量子群 的英文怎麼說
中文拼音 [liángziqún]
量子群
英文
quantum group-
To solve the capacitated dynamic lot - sizing problem in group technology cell, a method based on binary particle swarm optimization ( pso ) algorithm and immune memory mechanism was proposed and its implementation was illustrated in detail
摘要為求解基於成組單元有能力約束的生產批量計劃問題,提出了一種基於二進制粒子群演算法和免疫記憶機制相結合的方法,並闡明了該方法的具體實現過程。Unlike bosons, fermions are misanthropes ; the pauli exclusion principle prohibits them from existing in the same quantum state
費米子與玻色子不同,它們喜歡離群索居,包立不相容原理禁止它們處于同一個量子狀態。The influence of the cloud droplet spectrum character and the spectrum growth and change is considered, which does not use a cut - off value for conversion from cloud water into rain water process. in the continuous coalescence equation, the particles fall velocity difference is not moved out from the integral, but is integrated in the equation as the function of diameter d to avoid the error of using particles average fall velocity. in the new scheme, generation rate of graupel due to the collection of snow by graupel and the collection of cloud ice by graupel are included
雲中凝結核ccn的數濃度採用超幾何函數表示;雲水向雨水的自動轉換過程採用grabowski ( 1999 )的公式,考慮了雲滴譜的特徵和發展變化對該過程的影響,而不是採用原方案給定閾值的方法描述該過程;對連續碰並方程不再將粒子落速差作為常量提出積分號外,而是直接作為粒子直徑函數在積分號內求解,這樣處理可以迴避使用粒子群的平均落速帶來的誤差;增加了霰和雪、霰和冰晶的碰並微物理過程。Group theory and its application to quantum
群論及其在量子化學中的應用Inspired by the idea of hybrid optimization algorithms, this paper proposes two hybrid quantum evolutionary algorithms ( qea ) based on combining qea with particle swarm optimization ( pso )
摘要將量子進化演算法( qea )和粒子群演算法( pso )互相結合,提出了兩種混合量子進化演算法。It is just the difficulty that the strongly correlated electron systems can not be studied by analytical methods, a variety of simulative numerical methods come out sequentially. there are a few typical methods such as the exact diagonalization ( ed ), the qutum monte carlo ( qmc ), the variation monte carlo ( qmc ), the renormalization group ( rg ), and the density matrix renormalization group ( dmrg ) and so on
正是強關聯系統遇到了解析研究的困難,各種數值模擬方法才相繼出現,最典型的數值方法有:嚴格對角化( ed ) ,量子蒙特卡洛( qmc )模擬、變分蒙特卡洛模擬( vmc ) 、數值重整化群( rg )以及密度矩陣重整化群( dmrg )等。It has been offering secure network service to 600 local scientific researchers and some other internet users. the network parallel computation cluster inside the system has been applied to carry on magnanimity supercomputing of quantum chemistry by researchers in the state key laboratory of structure chemistry. it is highly appraised by experts and users
系統實現后已經提供了安全網路服務給600名本地科研用戶以及一些所外網際網路用戶;同時該系統中所包含的網路并行計算機群正在為中國科學院福建物質結構研究所結構化學國家重點實驗室的科研用戶提供量子化學海量超級計算服務。A study of loess collapsibility by combining least squares support vector machines with particle swarm optimization algorithm
組合最小二乘支持向量機與粒子群優化演算法研究黃土濕陷性The procedure is as follows : after the modeling of the electron quantum bit system and the control field, applying the lie - algebra, the control output is calculated by analogy with the classical optimal control method to achieve the target
建立了該量子比特系統及其控制場的模型,藉助李群李代數,由經典最優控制的思想來獲得最優控制,從而實現了電子自旋量子系統任意量子態的最優制備。Program : to present new research results in the representation theory of finite and infinite dimensional algebras, lie algebras, algebraic groups, quantum groups, superalgebras, vertex operator algebras, and related applications to other fields of mathematics and physics
會議內容:這次會議將交流我國及世界其它國家在以下領域中的最新研究成果:有限維及無限維結合代數的表示理論;李群,李代數,代數群,有限群,以及量子群的表示理論;頂點運算元代數及其表示理論;與以上表示理論有關的數學物理及量子場論Here are some references for nrqcd & nrqed : renormalization group scaling in nonrelativistic qcd on the multipole expansion, the qcd heavy quark potential to order v * * 2 : one loop matching conditions on matching calculations
11下面是非相對論性量子色動力學和非相對論性量子電動力學的一些參考資料:關于多極展開的非相對論性量子色動力學中的重整化群定標,關于匹配計算的v * * 2階的量子色動力學重夸克勢:單圈匹配條件。We first design the construction modules of serially concatenated quantum convolutional code. and then design the corresponding code - coding gate - array. in quantum error avoiding code, we first unified the definitions of decoherence - free subspace, and then proved that all these definitions are equivalent
在量子避錯碼方面,統一了各種無消相干子空間的定義,證明了各種定義之間的等價性,同時提出一種利用群論方法構造無消相干子空間的簡單方案。Two - dimensional representations of positive part of quantum group
量子群正部分的二維表示Order numbers for vehicles to freight were got by particle position vector, single vehicle route was got by aco, and then evaluated and filtered particales according to optimal vehicle routes, circulated until terminate qualification
由粒子群演算法的粒子位置向量得到每輛車所需運送的訂單號,用蟻群演算法優化單車路徑,根據優化的總路徑評價和篩選粒子,直到滿足終止條件。The characteristics of quantum computing and the mechanism of immune evolution are analyzed and discussed. inspired by the mechanism in which immune cell can gradually accomplish affinity maturation during the self - evolution process, a immune evolutionary algorithm based on quantum computing ( mqea ) is proposed. the algorithm can find out optimal solution by the mechanism in which antibody can be clone selected, memory cells can be produced, similar antibodies can be suppressed and immune cell can be expressed as quantum bit ( q - bit ). it not only can maintain quite nicely the population diversity than the classical evolutionary algorithm, but also can help to accelerate the convergence speed and converge to the global optimal solution rapidly. the convergence of the mqea is proved and its superiority is shown by some simulation experiments in this paper
分析和探討了量子計算的特點及免疫進化機制,並結合免疫系統的動力學模型和免疫細胞在自我進化中的親和度成熟機理,提出了一種基於量子計算的免疫進化演算法.該演算法使用量子比特表達染色體,通過免疫克隆、記憶細胞產生和抗體相似性抑制等進化機制可最終找出最優解,它比傳統的量子進化演算法具有更好的種群多樣性、更快的收斂速度和全局尋優能力.在此不僅從理論上證明了該演算法的收斂,而且通過模擬實驗表明了該演算法的優越性Abstract : the characteristics of quantum computing and the mechanism of immune evolution are analyzed and discussed. inspired by the mechanism in which immune cell can gradually accomplish affinity maturation during the self - evolution process, a immune evolutionary algorithm based on quantum computing ( mqea ) is proposed. the algorithm can find out optimal solution by the mechanism in which antibody can be clone selected, memory cells can be produced, similar antibodies can be suppressed and immune cell can be expressed as quantum bit ( q - bit ). it not only can maintain quite nicely the population diversity than the classical evolutionary algorithm, but also can help to accelerate the convergence speed and converge to the global optimal solution rapidly. the convergence of the mqea is proved and its superiority is shown by some simulation experiments in this paper
文摘:分析和探討了量子計算的特點及免疫進化機制,並結合免疫系統的動力學模型和免疫細胞在自我進化中的親和度成熟機理,提出了一種基於量子計算的免疫進化演算法.該演算法使用量子比特表達染色體,通過免疫克隆、記憶細胞產生和抗體相似性抑制等進化機制可最終找出最優解,它比傳統的量子進化演算法具有更好的種群多樣性、更快的收斂速度和全局尋優能力.在此不僅從理論上證明了該演算法的收斂,而且通過模擬實驗表明了該演算法的優越性At the end of this chapter we study the relation of iterated skew polynomial rings and quantum group and got corollary 3. 8, 3. 9
4 ,最後考慮了迭代的斜laurent多項式環和量子群的關系,得到推論3 8和3 9 。Rtt relation generaliazes a lot of commrtation and it is a theoretic frame which limits complete integrable system. giving ( ? ) ( u ) as ybe ' s solrtion, theories about quantum groups which include yan - gian and quantum algebras can be derived from rtt relation
Rtt關系是一個概括了許多已知對易關系的,具有更廣泛的形式的對易關系,它是一種限制完全可積系統的理論框架。當楊一巴克斯特方程的解r ( u )給定時,由rtt關系即可建立量子群理論,它包括yangian和量子代數。Since c. n. yang [ 1 ] and r. j. baxter separately established quantum yang - baxter equation in 1960s, the investigations on quantum integrable models have been greatly promoted. especially the theory of yangian and quantum algebra theory that were established by v. g. drinfeld offered a powerful mathematic method for the reach about the symmetry of quantum integrable models in physics
自從楊振寧和r . j . baxter分別於1967年與1972年創建了量子楊-巴克斯特方程以來,量子可積模型方面的研究取得了很大進展,特別是v . g . drinfeld所建立的yangian和量子群理論對物理中的量子完全可積模型的對稱性研究提供了強有力的數學工具。C. n. yang [ 1 ] and r. j. baxter [ 2 ] separately established quantum yang - baxter equation ( for short, qybe ) in 1960s. since then the investigations on quantum integrable models have been greatly promoted. worthy of mention especially is that the yangian and quantum algebra was established by v. g. drinfeld [ 7 - 9 ] in 1985 that offer a cogent mathematic method for the studies about the symmetry of quantum integrable models in physics
十九世紀六、七十年代以來,楊振寧和r . j . baxter分別創建了量子楊-巴克斯特方程(簡稱qybe ) ,極大的推動了有關量子可積模型方面的研究,特別是v . g . drinfeld所建立的yangian和量子群理論對物理中的量子完全可積模型的對稱性研究提供了強有力的數學工具。分享友人