作者:徐瑞颐著
出版社:清华大学出版社
出版日期:2024
ISBN:9787302673927
电子书格式:pdf/epub/txt
网盘下载地址:下载现代光量子存储(纯英文)
内容简介
It has proven track records of innovative product development from concept to high volume production with specialization in state-of-the-art coherent silicon photonics integrated circuit (Si-PIC) chip optical engine from design, fabrication, processes, integration to verification, digital and analog high speed (>100Gbps) long reach coherent optical transceivers, DSP, SFP /XFP/QSFP28/QSFP-DD optical transceivers, DFB/FP/VCSEL lasers, APD/PD receivers, passive optical devices including thin film filter, fiber Bragg grating (FBG), DWDM and OADM devices, EDFA, MEMS, LCoS, ROADM, WSS, MCS, precision photonics IC chip engineering, hardware and firmware designs, optical line cards, and DWDM optical system engineering.
作者简介
徐端颐,清华大学教授,历任清华大学微细工程研究所所长、光存储国家工程研究中心主任、国家重点基础研究973首席科学家、美国宾夕法尼亚大学等大学的兼职教授、国际光学光子学会资深委员。已出版光学存储国际技术会议论文集2本,英文专著2本,中文专著5本,在国内外刊物上发表论文4百余篇,拥有相关中国发明专利60余项,美国发明专利两项。
本书特色
本书是徐端颐教授继中文版《光量子存储》之后在光量子存储领域的又一本巨著。涵盖光量子存储从概念到大批量生产的创新产品开发的详细内容,具有极高的技术价值和实用价值。内容包括设计、制造、工艺、集成到验证、数字化的最先进的相干硅光子集成电路 (Si-PIC) 芯片光学引擎和模拟高速、长距离相干光收发器、DSP、SFP /XFP/QSFP28/QSFP-DD 光收发器、DFB/FP/VCSEL 激光器、APD/PD 接收器、无源光器件,包括薄膜滤波器、光纤布拉格光栅(FBG)、DWDM和OADM器件、EDFA、MEMS、LCoS、ROADM、WSS、MCS、精密光子IC芯片工程、硬件和固件设计、光线路卡和DWDM光学系统工程。光量子存储领域科研和开发人员不可多得的参考书。
目录
Chapter 1The latest development in photonic memory
1.1New developments in photonics
1.2Other big data storage technology
1.3Photonic quantum for memory
1.4Controllable瞕ipole quantum memory
1.5Maxwell睟loch equations
1.6Raman瞭ype optical quantum memory
1.7Precision of spin瞖cho瞓ased quantum memories
1.8Integrated photonics for memory
1.9Photonic integration solid state memory
1.10Other new quantum memory technologies
1.10.1Ultraviolet photonic storage
1.10.2Plasmonic optical storage
1.10.3X瞨ay storage
1.10.4Nano瞤robe and molecular polymer storage
1.10.5Electronic quantum holography
1.10.6Compositive application of the different principles
Chapter 2Fundamentals of quantum information
2.1Introduction
2.1.1Quantum computing (QC) roadmap
2.1.2New quantum computation roadmap
2.2Basic concepts
2.2.1Quatum information
2.2.2Targets of quantum information research
2.2.3Experiments
2.2.4Primary concepts
2.2.5Separability criteria and positive maps
2.3Basic concepts
2.3.1Maximally entangled states
2.3.2Channels
2.3.3Observables and preparations
2.3.4Quantum mechanics in phase space
2.4Micro瞐perture laser for photonic memory
2.4.1Teleportation and dense coding
2.4.2Entanglement enhanced teleportation
2.4.3Dense coding
2.4.4Estimating and copying
2.4.5Distillation of entanglement
2.4.6Quantum error correction
2.4.7Quantum computing
2.4.8Quantum cryptography
2.5Entanglement measures
2.5.1General properties and definitions
2.5.2Two qubits
2.5.3Entanglement measures under symmetry
2.6Channel capacity
2.6.1The general case
2.6.2The classical capacity
2.6.3The quantum capacity
2.7Multiple inputs
2.8Quantum probability
2.8.1Review of quantum probability
2.8.2Why classical probability does not suffice
2.8.3Towards a mathematical model
2.8.4Quantum probability
2.8.5Operations on probability spaces
2.8.6Examples of quantum operations
2.8.7Quantum impossibilities
2.8.8Quantum novelties
2.9Dense quantum coding and quantum finite automata
2.9.1Holevo餾 theorem and the entropy coalescence lemma
2.9.2The asymptotic of random access codes
2.9.3One瞱ay quantum finite automata
2.9.4Quantum advantage for dense coding
2.10Quantum data compression
2.10.1Quantum data compression: an example
2.10.2Schumacher encoding in general
2.10.3Mixed瞫tate coding: Holevo information
2.10.4Accessible information
2.11Photonic technologies for quantum information
2.11.1Single瞤hoton sources
2.11.2Entangled瞤hoton sources
2.11.3Single瞤hoton detectors
2.11.4Mathematical background
Chapter 3Multi瞕imension Photonic Memory
3.1Mechanism of photochromic multi瞕imension memory
3.1.1Photochromic reaction
3.1.2Multi瞱avelength photochromic storage process
3.1.3Model of data writing
3.2Experiments for multi瞱avelength and multi瞝evel storage
3.2.1The influence of initial reflectivity to writing speed
3.2.2The influence of the maximum reflectivity to writing process
3.2.3Written time constant k
3.2.4Reflectivity of the reflective layer
3.2.5Time constants k
3.3Crosstalk in multi瞱avelength and multi瞝evel storage
3.3.1Emerging of crosstalk
3.3.2The calculations of crosstalk
3.4Non瞕estructive readout
3.5Multi瞱avelength and multi瞝evel storage system
3.5.1System architecture
3.5.2Optical channel characteristics and crosstalk analysis
3.6Modulation coding and error correction
3.6.1Modulation coding
3.6.2The error correction coding
3.6.3Multi瞱avelength and multi瞝evel storage error code correction
3.6.4Reed睸olomon error瞔orrecting code
3.7Application of multi瞱avelength and multi瞝evel storage
3.7.1Multi瞝evel blu瞨ay disc drive
3.7.2Three瞱avelength eight瞝evel optical storage
3.7.3Multi瞝evel photochromic medium
3.7.4Multi瞝evel amplitude modulation
3.7.5Rate 7/8 run瞝ength and level modulation for multi瞝evel ROM
3.7.67/8 run瞝ength and level modulation code
3.7.7Level modulation process
3.7.8Multi瞝evel amplitude瞞odulation
3.7.9Systems integration
3.7.10Multi瞝evel run瞝ength瞝imited (ML睷LL) modulation
3.7.11Three wavelength and multi瞝evel storage with mask
Chapter 4Photonic super瞨esolution memory
4.1Overview
4.1.1Near瞗ield interaction and microscopy
4.1.2Near瞗ield optics
4.1.3Theoretical modeling of near瞗ield nanoscopic interactions
4.1.4Theoretical modeling of near瞗ield nanoscopic interactions
4.2Principles of near瞗ield optics
4.2.1Base theoretical works
4.2.2Perturbative or self瞔onsistent approach
4.2.3Theories based on matching boundary conditions
4.2.4Expansion in plane waves: grating and diffraction theory
4.2.5Perturbative diffraction theory
4.2.6Scattering theory
4.2.7Near瞗ield distributions
4.2.8Interaction and coupling to the far瞗ield
4.3Optical solid immersion lens (OSIL)
4.3.1Parameters of near瞗ield optical disc systems
4.3.2Solid immersion lens designs
4.3.3Lens design with NA=1.9 for first surface recording
4.3.4Air gap dependence of the spot size for practical optical discs
4.4Super瞨esolution near瞗ield structure (S睷ENS)
4.4.1Numerical model for super resolution effect
4.4.2Numerical approach
4.4.3Correct Fourier transform
4.4.4Simulation of the readout signal
4.4.5S睷ENS with ferroelectrics of chalcogenides
4.5Micro瞐perture laser for NFO data storage
4.5.1Model and numerical methods
4.5.2Numericalresults
4.6Plasmonic near瞗ield recording (PNFR)
4.6.1Holographic lithography (HL) application
4.6.2Plasmonic nanostructures
4.6.3Plasmonic storage medium
4.6.4Nanogap control with optical antennas (Metallic nanoantennas)
4.6.5Plasmonic nano瞫tructures for optical storage
4.6.6The results of FDTD simulations
4.7Metamaterial immersion lenses (MIL)
4.7.1Theory of MIL
4.7.2Simulations and analysis
4.7.3Application in the future
4.8Dynamic pressure air bearing nanogap control
4.8.1Nanogap flight system design theory model
4.8.2Lubrication model on surface interface of optical head/disc
4.8.3Solving discrete modified Reynolds equations
4.8.4Stream function on the underside of micro瞗lying head
4.8.5Dynamic characteristics of micron flight systems
4.8.6Near瞗ield optical dynamic flight experiment system
4.9Micro positive pressure nano瞘ap flying head design
4.9.1Positive pressure micro瞗lying head design
4.9.2The negative pressure micro瞗lying head design
4.9.3Reform design of the slider from magnetic storage
4.9.4Comparative analysis of the micro瞗lying head design
4.9.5Adaptive suspension design
4.10Nano瞘ap flight experimental and testing
4.10.1Main special testing equipment
4.10.2The near瞗ield spacing testing
4.10.3Flight system resonance characteristics testing
4.10.4Flying start/stop characteristics testing
Chapter 5Nanophotonic memory
5.1Nanophotonics and quantum memories
5.1.1Nanophotonics
5.1.2Nanolithography
5.1.3Optical nanoscopy for data storage
5.1.4Rewritable data storage
5.1.5Paint it black
5.1.6Slow light and memory
5.1.7Photon瞖cho quantum memory
5.2Analysis of a quantum memory for photons
5.2.1Principles
5.2.2General solution
5.3Atomic distribution and memory efficiency
5.3.1Memory efficiency versus storage duration
5.3.2Analysis of results
5.3.3Control and releasing of photon
5.3.4Energy control
5.3.5Methods
5.4Photonic quantum controlle memory function
5.4.1Electron spins in quantum
5.4.2Enhancement of excitonic spontaneous emission
5.4.3Planar microcavities
5.4.4Clock signals
5.4.5Quantum memory and decoherence time
5.4.6T1 and T2 for electron spins
5.4.7T1 and T2 for nuclear spins
5.5Single瞤hoton emission and distribution of entangled quantum states
5.5.1Single瞤hoton interferometer with quantum phase modulators
5.5.2Generation of single瞤hoton pulses
5.6Single瞤hoton wavepackets and memory in atomic vapor
5.6.1Electronics and photonics integration
5.6.2Wavelength switched optical networks
5.6.3Silicon optical phased array
5.6.4Single瞤hoton wavepackets to atomic memory
5.6.5Solid state light瞞atter interface at photon
5.6.6Photon memory in atomic vapor
5.7Photon storage in atomic media
5.7.1Solid瞫tate memory at the single photon level
5.7.2A single瞤hoton transistor using nano瞫cale surface plasmons
5.7.3Photon correlations
5.7.4Multi瞤hoton dynamics
5.8Optical dense atomic memory medium
5.8.1Λ瞭ype optical dense atomic media
5.8.2Optimal retrieval
5.8.3Adiabatic retrieval and storage
5.8.4Shaping retrieval into an arbitrary mode
5.9Effects of metastable state nondegeneracy
5.9.1Optimal control using gradient ascent
5.9.2Free space model
5.9.3Adjoint equations of motion in the cavity model
5.10Control field optimization for adiabatic storage
5.11Analysis of photon number in quantum memory
5.11.1Quantum memory for light
5.11.2Methods
5.12Quantum solid memory
5.12.1Atomic memory
5.12.2Stable solid瞫tate source of single photons
5.12.3Stopped times of light storage
5.13Photon solid瞫tate quantum memories
5.13.1Memory operation and properties
5.13.2Analytical model of second瞣rder interference in coincidence
measurements
5.13.3Simplied model for HOM visibility
5.13.4Forbidden regions
5.13.5Cooperative effects for photons and electrons
5.13.6Nanoscale optical interactions
5.13.7Lateral nanoscopic localization
5.13.8Quantum confinement effects
5.13.9New cooperative transitions
5.13.10Nanoscale electronic energy transfer
5.13.11Quantum dots
References
前言
Information memory is an important means of human civilization transmission and a core link of modern information technology. Quantum photonic memory is an essential basic device in the era from classical information to quantum information. Quantum photonic memory should be able to store various quantum states including with any quantum state. Like classical computers,general瞤urpose quantum computers require quantum memory for complex computational functions. Depending on the specific computing chip,the memory must store the corresponding quantum information carrier. Usually classical memory measured in bits,and today餾 classical memory can reach the order of terabytes (240). So the Optical Memory National Engineering Research Centre (OMNERC) at Tsinghua University has been engaged in optical memory research since the early 1990s. Classical memory a memory unit stores only one bit,so the capacity of the memory is actually the number of classical memory units. Due to the characteristics of quantum coherence,one memory unit of quantum memory can store N qubits at one time. Recent studies have shown that quantum photonic memory can store up to 100 qubits and more than all the classical memory. Therefore,Quantum photonic memory is more important in quantum information than classical memory in classical information because quantum information cannot be copied and amplified. The single photon can be efficiently stored in long瞝ived spin states and the ability to resist ambient noise in actual system transportation can improve more. With the gradual advancement of the above research,quantum USB disk will be enter the practical link first. Quantum photonic memory is more important in quantum information than classical memory in classical information because quantum information cannot be copied and amplified. There are many research groups in the world including OMNERC at Tsinghua University engaged in quantum memory research at present that all the independent indexes of quantum photonic memory have good results. Application of quantum photonic memory has just become so widely used while the quantum processor evolves. The quantum processor designed mapping between the two systems. The quantum processor then yield information about the target quantum system. Difficult electronic structure problem of a target molecule can mappe onto the qubits of the quantum processor for solving optimization problems: The solution of an optimization problem can encode into the ground state of a Hamiltonian. This ground state can be using an iterative,quantum瞔lassical algorithm illustrated at bottom. The quantum processor is prepared. The energy of the state is measured and can be used the classical computer. A classical optimization algorithm then suggests a new quantum state. This quantum speedup is possible by being able to encode the component vector. Therefor quantum technologies become part of everyday lives in the coming decades. So quantum information science are rapidly developing,including ultraprecise quantum sensors that could propel fundamental science forward by leaps and bounds; powerful quantum computers to tackle insoluble problems in finance and logistics; and quantum communications to connect these machines as part of long瞕istance networks,quantum computers operate on the 1000瞦ubit scale. Anticipate millions of qubits are required to solve important problems that are out of reach of today餾 most powerful supercomputers. There is a global quantum race to develop quantum computers that can help in many important societal challenges from drug discovery to making fertilizer production more energy efficient and solving important problems in nearly every industry,ranging from aeronautics to the financial sector. That works so well and the potential to scale瞮p by connecting hundreds or even thousands of quantum computing microchips. Towards quantum computers that are robust to errors,suppressing quantum errors by scaling a surface code logical qubit could be the most advanced supercomputer. All experiments validate the unique architecture that the quantum photonic memory been developing—providing an exciting route towards truly large瞫cale quantum computing. We are still growing our research and teaching in this area,with plans for new teaching programs and appointments. Quantum photonic memory will be pivotal in helping to solve some of the most pressing global issues. And with teams spanning the quantum photonic memory and technology research,OMNERC has both a breadth and a depth of expertise in this. I have been engaged in the research of photonic memory and press published a monograph Photonic Memory in 2021,which is very popular with readers. As the world confronted with challenge by exploded increasing amounts of big data. Every day zillions of data generated through the events of the world. I collected and sorted out the new research results of OMRC and at home and abroad in this field in recent years and wrote this monograph,which named Advanced Quantum Photonic Memory Application.