Vector A classical bar magnet (Figure 11) may lie motionless at a certain orientation in a magnetic field. However, if the bar magnet possesses angular momentum,
More information1 2 3 1 1 2 x = + x 2 + x 4 1 0 1
(d) If the vector b is the sum of the four columns of A, write down the complete solution to Ax = b. 1 2 3 1 1 2 x = + x 2 + x 4 1 0 0 1 0 1 2. (11 points) This problem finds the curve y = C + D 2 t which
More informationClassical Angular Momentum. The Physics of Rotational Motion.
3. Angular Momentum States. We now employ the vector model to enumerate the possible number of spin angular momentum states for several commonly encountered situations in photochemistry. We shall give
More informationLinear Algebra Review. Vectors
Linear Algebra Review By Tim K. Marks UCSD Borrows heavily from: Jana Kosecka kosecka@cs.gmu.edu http://cs.gmu.edu/~kosecka/cs682.html Virginia de Sa Cogsci 8F Linear Algebra review UCSD Vectors The length
More informationThe Quantum Harmonic Oscillator Stephen Webb
The Quantum Harmonic Oscillator Stephen Webb The Importance of the Harmonic Oscillator The quantum harmonic oscillator holds a unique importance in quantum mechanics, as it is both one of the few problems
More informationOrthogonal Diagonalization of Symmetric Matrices
MATH10212 Linear Algebra Brief lecture notes 57 Gram Schmidt Process enables us to find an orthogonal basis of a subspace. Let u 1,..., u k be a basis of a subspace V of R n. We begin the process of finding
More informationMATH10212 Linear Algebra. Systems of Linear Equations. Definition. An n-dimensional vector is a row or a column of n numbers (or letters): a 1.
MATH10212 Linear Algebra Textbook: D. Poole, Linear Algebra: A Modern Introduction. Thompson, 2006. ISBN 0-534-40596-7. Systems of Linear Equations Definition. An n-dimensional vector is a row or a column
More informationLS.6 Solution Matrices
LS.6 Solution Matrices In the literature, solutions to linear systems often are expressed using square matrices rather than vectors. You need to get used to the terminology. As before, we state the definitions
More informationQuantum Computing and Grover s Algorithm
Quantum Computing and Grover s Algorithm Matthew Hayward January 14, 2015 1 Contents 1 Motivation for Study of Quantum Computing 3 1.1 A Killer App for Quantum Computing.............. 3 2 The Quantum Computer
More informationMatrix Calculations: Applications of Eigenvalues and Eigenvectors; Inner Products
Matrix Calculations: Applications of Eigenvalues and Eigenvectors; Inner Products H. Geuvers Institute for Computing and Information Sciences Intelligent Systems Version: spring 2015 H. Geuvers Version:
More informationx1 x 2 x 3 y 1 y 2 y 3 x 1 y 2 x 2 y 1 0.
Cross product 1 Chapter 7 Cross product We are getting ready to study integration in several variables. Until now we have been doing only differential calculus. One outcome of this study will be our ability
More informationSimulated Quantum Annealer
Simulated Quantum Annealer Department of CIS - Senior Design 013-014 Danica Bassman danicab@seas.upenn.edu University of Pennsylvania Philadelphia, PA ABSTRACT Quantum computing requires qubits, which
More information2. Spin Chemistry and the Vector Model
2. Spin Chemistry and the Vector Model The story of magnetic resonance spectroscopy and intersystem crossing is essentially a choreography of the twisting motion which causes reorientation or rephasing
More informationQuantum Computation: Towards the Construction of a Between Quantum and Classical Computer
Quantum Computation: Towards the Construction of a Between Quantum and Classical Computer Diederik Aerts and Bart D Hooghe Center Leo Apostel for Interdisciplinary Studies (CLEA) Foundations of the Exact
More informationLecture 1 Version: 14/08/28. Frontiers of Condensed Matter San Sebastian, Aug. 28-30, 2014. Dr. Leo DiCarlo l.dicarlo@tudelft.nl dicarlolab.tudelft.
Introduction to quantum computing (with superconducting circuits) Lecture 1 Version: 14/08/28 Frontiers of Condensed Matter San Sebastian, Aug. 28-30, 2014 Dr. Leo DiCarlo l.dicarlo@tudelft.nl dicarlolab.tudelft.nl
More information[1] Diagonal factorization
8.03 LA.6: Diagonalization and Orthogonal Matrices [ Diagonal factorization [2 Solving systems of first order differential equations [3 Symmetric and Orthonormal Matrices [ Diagonal factorization Recall:
More informationRecall the basic property of the transpose (for any A): v A t Aw = v w, v, w R n.
ORTHOGONAL MATRICES Informally, an orthogonal n n matrix is the n-dimensional analogue of the rotation matrices R θ in R 2. When does a linear transformation of R 3 (or R n ) deserve to be called a rotation?
More informationLecture 20: Transmission (ABCD) Matrix.
Whites, EE 48/58 Lecture 0 Page of 7 Lecture 0: Transmission (ABC) Matrix. Concerning the equivalent port representations of networks we ve seen in this course:. Z parameters are useful for series connected
More informationMath 550 Notes. Chapter 7. Jesse Crawford. Department of Mathematics Tarleton State University. Fall 2010
Math 550 Notes Chapter 7 Jesse Crawford Department of Mathematics Tarleton State University Fall 2010 (Tarleton State University) Math 550 Chapter 7 Fall 2010 1 / 34 Outline 1 Self-Adjoint and Normal Operators
More informationNotes on Orthogonal and Symmetric Matrices MENU, Winter 2013
Notes on Orthogonal and Symmetric Matrices MENU, Winter 201 These notes summarize the main properties and uses of orthogonal and symmetric matrices. We covered quite a bit of material regarding these topics,
More informationLectures notes on orthogonal matrices (with exercises) 92.222 - Linear Algebra II - Spring 2004 by D. Klain
Lectures notes on orthogonal matrices (with exercises) 92.222 - Linear Algebra II - Spring 2004 by D. Klain 1. Orthogonal matrices and orthonormal sets An n n real-valued matrix A is said to be an orthogonal
More informationElasticity Theory Basics
G22.3033-002: Topics in Computer Graphics: Lecture #7 Geometric Modeling New York University Elasticity Theory Basics Lecture #7: 20 October 2003 Lecturer: Denis Zorin Scribe: Adrian Secord, Yotam Gingold
More informationPLANE TRUSSES. Definitions
Definitions PLANE TRUSSES A truss is one of the major types of engineering structures which provides a practical and economical solution for many engineering constructions, especially in the design of
More informationFernanda Ostermann Institute of Physics, Department of Physics, Federal University of Rio Grande do Sul, Brazil. fernanda.ostermann@ufrgs.
Teaching the Postulates of Quantum Mechanics in High School: A Conceptual Approach Based on the Use of a Virtual Mach-Zehnder Interferometer Alexsandro Pereira de Pereira Post-Graduate Program in Physics
More informationThe Matrix Elements of a 3 3 Orthogonal Matrix Revisited
Physics 116A Winter 2011 The Matrix Elements of a 3 3 Orthogonal Matrix Revisited 1. Introduction In a class handout entitled, Three-Dimensional Proper and Improper Rotation Matrices, I provided a derivation
More informationGeneration and Detection of NMR Signals
Generation and Detection of NMR Signals Hanudatta S. Atreya NMR Research Centre Indian Institute of Science NMR Spectroscopy Spin (I)=1/2h B 0 Energy 0 = B 0 Classical picture (B 0 ) Quantum Mechanical
More informationTheory of spin magnetic resonance: derivations of energy spacing and chemical shifts in NMR spectroscopy.
William McFadden Physics 352 Quantum Mechanics Final Project Theory of spin magnetic resonance: derivations of energy spacing and chemical shifts in NMR spectroscopy. Introduction The simplicity of a spin
More information1 Lecture 3: Operators in Quantum Mechanics
1 Lecture 3: Operators in Quantum Mechanics 1.1 Basic notions of operator algebra. In the previous lectures we have met operators: ˆx and ˆp = i h they are called fundamental operators. Many operators
More informationMathematics Course 111: Algebra I Part IV: Vector Spaces
Mathematics Course 111: Algebra I Part IV: Vector Spaces D. R. Wilkins Academic Year 1996-7 9 Vector Spaces A vector space over some field K is an algebraic structure consisting of a set V on which are
More information3. Let A and B be two n n orthogonal matrices. Then prove that AB and BA are both orthogonal matrices. Prove a similar result for unitary matrices.
Exercise 1 1. Let A be an n n orthogonal matrix. Then prove that (a) the rows of A form an orthonormal basis of R n. (b) the columns of A form an orthonormal basis of R n. (c) for any two vectors x,y R
More information9 MATRICES AND TRANSFORMATIONS
9 MATRICES AND TRANSFORMATIONS Chapter 9 Matrices and Transformations Objectives After studying this chapter you should be able to handle matrix (and vector) algebra with confidence, and understand the
More informationSimulation of quantum dynamics via classical collective behavior
arxiv:quant-ph/0602155v1 17 Feb 2006 Simulation of quantum dynamics via classical collective behavior Yu.I.Ozhigov Moscow State University, Institute of physics and technology of RAS March 25, 2008 Abstract
More information230483 - QOT - Quantum Optical Technologies
Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2015 230 - ETSETB - Barcelona School of Telecommunications Engineering 739 - TSC - Department of Signal Theory and Communications
More informationNuclear Magnetic Resonance
Nuclear Magnetic Resonance Author: James Dragan Lab Partner: Stefan Evans Physics Department, Stony Brook University, Stony Brook, NY 794. (Dated: December 5, 23) We study the principles behind Nuclear
More informationMagnetic Fields and Forces. AP Physics B
Magnetic ields and orces AP Physics acts about Magnetism Magnets have 2 poles (north and south) Like poles repel Unlike poles attract Magnets create a MAGNETIC IELD around them Magnetic ield A bar magnet
More informationTill now, almost all attention has been focussed on discussing the state of a quantum system.
Chapter 13 Observables and Measurements in Quantum Mechanics Till now, almost all attention has been focussed on discussing the state of a quantum system. As we have seen, this is most succinctly done
More informationMASTER OF SCIENCE IN PHYSICS MASTER OF SCIENCES IN PHYSICS (MS PHYS) (LIST OF COURSES BY SEMESTER, THESIS OPTION)
MASTER OF SCIENCE IN PHYSICS Admission Requirements 1. Possession of a BS degree from a reputable institution or, for non-physics majors, a GPA of 2.5 or better in at least 15 units in the following advanced
More informationAnonymous key quantum cryptography and unconditionally secure quantum bit commitment
Anonymous key quantum cryptography and unconditionally secure quantum bit commitment Horace P. Yuen Department of Electrical and Computer Engineering Department of Physics and Astronomy Northwestern University
More informationPhysics 221A Spring 2016 Notes 1 The Mathematical Formalism of Quantum Mechanics
Copyright c 2016 by Robert G. Littlejohn Physics 221A Spring 2016 Notes 1 The Mathematical Formalism of Quantum Mechanics 1. Introduction The prerequisites for Physics 221A include a full year of undergraduate
More informationSection 6.1 - Inner Products and Norms
Section 6.1 - Inner Products and Norms Definition. Let V be a vector space over F {R, C}. An inner product on V is a function that assigns, to every ordered pair of vectors x and y in V, a scalar in F,
More informationAdding vectors We can do arithmetic with vectors. We ll start with vector addition and related operations. Suppose you have two vectors
1 Chapter 13. VECTORS IN THREE DIMENSIONAL SPACE Let s begin with some names and notation for things: R is the set (collection) of real numbers. We write x R to mean that x is a real number. A real number
More informationP.A.M. Dirac Received May 29, 1931
P.A.M. Dirac, Proc. Roy. Soc. A 133, 60 1931 Quantised Singularities in the Electromagnetic Field P.A.M. Dirac Received May 29, 1931 1. Introduction The steady progress of physics requires for its theoretical
More informationRotation: Moment of Inertia and Torque
Rotation: Moment of Inertia and Torque Every time we push a door open or tighten a bolt using a wrench, we apply a force that results in a rotational motion about a fixed axis. Through experience we learn
More informationComputer Physics Communications
Computer Physics Communications 183 (2012) 1760 1772 Contents lists available at SciVerse ScienceDirect Computer Physics Communications www.elsevier.com/locate/cpc QuTiP: An open-source Python framework
More informationFigure 1.1 Vector A and Vector F
CHAPTER I VECTOR QUANTITIES Quantities are anything which can be measured, and stated with number. Quantities in physics are divided into two types; scalar and vector quantities. Scalar quantities have
More informationKeywords Quantum logic gates, Quantum computing, Logic gate, Quantum computer
Volume 3 Issue 10 October 2013 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com An Introduction
More informationPhysics 112 Homework 5 (solutions) (2004 Fall) Solutions to Homework Questions 5
Solutions to Homework Questions 5 Chapt19, Problem-2: (a) Find the direction of the force on a proton (a positively charged particle) moving through the magnetic fields in Figure P19.2, as shown. (b) Repeat
More informationCHAPTER 2. Eigenvalue Problems (EVP s) for ODE s
A SERIES OF CLASS NOTES FOR 005-006 TO INTRODUCE LINEAR AND NONLINEAR PROBLEMS TO ENGINEERS, SCIENTISTS, AND APPLIED MATHEMATICIANS DE CLASS NOTES 4 A COLLECTION OF HANDOUTS ON PARTIAL DIFFERENTIAL EQUATIONS
More informationFundamental Quantum Mechanics for Engineers
Fundamental Quantum Mechanics for Engineers Leon van Dommelen 5/5/07 Version 3.1 beta 3. ii Dedication To my parents iii iv Preface Why Another Book on Quantum Mechanics? This document was written because
More informationA linear combination is a sum of scalars times quantities. Such expressions arise quite frequently and have the form
Section 1.3 Matrix Products A linear combination is a sum of scalars times quantities. Such expressions arise quite frequently and have the form (scalar #1)(quantity #1) + (scalar #2)(quantity #2) +...
More information5.61 Physical Chemistry 25 Helium Atom page 1 HELIUM ATOM
5.6 Physical Chemistry 5 Helium Atom page HELIUM ATOM Now that we have treated the Hydrogen like atoms in some detail, we now proceed to discuss the next simplest system: the Helium atom. In this situation,
More informationPHYSICAL REVIEW A 79, 052110 2009. Multiple-time states and multiple-time measurements in quantum mechanics
Multiple-time states and multiple-time measurements in quantum mechanics Yakir Aharonov, 1, Sandu Popescu, 3,4 Jeff Tollaksen, and Lev Vaidman 1 1 Raymond and Beverly Sackler School of Physics and Astronomy,
More informationIntroduction to Matrix Algebra
Psychology 7291: Multivariate Statistics (Carey) 8/27/98 Matrix Algebra - 1 Introduction to Matrix Algebra Definitions: A matrix is a collection of numbers ordered by rows and columns. It is customary
More informationPhys222 Winter 2012 Quiz 4 Chapters 29-31. Name
Name If you think that no correct answer is provided, give your answer, state your reasoning briefly; append additional sheet of paper if necessary. 1. A particle (q = 5.0 nc, m = 3.0 µg) moves in a region
More informationQuantum Monte Carlo and the negative sign problem
Quantum Monte Carlo and the negative sign problem or how to earn one million dollar Matthias Troyer, ETH Zürich Uwe-Jens Wiese, Universität Bern Complexity of many particle problems Classical 1 particle:
More informationNMR for Physical and Biological Scientists Thomas C. Pochapsky and Susan Sondej Pochapsky Table of Contents
Preface Symbols and fundamental constants 1. What is spectroscopy? A semiclassical description of spectroscopy Damped harmonics Quantum oscillators The spectroscopic experiment Ensembles and coherence
More informationPQM Supplementary Notes: Spin, topology, SU(2) SO(3) etc
PQM Supplementary Notes: Spin, topology, SU(2) SO(3) etc (away from the syllabus, but interesting material, based on notes by Dr J.M. Evans) 1 Rotations and Non-contractible Loops Rotations in R 3 can
More informationScott Hughes 7 April 2005. Massachusetts Institute of Technology Department of Physics 8.022 Spring 2005. Lecture 15: Mutual and Self Inductance.
Scott Hughes 7 April 2005 151 Using induction Massachusetts nstitute of Technology Department of Physics 8022 Spring 2005 Lecture 15: Mutual and Self nductance nduction is a fantastic way to create EMF;
More informationMagnetic Field and Magnetic Forces
Chapter 27 Magnetic Field and Magnetic Forces PowerPoint Lectures for University Physics, Thirteenth Edition Hugh D. Young and Roger A. Freedman Lectures by Wayne Anderson Goals for Chapter 27 Magnets
More information2 Session Two - Complex Numbers and Vectors
PH2011 Physics 2A Maths Revision - Session 2: Complex Numbers and Vectors 1 2 Session Two - Complex Numbers and Vectors 2.1 What is a Complex Number? The material on complex numbers should be familiar
More informationBasic Principles of Magnetic Resonance
Basic Principles of Magnetic Resonance Contents: Jorge Jovicich jovicich@mit.edu I) Historical Background II) An MR experiment - Overview - Can we scan the subject? - The subject goes into the magnet -
More information5. Orthogonal matrices
L Vandenberghe EE133A (Spring 2016) 5 Orthogonal matrices matrices with orthonormal columns orthogonal matrices tall matrices with orthonormal columns complex matrices with orthonormal columns 5-1 Orthonormal
More informationChapter 19: Magnetic Forces and Fields
Chapter 19: Magnetic Forces and Fields Magnetic Fields Magnetic Force on a Point Charge Motion of a Charged Particle in a Magnetic Field Crossed E and B fields Magnetic Forces on Current Carrying Wires
More informationLinearly Independent Sets and Linearly Dependent Sets
These notes closely follow the presentation of the material given in David C. Lay s textbook Linear Algebra and its Applications (3rd edition). These notes are intended primarily for in-class presentation
More informationIrreducible Representations of SO(2) and SO(3)
Chapter 8 Irreducible Representations of SO(2) and SO(3) The shortest path between two truths in the real domain passes through the complex domain. Jacques Hadamard 1 Some of the most useful aspects of
More information5.3 The Cross Product in R 3
53 The Cross Product in R 3 Definition 531 Let u = [u 1, u 2, u 3 ] and v = [v 1, v 2, v 3 ] Then the vector given by [u 2 v 3 u 3 v 2, u 3 v 1 u 1 v 3, u 1 v 2 u 2 v 1 ] is called the cross product (or
More information