Cover image for Control of quantum systems : theory and methods
Title:
Control of quantum systems : theory and methods
Personal Author:
Publication Information:
Singapore : John Wiley & Sons Inc., 2014
Physical Description:
xi, 425 pages : illustrations ; 25 cm.
ISBN:
9781118608128
Abstract:
"Control of Quantum Systems: Theory and Methods provides an insight into the modern approaches to control of quantum systems evolution, with a focus on both closed and open (dissipative) quantum systems. The topic is timely covering the newest research in the field, and presents and summarizes practical methods and addresses the more theoretical aspects of control, which are of high current interest, but which are not covered at this level in other text books. The quantum control theory and methods written in the book are the results of combination of macro-control theory and microscopic quantum system features. As the development of the nanotechnology progresses, the quantum control theory and methods proposed today are expected to be useful in real quantum systems within five years. The progress of the quantum control theory and methods will promote the progress and development of quantum information, quantum computing, and quantum communication"--provided by publisher

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30000010338237 TK7874.885 C66 2014 Open Access Book Book
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Summary

Summary

Advanced research reference examining the closed and open quantum systems

Control of Quantum Systems: Theory and Methods provides an insight into the modern approaches to control of quantum systems evolution, with a focus on both closed and open (dissipative) quantum systems. The topic is timely covering the newest research in the field, and presents and summarizes practical methods and addresses the more theoretical aspects of control, which are of high current interest, but which are not covered at this level in other text books.

The quantum control theory and methods written in the book are the results of combination of macro-control theory and microscopic quantum system features. As the development of the nanotechnology progresses, the quantum control theory and methods proposed today are expected to be useful in real quantum systems within five years. The progress of the quantum control theory and methods will promote the progress and development of quantum information, quantum computing, and quantum communication.

Equips readers with the potential theories and advanced methods to solve existing problems in quantum optics/information/computing, mesoscopic systems, spin systems, superconducting devices, nano-mechanical devices, precision metrology.

Ideal for researchers, academics and engineers in quantum engineering, quantum computing, quantum information, quantum communication, quantum physics, and quantum chemistry, whose research interests are quantum systems control.


Author Notes

Shuang Cong University of Science and Technology of China


Table of Contents

About the Authorp. xiii
Prefacep. xv
1 Introductionp. 1
1.1 Quantum Statesp. 2
1.2 Quantum Systems Control Modelsp. 3
1.2.1 Schrodinger Equationp. 4
1.2.1 Liouville Equationp. 4
1.2.1 Markovian Master Equationsp. 5
1.2.2 Non-Markovian Master Equationsp. 5
1.3 Structures of Quantum Control Systemsp. 6
1.4 Control Tasks and Objectivesp. 8
1.5 System Characteristics Analysesp. 9
1.5.1 Controllabilityp. 9
1.5.2 Reachabilityp. 9
1.5.3 Observabilityp. 10
1.5.4 Stabilityp. 10
1.5.1 Convergencep. 10
1.5.6 Robustnessp. 10
1.6.1 Performance of Control Systemsp. 11
1.6.1 Probabilityp. 11
1.6.1 Fidelityp. 11
1.6.3 Purityp. 12
1.7 Quantum Systems Controlp. 13
1.7.1 Description of Control Problemsp. 13
1.7.2 Quantum Control Theory and Methodsp. 13
1.8 Overview of the Bookp. 16
Referencesp. 18
2 State Transfer and Analysis of Quantum Systems on the Bloch Spherep. 21
2.1 Analysis of a Two-level Quantum System Statep. 21
2.1.1 Pure State Expression on the Bloch Spherep. 21
2.1.2 Mixed States in the Bloch Spherep. 24
2.1.3 Control Trajectory on the Block Spherep. 26
2.2 State Transfer of Quantum Systems on the Bloch Spherep. 27
2.2.1 Control of a Single Spin-1/2 Particlep. 28
2.2.2 Situation with the Minimum ¿t of Control Fieldsp. 30
2.2.3 Situation with a Fixed Time Tp. 31
2.2.4 Numerical Simulations and Results Analysesp. 33
Referencesp. 37
3 Control Methods of Closed Quantum Systemsp. 39
3.1 Improved Optimal Control Strategies Applied in Quantum Systemsp. 39
3.1.1 Optimal Control of Quantum Systemsp. 40
3.1.2 Improved Quantum Optimal Control Methodp. 42
3.1.3 Krotov-Based Method of Optimal Controlp. 43
3.1.4 Numerical Simulation and Performance Analysisp. 45
3.2 Control Design of High-Dimensional Spin-1/2 Quantum Systemsp. 48
3.2.1 Coherent Population Transfer Approachesp. 48
5.2.1 Relationships between the Hamiltonian of Spin-1/2 Quantum Systems under Control and the Sequence of Pulsesp. 49
3.2.1 Design of the Control Sequence of Pulsesp. 52
3.2.2 Simulation Experiments of Population Transferp. 53
3.3 Comparison of Time Optimal Control for Two-Level Quantum Systemsp. 57
5.3.1 Description of System Modelp. 58
3.3.1 Geometric Controlp. 59
3.3.2 Bang-Bang Controlp. 61
3.3.3 Time Comparisons of Two Control Strategiesp. 64
3.3.4 Numerical Simulation Experiments and Results Analysesp. 66
Referencesp. 71
4 Manipulation of Eigenstates - Based on Lyapunov Methodp. 73
4.1 Principle of the Lyapunov Stability Theoremp. 74
4.2 Quantum Control Strategy Based on State Distancep. 75
4.2.1 Selection of the Lyapunov Functionp. 76
4.2.2 Design of the Feedback Control Lawp. 77
4.2.5 Analysis and Proof of the Stabilityp. 78
4.2.4 Application to a Spin-1/2 Particle Systemp. 80
4.3 Optimal Quantum Control Based on the Lyapunov Stability Theoremp. 81
4.3.1 Description of the System Modelp. 82
4.3.2 Optimal Control Law Design and Property Analysisp. 84
4.3.3 Simulation Experiments and the Results Comparisonsp. 86
4.4 Realization of the Quantum Hadamard Gate Based on the Lyapunov Methodp. 88
4.4.1 Mathematical Modelp. 89
4.4.2 Realization of the Quantum Hadamard Gatep. 90
4.4.3 Design of Control Fieldsp. 92
4.4.4 Numerical Simulations and Comparison Results Analysesp. 94
Referencesp. 96
5 Population Control Based on the Lyapunov Methodp. 99
5.1 Population Control of Equilibrium Slatep. 99
5.1.1 Preliminary Notionsp. 99
5.1.2 Control Laws Designp. 100
5.1.3 Analysis of the Largest Invariant Setp. 101
5.1.4 Considerations on the Determination of Pp. 104
5.1.5 Illustrative Examplep. 105
5.1.6 Appendix: Proof of Theorem 5.1p. 107
5.2 Generalized Control of Quantum Systems in the Frame of Vector Treatmentp. 110
5.2.1 Design of Control Lawp. 110
5.2.2 Convergence Analysisp. 113
5.2.3 Numerical Simulation on a Spin-1/2 Systemp. 114
5.3 Population Control of Eigenstatesp. 117
5.3.1 System Model and Control Lawsp. 117
5.3.2 Largest Invariant Set of Control Systemsp. 118
5.3.3 Analysis of the Eigenstate Controlp. 118
5.3.4 Simulation Experimentsp. 119
Referencesp. 123
6 Quantum General State Control Based on Lyapunov Methodp. 125
6.1 Pure State Manipulationp. 125
6.1.1 Design of Control Law and Discussionp. 125
6.1.2 Control System Simulations and Results Analysesp. 129
6.2 Optimal Control Strategy of the Superposition Statep. 131
6.2.1 Preliminary Knowledgep. 132
6.2.2 Control Law Designp. 133
6.2.3 Numerical Simulationsp. 134
6.3 Optimal Control of Mixed-State Quantum Systemsp. 135
6.3.1 Model of the System to be Controlledp. 136
6.3.2 Control Law Designp. 137
6.3.3 Numerical Simulations and Results Analysesp. 142
6.4 Arbitrary Pure State to a Mixed-State Manipulationp. 145
6.4.1 Transfer from an Arbitrary Pure State to an Eigenstatep. 146
6.4.2 Transfer from an Eigenstate to a Mixed State by Interaction Controlp. 147
6.4.3 Control Design for a Mixed-State Transferp. 149
6.4.4 Numerical Simulation Experimentsp. 151
Referencesp. 154
7 Convergence Analysis Based on the Lyapunov Stability Theoremp. 155
7.1 Population Control of Quantum States Based on Invariant Subsets with the Diagonal Lyapunov Functionp. 155
7.1.1 System Model and Control Designp. 155
7.1.2 Correspondence between any Target Eigenstate and the Value of the Lyapunov Functionp. 156
7.1.3 Invariant Set of Control Systemsp. 157
7.1.4 Numerical Simulationsp. 161
7.1.5 Summary and Discussionp. 164
7.2 A Convergent Control Strategy of Quantum Systemsp. 165
7.2.1 Problem Descriptionp. 165
7.2.2 Construction Method of the Observable Operatorp. 166
7.2.3 Proof of Convergencep. 168
7.2.4 Route Extension Strategyp. 173
7.2.5 Numerical Simulationsp. 174
7.3 Path Programming Control Strategy of Quantum State Transferp. 176
7.3.1 Control Law Design Based on the Lyapunov Method in the Interaction Picturep. 177
7.3.2 Transition Path Programming Control Strategyp. 178
7.3.3 Numerical Simulations and Results Analysesp. 182
Referencesp. 186
8 Control Theory and Methods in Degenerate Casesp. 187
8.1 Implicit Lyapunov Control of Multi-Control Hamiltonian Systems Based on State Errorp. 187
8.1.1 Control Designp. 188
5.1.2 Convergence Proofp. 192
8.1.3 Relation between Two Lyapunov Functionsp. 193
8.1.4 Numerical Simulation and Result Analysisp. 193
8.2 Quantum Lyapunov Control Based on the Average Value of an Imaginary Mechanical Quantityp. 195
8.2.1 Control Law Design and Convergence Proofp. 195
8.2.2 Numerical Simulation and Result Analysisp. 199
8.3 Implicit Lyapunov Control for the Quantum Liouville Equationp. 200
8.3.1 Description of Problemp. 201
8.3.2 Derivation of Control Lawsp. 202
8.3.3 Convergence Analysisp. 205
8.3.4 Numerical Simulationsp. 209
Referencesp. 211
9 Manipulation Methods of the General Statep. 213
9.1 Quantum System Schmidt Decomposition and its Geometric Analysisp. 213
9.1.1 Schmidt Decomposition of Quantum Statesp. 214
9.1.2 Definition of Entanglement Degree Based on the Schmidt Decompositionp. 215
9.1.3 Application of the Schmidt Decompositionp. 216
9.2 Preparation of Entanglement States in a Two-Spin Systemp. 220
9.2.1 Construction of the Two-Spin Systems Model in the Interaction Picturep. 220
9.2.2 Design of the Control Field Based on the Lyapunov Methodp. 223
9.2.3 Proof of Convergence for the Bell Statesp. 226
9.2.4 Numerical Simulationsp. 227
9.3 Purification of the Mixed State for Two-Dimensional Systemsp. 230
9.3.1 Purification by Means of a Probep. 230
9.3.2 Purification by interaction Controlp. 232
9.3.3 Numerical Experiments and Results Comparisonsp. 233
9.3.4 Discussionp. 234
Referencesp. 235
10 State Control of Open Quantum Systemsp. 237
10.1 State Transfer of Open Quantum Systems with a Single Control Fieldp. 237
10.1.1 Dynamical Model of Open Quantum Systemsp. 237
10.1.2 Derivation of Optimal Control Lawp. 238
10.1.3 Control System Designp. 241
10.1.4 Numerical Simulations and Results Analysesp. 242
10.2 Purity and Coherence Compensation through the Interaction between Particlesp. 246
10.2.1 Method of Compensation for Purity and Coherencep. 247
10.2.2 Analysis of System Evolutionp. 250
10.2.3 Numerical Simulationsp. 253
10.2.4 Discussionp. 255
Appendix 10.A Proof of Equation 10.59p. 257
Referencesp. 258
11 State Estimation. Measurement, and Control of Quantum Systemsp. 261
11.1 Suite Estimation Methods in Quantum Systemsp. 261
11.1.1 Background of State Estimation of Quantum Systemsp. 262
11.1.2 Quantum State Estimation Methods Based on the Measurement of Identical Copiesp. 262
11.1.3 Quantum State Reconstruction Methods Based on System Theoryp. 267
11.2 Entanglement Detection and Measurement of Quantum Systemsp. 268
11.2.1 Entanglement Statesp. 269
11.2.2 Entanglement Witnessesp. 271
11.2.3 Entanglement Measuresp. 273
11.2.4 Non-linear Separability Criteriap. 277
11.3 Decohercnce Control Based on Weak Measurementp. 278
11.3.1 Construction of a Weak Measurement Operatorp. 279
11.3.2 Applicability of Weak Measurementp. 280
11.3.3 Effects on Statesp. 282
Appendix 1 LA Proof of Normed Linear Space (A, || · ||)p. 286
Referencesp. 287
12 Stale Preservation of Open Quantum Systemsp. 291
12.1 Coherence Preservation in a ¿-Type Three-Level Atomp. 291
12.1.1 Models and Objectivesp. 292
12.1.2 Design of Control Fieldp. 294
12.1.3 Analysis of Singularities Issuesp. 297
12.1.4 Numerical Simulationsp. 299
12.2 Purity Preservation of Quantum Systems by a Resonant Fieldp. 301
12.2.1 Problem Descriptionp. 302
12.2.2 Purity Property Preservationp. 303
12.2.3 Discussionp. 306
12.3 Coherence Preservation in Markovian Open Quantum Systemsp. 307
12.3.1 Problem Formulationp. 308
12.3.2 Design of Control Variablesp. 311
12.3.3 Numerical Simulationsp. 313
12.3.4 Discussionp. 315
Appendix 12 A Derivation of H Cp. 316
Referencesp. 317
13 State Manipulation in Decoherence-Free Subspacep. 321
13.1 State Transfer and Coherence Maintenance Based on DFS for a Four-Level Energy Open Quantum Systemp. 321
13.1.1 Construction of DFS and the Desired Target Statep. 322
13.1.2 Design of the Lyapunov-Based Control Law for State Transferp. 325
13.1.3 Numerical Simulationsp. 326
13.2 State Transfer Based on a Decoherence-Free Target State for a A-Type N-Level Atomic Systemp. 328
13.2.1 Construction of the Decoherence-Free Target Statep. 328
13.2.2 Design of the Lyapunov-Based Control Law for State Transferp. 331
13.2.3 Numerical Simulations and Results Analysesp. 332
13.3 Control of Quantum States Based on the Lyapunov Method in Decoherence-Free Subspacesp. 336
13.3.1 Problem Descriptionp. 336
13.3.2 Control Design in the Interaction Picturep. 338
13.3.3 Construction of P and Convergence Analysisp. 339
13.3.4 Numerical Simulation Examples and Discussionp. 345
Referencesp. 348
14 Dynamic Decoupling Quantum Control Methodsp. 351
14.1 Phase Decoherence Suppression of an n-Level Atom in ¿;-Configuration with Bang-Bang Controlsp. 351
14.1.1 Dynamical Decoupling Mechanismp. 352
14.1.2 Design of the Bang-Bang Operations Group in Phase Decoherencep. 355
14.1.3 Examples of Designp. 357
14.2 Optimized Dynamical Decoupling in ¿-Type n-Level Atomp. 360
14.2.1 Periodic Dynamical Decouplingp. 361
14.2.2 Uhrig Dynamical Decouplingp. 361
14.2.3 Behaviors of Quantum Coherence under Various Dynamical Decoupling Schemesp. 362
14.2.4 Examplesp. 365
14.2.5 Discussionp. 366
14.3 An Optimized Dynamical Decoupling Strategy to Suppress Decoherencep. 366
14.3.1 Universal Dynamical Decoupling for a Quintp. 367
14.3.2 An Optimized Dynamical Decoupling Schemep. 369
14.3.3 Simulation and Comparisonp. 369
14.3.4 Discussionp. 375
Referencesp. 378
15 Trajectory Tracking of Quantum Systemsp. 381
15.1 Orbit Tracking of Quantum States Based on the Lyapunov Methodp. 382
15.1.1 Description of the System Modelp. 382
15.1.2 Design of Control Lawp. 384
15.1.3 Numerical Simulation Experiments and Results Analysisp. 385
15.2 Orbit Tracking Control of Quantum Systemsp. 389
15.2.1 System Model and Control Law Designp. 390
15.2.1 Numerical Simulation Experimentsp. 391
15.3 Adaptive Trajectory Tracking of Quantum Systemsp. 394
15.3.1 Description of the System Modelp. 396
15.3.2 Control System Design and Characteristic Analysisp. 398
15.3.3 Numerical Simulation and Result Analysisp. 400
15.4 Convergence of Orbit Tracking for Quantum Systemsp. 402
15.4.1 Description of the Control System Modelp. 403
15.4.2 Control Law Derivationp. 404
15.4.3 Convergence Analysisp. 404
15.4.4 Applications and Experimental Results Analysesp. 411
Referencesp. 416
Indexp. 419