Optimal Fidelity Research Articles

Integration of artificial intelligence with a customized Four-Probe station for [formula omitted] characteristic classification and prediction

The incorporation of Artificial Intelligence (AI) is pivotal in automating intricate technical tasks, significantly enhancing accuracy and efficiency while alleviating the burdens of repetitive monitoring traditionally borne by technicians. This study focuses on developing a customized four-probe station integrated with sophisticated AI models aimed at classifying current–voltage (I-V) characteristics and extracting essential parameters. Our methodology encompasses the fabrication of precision-engineered gold-plated probes, meticulously assembled with a three-dimensional (3D) moving head to ensure optimal contact and measurement fidelity across a variety of electronic and optoelectronic devices. Data acquisition is executed via a source meter unit, followed by rigorous post-processing utilizing advanced algorithms, including convolutional neural networks and random forest techniques. Notably, the gold-plated contacts enhance measurement accuracy by providing superior conductivity and minimizing contact resistance, while the movable head allows for dynamic adjustment, facilitating precise probe alignment for consistent data retrieval. The results demonstrate a remarkable capability in classifying I-V characteristics with a root-mean-square (RMS) error of less than 1%, underscoring the system’s reliability and accuracy. Moreover, our predictive models effectively utilize previously recorded measurements to forecast the degradation profiles of devices, thus offering significant insights into device longevity and performance.

Dry etch performance of Novolak-based negative e-beam resist

Electron beam lithography (EBL) is pivotal for micro- and nanoscale fabrication, offering sub-micron precision. This study explores the utilization of the Novolac-based negative resist AR-N 7520 for EBL and its potential as an etch mask for reactive ion etching (RIE) of silicon. Recent comparisons of negative EBL resists have revealed promising results for AR-N 7520 in terms of resolution and adaptability with other lithography techniques. In this article, we conduct an exploration of patterning of AR-N 7520 (new) for EBL, addressing key parameters in achieving optimal patterning fidelity. Furthermore, we investigate its compatibility with RIE processes, aiming to provide insights into its effectiveness as an etch mask for creating sub-micron silicon structures. Experimental results show that optimal e-beam dose with 100 kV exposure is 300–350 μC/cm2. Selectivity of around 9:1 can be achieved by optimizing etching parameters for a continuous etch and higher than 14:1 for a cyclic etch process.

Implementation of a fluid balance control strategy in critically ill patients: POINCARE-2 trial process evaluation

BackgroundPOINCARE-2 trial aimed to assess the effectiveness of a strategy designed to tackle fluid overload through daily weighing and subsequent administration of treatments in critically ill patients. Even in highly standardized care settings, such as intensive care units, effectiveness of such a complex intervention depends on its actual efficacy but also on the extent of its implementation. Using a process evaluation, we aimed to provide understanding of the implementation, context, and mechanisms of change of POINCARE-2 strategy during the trial, to gain insight on its effectiveness and inform the decision regarding the dissemination of the intervention.MethodsWe conducted a mixed-method process evaluation following the Medical Research Council guideline. Both quantitative data derived from the trial, and qualitative data from semi-structured interviews with professionals were used to explain implementation, mechanisms of change of the POINCARE-2 strategy, as well as contextual factors potentially influencing implementation of the strategy.ResultsScore of actual exposure to the strategy ranged from 29.1 to 68.2% during the control period, and from 61.9 to 92.3% during the intervention period, suggesting both potential contamination and suboptimal fidelity to the strategy. Lack of appropriate weighing devices, lack of human resources dedicated to research, pre-trial rooted prescription habits, and anticipated knowledge of the strategy have been identified as the main barriers to optimal implementation of the strategy in the trial context.ConclusionsBoth contamination and suboptimal fidelity to POINCARE-2 strategy raised concerns about a potential bias towards the null of intention-to-treat (ITT) analyses. However, optimal fidelity seemed reachable. Consequently, a clinical strategy should not be rejected solely on the basis of the negativity of ITT analyses’ results. Our findings showed that, even in highly standardized care conditions, the implementation of clinical strategies may be hindered by numerous contextual factors, which demonstrates the critical importance of assessing the viability of an intervention, prior to any evaluation of its effectiveness.Trial registrationNumber NCT02765009

Loss of Conserved rRNA Modifications in the Peptidyl Transferase Center Leads to Diminished Protein Synthesis and Cell Growth in Budding Yeast.

Ribosomal RNAs (rRNAs) are extensively modified during the transcription and subsequent maturation. Three types of modifications, 2'-O-methylation of ribose moiety, pseudouridylation, and base modifications, are introduced either by a snoRNA-driven mechanism or by stand-alone enzymes. Modified nucleotides are clustered at the functionally important sites, including peptidyl transferase center (PTC). Therefore, it has been hypothesised that the modified nucleotides play an important role in ensuring the functionality of the ribosome. In this study, we demonstrate that seven 25S rRNA modifications, including four evolutionarily conserved modifications, in the proximity of PTC can be simultaneously depleted without loss of cell viability. Yeast mutants lacking three snoRNA genes (snR34, snR52, and snR65) and/or expressing enzymatically inactive variants of spb1(D52A/E679K) and nop2(C424A/C478A) were constructed. The results show that rRNA modifications in PTC contribute collectively to efficient translation in eukaryotic cells. The deficiency of seven modified nucleotides in 25S rRNA resulted in reduced cell growth, cold sensitivity, decreased translation levels, and hyperaccurate translation, as indicated by the reduced missense and nonsense suppression. The modification m5C2870 is crucial in the absence of the other six modified nucleotides. Thus, the pattern of rRNA-modified nucleotides around the PTC is essential for optimal ribosomal translational activity and translational fidelity.

Super-resolution radial fluctuations microscopy for optimal resolution and fidelity.

Fluorescence fluctuation super-resolution microscopy (FF-SRM) has emerged as a promising method for the fast, low-cost, and uncomplicated imaging of biological specimens beyond the diffraction limit. Among FF-SRM techniques, super-resolution radial fluctuation (SRRF) microscopy is a popular technique but is prone to artifacts, resulting in low fidelity, especially under conditions of high-density fluorophores. In this Letter, we developed a novel, to the best of our knowledge, combinatory computational super-resolution microscopy method, namely VeSRRF, that demonstrated superior performance in SRRF microscopy. VeSRRF combined intensity and gradient variance reweighted radial fluctuations (VRRF) and enhanced-SRRF (eSRRF) algorithms, leveraging the enhanced resolution achieved through intensity and gradient variance analysis in VRRF and the improved fidelity obtained from the radial gradient convergence transform in eSRRF. Our method was validated using microtubules in mammalian cells as a standard biological model system. Our results demonstrated that VeSRRF consistently achieved the highest resolution and exceptional fidelity compared to those obtained from other algorithms in both single-molecule localization microscopy (SMLM) and FF-SRM. Moreover, we developed the VeSRRF software package that is freely available on the open-source ImageJ/Fiji software platform to facilitate the use of VeSRRF in the broader community of biomedical researchers. VeSRRF is an exemplary method in which complementary microscopy techniques are integrated holistically, creating superior imaging performance and capabilities.

Deterministic entangling gates with nonlinear quantum photonic interferometers

The single-photon quantum computing paradigm currently relies on the multi-port interference in linear optical devices, which is intrinsically based on probabilistic measurements outcome, and thus non-deterministic. Devising a fully deterministic, universal, and practically achievable quantum computing platform based on single-photon encoding and integrated photonic circuits is still an open challenge. Here we propose to exploit the interplay of distributed self-Kerr nonlinearity and localized hopping in quantum photonic interferometers to implement deterministic entangling quantum gates with dual rail photonic qubits. It is shown that a universal set of single- and two-qubit gates can be designed by a suitable concatenation of few optical interferometric elements, reaching optimal fidelities arbitrarily close to 100% that are theoretically demonstrated through a bound constrained optimization algorithm. The actual realization would require the concatenation of a few tens of elementary operations, as well as on-chip optical nonlinearities that are compatible with some of the existing quantum photonic platforms, as it is finally discussed.

Suitability of Gelatin Methacrylate and Hydroxyapatite Hydrogels for 3D-Bioprinted Bone Tissue.

Complex bone defects are challenging to treat. Autografting is the gold standard for regenerating bone defects; however, its limitations include donor-site morbidity and increased surgical complexity. Advancements in 3D bioprinting (3DBP) offer a promising alternative for viable bone grafts. In this experiment, gels composed of varying levels of gelatin methacrylate (GelMA) and hydroxyapatite (HA) and gelatin concentrations are explored. The objective was to increase the hydroxyapatite content and find the upper limit before the printability was compromised and determine its effect on the mechanical properties and cell viability. Design of Experiments (DoE) was used to design 13 hydrogel bioinks of various GelMA/HA concentrations. These bioinks were assessed in terms of their pipettability and equilibrium modulus. An optimal bioink was designed using the DoE data to produce the greatest stiffness while still being pipettable. Three bioinks, one with the DoE-designed maximal stiffness, one with the experimentally defined maximal stiffness, and a literature-based control, were then printed using a 3D bioprinter and assessed for print fidelity. The resulting hydrogels were combined with human bone-marrow-derived mesenchymal stromal cells (hMSCs) and evaluated for cell viability. The DoE ANOVA analysis indicated that the augmented three-level factorial design model used was a good fit (p < 0.0001). Using the model, DoE correctly predicted that a composite hydrogel consisting of 12.3% GelMA, 15.7% HA, and 2% gelatin would produce the maximum equilibrium modulus while still being pipettable. The hydrogel with the most optimal print fidelity was 10% GelMA, 2% HA, and 5% gelatin. There were no significant differences in the cell viability within the hydrogels from day 2 to day 7 (p > 0.05). There was, however, a significantly lower cell viability in the gel composed of 12.3% GelMA, 15.7% HA, and 2% gelatin compared to the other gels with a lower HA concentration (p < 0.05), showing that a higher HA content or print pressure may be cytotoxic within hydrogels. Extrusion-based 3DBP offers significant advantages for bone-tissue implants due to its high customizability. This study demonstrates that it is possible to create printable bone-like grafts from GelMA and HA with an increased HA content, favorable mechanical properties (145 kPa), and a greater than 80% cell viability.

Photo-Polymerizable Autologous Growth-Factor Loaded Silk-Based Biomaterial-Inks toward 3D Printing-Based Regeneration of Meniscus Tears.

Meniscustears in the avascular region undergoing partial or full meniscectomy lead to knee osteoarthritis and concurrent lifestyle hindrances in the young and aged alike. Here they reported ingenious photo-polymerizable autologous growth factor loaded 3D printed scaffolds to potentially treat meniscal defects . A shear-thinning photo-crosslinkable silk fibroin methacrylate-gelatin methacrylate-polyethylene glycol dimethacrylate biomaterial-ink is formulated and loaded with freeze-dried growth factor rich plasma (GFRP) . The biomaterial-ink exhibits optimal rheological properties and shape fidelity for 3D printing. Initial evaluation revealed that the 3D printed scaffolds mimicmechanical characteristics of meniscus, possess favourable porosity and swelling characteristics, and demonstrate sustained GFRP release. GFRP laden 3D scaffolds are screened with human neo-natal stem cells in vitro and biomaterial-ink comprising of 25mg mL-1 of GFRP (GFRP25) is found to be amicable for meniscus tissue engineering. GFRP25 ink demonstratedrigorous rheological compliance, and printed constructs demonstrated long term degradability (>6 weeks), GFRP release (>5 weeks), and mechanical durability (3 weeks). GFRP25 scaffolds aided in proliferation of seeded human neo-natal stem cellsandtheir meniscus-specific fibrochondrogenic differentiation . GFRP25 constructs show amenable inflammatory response in vitro and in vivo. GFRP25 biomaterial-ink and printed GFRP25 scaffolds could be potential patient-specific treatment modalities for meniscal defects.

Optimal teleportation fidelity and its deviation in noisy scenarios

In this work, we study quantum teleportation, a fundamental protocol of quantum physics. In particular, we present a mathematical methodology to study the combined effects of noisy resource state and noisy classical communication on teleportation fidelity and its deviation. We describe a teleportation protocol where an arbitrary two-qubit state in canonical form is used as a resource. Thereafter, to teleport an unknown qubit, Alice measures her qubits in Bell basis and conveys the measurement outcome to Bob via noisy classical channel(s). We derive the exact formulae of optimal teleportation fidelity and corresponding fidelity deviation where the resource state and the classical communication, both can be noisy. To provide the proof of optimality, we provide a systematic method. We further find conditions for non-classical fidelity and dispersion-free teleportation for our teleportation protocol. In this way, we identify noisy environments where it is possible to achieve dispersion-free teleportation without compromising non-classical fidelity. We also demonstrate scenarios where the increase of entanglement in the resource state, may degrade the quality of teleportation — a counter-intuitive instance. Finally, we discuss about the minimum classical communication cost required to achieve non-classical fidelity for our protocol. Here we mainly focus on a possible way to optimize the classical communication cost.

Structural properties of optimal fidelity selection policies for human-in-the-loop queues

We study optimal fidelity selection for a human operator servicing a queue of homogeneous tasks. The agent can service a task with a normal or high fidelity level, where fidelity refers to the degree of exactness and precision while servicing the task. Therefore, high-fidelity servicing results in higher-quality service but leads to larger service times and increased operator tiredness. We treat the human cognitive state as a lumped parameter that captures psychological factors such as workload and fatigue. The operator’s service time distribution depends on her cognitive dynamics and the fidelity level selected for servicing the task. Her cognitive dynamics evolve as a Markov chain in which the cognitive state increases with high probability whenever she is busy and decreases while resting. The tasks arrive according to a Poisson process and the operator is penalized at a fixed rate for each task waiting in the queue. We address the trade-off between high-quality service of the task and consequent penalty due to a subsequent increase in queue length using a discrete-time Semi-Markov Decision Process framework. We numerically determine an optimal policy and the corresponding optimal value function. Finally, we establish the structural properties of an optimal fidelity policy and provide conditions under which the optimal policy is a threshold-based policy.

Using Performance Feedback With and Without Goal Setting on Teachers’ Classroom Management Skills

Although evidence-based practices for improving academic engagement for students with emotional and/or behavioral disorders (EBD) have been identified, many teachers do not implement these practices with optimal fidelity. Thus, effective strategies are needed to improve teacher fidelity. Performance feedback is an effective professional development strategy, but it is unclear whether ancillary strategies like goal setting might further improve fidelity. In this study, we evaluated the effects of email performance feedback with and without goal setting on teacher implementation of opportunities to respond and behavior-specific praise using a multiple probe design. Participants were four general and special educators at a U.S. alternative school for students with EBD. Results indicated that a combination of written performance feedback and goal setting was effective, and that performance feedback alone was also effective. We were unable to determine whether the goal-setting component strengthened the performance feedback. Teachers provided positive feedback about the utility and feasibility of performance feedback with goal setting.

Real quantum operations and state transformations

Resource theory of imaginarity provides a useful framework to understand the role of complex numbers, which are essential in the formulation of quantum mechanics, in a mathematically rigorous way. In the first part of this article, we study the properties of ‘real’ (quantum) operations both in single-party and bipartite settings. As a consequence, we provide necessary and sufficient conditions for state transformations under real operations and show the existence of ‘real entanglement’ monotones. In the second part of this article, we focus on the problem of single copy state transformation via real quantum operations. When starting from pure initial states, we completely solve this problem by finding an analytical expression for the optimal fidelity of transformation, for a given probability of transformation and vice versa. Moreover, for state transformations involving arbitrary initial states and pure final states, we provide a semidefinite program to compute the optimal achievable fidelity, for a given probability of transformation.

Electron beam lithography and dimensional metrology for fin and nanowire devices on Ge, SiGe and GeOI substrates

Until now there is no systematic study on the effect of the substrate type on the hydrogen silsesquioxane (HSQ) electron beam lithography (EBL) patterning process. We investigate arrays of line structures with varying width and spacing, starting at 10 nm, exposed at varying dose, and developed by salty NaOH and TMAH developers on group IV semiconductor substrates. We demonstrate that the HSQ EBL process on Ge is much more limited in achieving the smallest obtainable features, having optimal uniformity and fidelity, in comparison to Si. Monte-Carlo simulations of the e-beam/substrate interactions for “pure” Si and Ge substrates, and varying content Ge/Si epitaxial layers on Si, suggest that the limitations seen are directly linked to back-scattered electron (BSE) generation. As predicted by the simulations and shown experimentally, improved fidelity and resolution of the features can be achieved by minimizing the (BSE) generation coming from the Ge contribution in the substartes. Finally, from a metrology perspective, it is demonstrated that although line patterns may appear resolved in SEM images, the variation in the brightness across neighbouring lines is a key parameter in understanding the resist clearance between lines, that will affect the next etching step for pattern transfer onto the underlying substrate. These results are important for patterning high-density line structures and nano-device engineering as required for realising state-of-the art laterally stacked group IV multi-channel field effect transistors (FETs).

Direct ink writing of multifunctional nanocellulose and allyl-modified gelatin biomaterial inks for the fabrication of mechanically and functionally graded constructs

Recreating the intricate mechanical and functional gradients found in natural tissues through additive manufacturing poses significant challenges, including the need for precise control over time and space and the availability of versatile biomaterial inks. In this proof-of-concept study, we developed a new biomaterial ink for direct ink writing, allowing the creation of 3D structures with tailorable functional and mechanical gradients. Our ink formulation combined multifunctional cellulose nanofibrils (CNFs), allyl-functionalized gelatin (0.8–2.0 wt%), and polyethylene glycol dithiol (3.0–7.5 wt%). The CNF served as a rheology modifier, whereas a concentration of 1.8 w/v % in the inks was chosen for optimal printability and shape fidelity. In addition, CNFs were functionalized with azido groups, enabling the spatial distribution of functional moieties within a 3D structure. These functional groups were further modified using a spontaneous click chemistry reaction. Through additive manufacturing and a readily available static mixer, we successfully demonstrated the fabrication of mechanical gradients – ranging from 3 to 6 kPa in indentation strength – and functional gradients. Additionally, we introduced dual gradients by combining gradient printing with an anisotropic photocrosslinking step. The developed biomaterial ink opens up possibilities for printing intricate multigradient structures, resembling the complex hierarchical organization seen in living tissues.

Fidelity to the deep structure of literature: Yu Kwang-chung’s translation of Emily Dickinson

ABSTRACT Yu Kwang-chung embarked on a translational project, Anthology of American Poetry, around 1960. Edited by Stephen Soong, the anthology was published by World Today Press, Hong Kong, in 1961. This research commences with Yu’s plight in selecting what poems of Dickinson’s to translate, a plight associated with Poundian translatology. It follows with textual analyses of Yu’s translations of and introduction to Dickinson’s poetry. I aruge that Yu is far from being an absolutist inasmuch as translational fidelity is concerned. In contrast, what he pursues in poetry translation is an optimal fidelity, one that intends to bring about as profuse poetics as possible in the target language. The translator exerts optimal faithfulness to a variety of traditional literary elements, all of which amount to what I call “fidelity to the deep structure of literature.” It is with such a flexible fidelity that Yu transplants Dickinson’s metaphysical universe onto the Chinese soil.

Optimal compression of quantum many-body time evolution operators into brickwall circuits

Near term quantum computers suffer from a degree of decoherence which is prohibitive for high fidelity simulations with deep circuits. An economical use of circuit depth is therefore paramount. For digital quantum simulation of quantum many-body systems, real time evolution is typically achieved by a Trotter decomposition of the time evolution operator into circuits consisting only of two qubit gates. To match the geometry of the physical system and the CNOT connectivity of the quantum processor, additional SWAP gates are needed. We show that optimal fidelity, beyond what is achievable by simple Trotter decompositions for a fixed gate count, can be obtained by compiling the evolution operator into optimal brickwall circuits for the S=1/2S=1/2 quantum Heisenberg model on chains and ladders, when mapped to one dimensional quantum processors without the need of additional SWAP gates.

Abstract 1783: High-throughput arrayed screening of logic-gated CARs enables the selection of candidates for ccRCC with optimal potency and fidelity traits

Abstract The development of clinically effective CAR-T cell products for solid tumors will require substantial cell engineering to confer sufficient specificity, potency, and persistence. Advances in genome engineering and synthetic biology have provided an increasingly complex set of features that can be introduced into CAR-T cells to augment their function. However, combining multiple features may result in unpredictable negative interactions between components. Here, we report the use of high-throughput screening to optimize the design of a highly-engineered Integrated Circuit T Cell (ICT) product for the treatment of clear cell renal cell carcinoma (ccRCC). ICT cells are CAR-T cells that contain an AND logic gate requiring two antigens to be present to trigger tumor cell killing together with multiple enhancement modules. First, to create the logic gate we generated hundreds of novel scFv and VH/VHH binders targeting PSMA (as a priming target) and CA9 (as a cytolytic target) via two parallel de novo binder discovery efforts: 1) transgenic mice immunizations and 2) internally-developed phage display panning campaigns. Two independent arrayed screens with 500 PSMA prime receptors (PrimeRTM) and 750 CA9 CARs were conducted to find PrimeRs with high inducibility and CARs with strong on-target potency. From these screens, the top 25 PSMA PrimeRs and 20 CA9 CARs were combined with an shRNA cassette for targeted knockdowns along with two variations of a persistence module. We used a fully-automated workcell to perform end-to-end arrayed screening of the resulting 1,000 member library in T cells engineered from four human donors. Non-viral editing techniques were used to electroporate primary CD4/CD8 cells and robotic handlers were used to set up co-cultures. Circuit specificity and potency were assessed by flow and cytokine secretion and resistance to exhaustion was assessed in a seven day killing assay. Although the library was built from components that functioned well independently, we found that when combined, many of the circuits displayed suboptimal function. Integrated screening identified 20 variants that each far exceeded the performance of a small set of initial prototypes built from “best-guess” selections of individual components. The final candidates are significantly superior to constitutive CAR-T cells in a long term killing assay, show potent cytotoxicity of low expressing antigen lines, and display background levels of cytotoxicity against single antigen targets. Engineering multiple features into T cell products is limited by unpredictable negative interactions between components. We have overcome this limitation by using high-throughput screening which generated development-ready candidates for ccRCC with finely tuned desirability criteria in &amp;lt;18 months. Citation Format: Nishant Mehta, Jamie Thomas, Edward Yashin, Andrea Fua, Jonathan Li, Jonathan Chen, Laura Lim, Je Chua, Andrew Cardozo, Marian Sandoval, Duy P. Nguyen, Ziyan Hong, Jimmy Wu, Catherine Sue, Gustavo Guzman, Li Wang, Sofia K. Panagiotopoulou, Sophie Xu, Angela C. Boroughs, W. Nicholas Haining. High-throughput arrayed screening of logic-gated CARs enables the selection of candidates for ccRCC with optimal potency and fidelity traits [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 1783.

Dynamical Behavior of Two Interacting Double Quantum Dots in 2D Materials for Feasibility of Controlled-NOT Operation.

Two interacting double quantum dots (DQDs) can be suitable candidates for operation in the applications of quantum information processing and computation. In this work, DQDs are modeled by the heterostructure of two-dimensional (2D) MoS2 having 1T-phase embedded in 2H-phase with the aim to investigate the feasibility of controlled-NOT (CNOT) gate operation with the Coulomb interaction. The Hamiltonian of the system is constructed by two models, namely the 2D electronic potential model and the matrix model whose matrix elements are computed from the approximated two-level systems interaction. The dynamics of states are carried out by the Crank–Nicolson method in the potential model and by the fourth order Runge–Kutta method in the matrix model. Model parameters are analyzed to optimize the CNOT operation feasibility and fidelity, and investigate the behaviors of DQDs in different regimes. Results from both models are in excellent agreement, indicating that the constructed matrix model can be used to simulate dynamical behaviors of two interacting DQDs with lower computational resources. For CNOT operation, the two DQD systems with the Coulomb interaction are feasible, though optimization of engineering parameters is needed to achieve optimal fidelity.

Representing the true colors of Bai Xian-yong in the English language: “A Touch of Green” recounted

ABSTRACT Bai Xian-yong is one of the most important writers in contemporary Chinese and world literature. His masterpiece Taipei People, a collection of fourteen short stories, presents a gallery of Chinese mainland émigrés to Taiwan in 1949 in the wake of Chinese civil war. As a classic of Taiwanese modernism, Taipei People features an emotional sensitivity and a lingual novelty comparable to those of James Joyce’s Dubliners. Its English version was translated by the author and Patia Yasin, and edited by George Kao, the co-founder of Renditions. The paper attempts to compare and contrast the renowned short story, “A Touch of Green,” with its original Chinese, focusing on some sentences, phrases, proper nouns and the title itself, whose English renditions might not be considered tantamount to their original Chinese – a Chinese so crisply and creatively converging both classical beauty and colloquial flavor that only Bai Xian-yong the Chinese novelist knows how to craft. The research argues that if equivalent English rendition abiding by the principle of optimal fidelity exists as the promise land for the promotion of Taiwan literature across the world, future literary translators may need to adopt a multi-etymological strategy to represent the whole picture of Bai’s well-wrought works.

Process-optimized phase-covariant quantum cloning

After the appearance of the no-cloning theorem, approximate quantum cloning machines (QCMs) has become a well-studied subject in quantum information theory. Among several measures to quantify the performance of a QCM, single-qudit fidelity and global fidelity have been most widely used. In this paper we compute the optimal global fidelity for phase-covariant cloning machines via semidefinite programming optimization, thereby completing a remaining gap in the previous results on QCMs. We also consider optimal simulations of the cloning and transpose cloning map, both by a direct optimization and by a composition of component-wise optimal QCMs. For the cloning map the composition method is suboptimal whereas for the transpose cloning map the method is asymptotically optimal.