A5091591096- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Neural Networks and Reservoir Computing
- Quantum Mechanics and Applications
- Spectroscopy and Quantum Chemical Studies
- Laser-Matter Interactions and Applications
- Advanced Thermodynamics and Statistical Mechanics
- Neural Networks and Applications
- Genomics and Chromatin Dynamics
- Spectroscopy Techniques in Biomedical and Chemical Research
- Advanced Bandit Algorithms Research
- Gynecological conditions and treatments
- Prenatal Screening and Diagnostics
- Advanced Image and Video Retrieval Techniques
- Advanced Control Systems Optimization
- Discourse Analysis in Language Studies
- T-cell and B-cell Immunology
- Bacterial Genetics and Biotechnology
- Environmental Sustainability in Business
- Language, Discourse, Communication Strategies
- Endometrial and Cervical Cancer Treatments
- Protein Degradation and Inhibitors
- Blind Source Separation Techniques
- Electrical and Bioimpedance Tomography
- Quantum many-body systems
University of Canberra
2020-2025
UNSW Sydney
2020-2025
Australian National University
2024-2025
The Fourth People's Hospital of Ningxia Hui Autonomous Region
2025
University of Indianapolis
2023
Indiana University – Purdue University Indianapolis
2023
Guangdong Ocean University
2023
Information Technology University
2023
Reproductive & Genetic Hospital CITIC-Xiangya
2021-2022
Yuhuangding Hospital
2022
Embryo selection with preimplantation genetic testing for aneuploidy (PGT-A) may improve pregnancy outcomes after initial embryo transfer. However, it remains uncertain whether PGT-A improves the cumulative live-birth rate as compared conventional in vitro fertilization (IVF).
Robust control design for quantum systems has been recognized as a key task in information technology, molecular chemistry, and atomic physics. In this paper, an improved differential evolution algorithm, referred to multiple-samples mixed-strategy DE (msMS_DE), is proposed search robust fields various problems. msMS_DE, multiple samples are used fitness evaluation mixed strategy employed the mutation operation. particular, msMS_DE algorithm applied problems of: 1) open inhomogeneous...
In this article, a novel training paradigm inspired by quantum computation is proposed for deep reinforcement learning (DRL) with experience replay. contrast to the traditional replay mechanism in DRL, DRL quantum-inspired (DRL-QER) adaptively chooses experiences from buffer according complexity and replayed times of each (also called transition), achieve balance between exploration exploitation. DRL-QER, transitions are first formulated representations then preparation operation...
As a ubiquitous aspect of modern information technology, data compression has wide range applications. Therefore, quantum autoencoder which can compress into low-dimensional space is fundamentally important to achieve automatic in the field information. Such be implemented through training parameters device using classical optimization algorithms. In this paper, we demonstrate condition achieving perfect and theoretically prove that losslessly high-dimensional (also called latent space) if...
Deep reinforcement learning (DRL) has been recognized as an efficient technique to design optimal strategies for different complex systems without prior knowledge of the control landscape. To achieve a fast and precise quantum systems, we propose novel DRL approach by constructing curriculum consisting set intermediate tasks defined fidelity thresholds, where among can be statically determined before process or dynamically generated during process. By transferring between two successive...
Due to its property of not requiring prior knowledge the environment, reinforcement learning (RL) has significant potential for solving quantum control problems. In this work, we investigate effectiveness continuous policies based on deep deterministic policy gradient. To achieve good systems with high fidelity, propose an auxiliary task-based RL (AT-DRL) control. particular, design task predict fidelity value, sharing partial parameters main network (from task). The learns synchronously...
To investigate the clinical value of miR-216a-5p and miR-34a in early screening for cervical cancer (CC). 99 patients were selected classified into a group, precancerous lesion chronic cervicitis with 33 each group. The levels morning urine samples three groups detected. Additionally, CC analyzed their tissues examined to confirm presence Human Papilloma Virus (HPV) infection. differences exhibiting varying features values two biomarkers identifying analyzed. Patients group divided...
Abstract Aim This study was designed to evaluate the effects of intrauterine transplantation menstrual blood stem cells (MenSCs) on endometrial thickness and pregnancy outcomes in patients with refractory adhesion (IUA). Methods included a group infertile women ( n = 12, age 22–40 years), IUA. Autologous MenSCs isolated from women's were expanded vitro transplanted into their uteruses, followed by hormone replacement therapy. Transvaginal ultrasound examination performed assess thickness....
We investigate two classes of quantum control problems by using frequency-domain optimization algorithms in the context ultrafast laser systems. In first class, system model is known and a gradient-based algorithm applied to searching for an optimal field selectively robustly manipulate population transfer atomic Rubidium. The other class involves experimental with unknown model. case, we introduce differential evolution mixed strategy search fields demonstrate capability experiment...
Abstract STUDY QUESTION Does luteal phase estrogen valerate pretreatment improve oocyte yield and clinical outcomes in patients with low ovarian response during stimulation the antagonist protocol? SUMMARY ANSWER Pretreatment oral from Day 7 after ovulation to 2 of next menstrual cycle did not increase a compared no pretreatment. WHAT IS KNOWN ALREADY Previous studies showed that normal can obtain better protocol. For advanced age response, it remains unclear if protocol yields more oocytes...
Robust control of open quantum systems from one state to another is much more difficult than closed as a result system-environment interactions. In this paper, we adopt the sampling-based learning approach with motivation utilizing some artificial samples instead unknown uncertainties design an optimal field against parameter fluctuations. To enhance performance, introduce improved differential evolution (DE) algorithm equally-mixed strategies in training step for systems. Numerical results...
This paper summarizes several recent achievements in the area of learning control quantum systems and draw new directions for future research. Three algorithms including gradient method, differential evolution reinforcement are introduced control. Quantum state closed open is analyzed, where method employed, respectively. The approach deep gate introduced, a sampling-based illustrated robust gates.
Quantum state tomography is defined as a process of reconstructing the density matrix quantum and an important task for various emerging technologies. In this work, we propose general framework that employs deep neural networks to reconstruct states from set measurements with high efficiency. particular, apply it two cases, including few measurement copies incomplete measurement. Numerical results demonstrate proposed method exhibits significant potential achieve fidelity when resources are limited.
Ensemble control of open quantum systems from one state to another is much more difficult than closed due their interactions with the environment. In this paper, a sampling-based learning (SLC) method applied optimal design for inhomogeneous ensembles regarding state-to-state transition task. A differential evolution (DE) algorithm adopted training step SLC find generalized system constructed by sampling members ensembles. Numerical results, including two-level, three-level and four-level...
This paper resulted from 1775 pieces of literature the WoS database and 1923 CNKI database. The research framework, development process, internal relations, key hot topics green design were explored through tool CiteSpace metrology. Four main results presented: (1) Green began to grow explosively around 2015. revolved energy saving, material selection, other aspects, with a high rate cooperation, reference, large number publications, upsurge phenomena in each branch formation. (2) There is...
Quantum state tomography (QST) is the process of reconstructing a quantum system (mathematically described as density matrix) through series different measurements, which can be solved by learning parameterized function to translate experimentally measured statistics into physical matrices. However, specific structure measurements for characterizing has been neglected in previous work. In this paper, we explore similarity between highly structured sentences natural language and intrinsically...
Quantum detector tomography is a fundamental technique for calibrating quantum devices and thus lay foundations information processing tasks. In this work, we propose method that employs deep neural networks to reconstruct detectors from set of probe states with high efficiency. Numerical results demonstrate the proposed exhibits significant potential estimate phase-insensitive detectors.
Deep reinforcement learning has been recognized as an efficient technique to design optimal strategies for different complex systems without prior knowledge of the control landscape. To achieve a fast and precise quantum systems, we propose novel deep approach by constructing curriculum consisting set intermediate tasks defined fidelity threshold. Tasks among can be statically determined using empirical or adaptively generated with process. By transferring between two successive sequencing...
ABSTRACT The interplay between chromatin structure and phase-separating proteins is an emerging topic in cell biology with implications for understanding disease states. Here, we investigate the functional relationship bromodomain protein 4 (BRD4) architecture. By combining molecular dynamics simulations live-cell imaging, demonstrate that BRD4, when mutated at specific N-terminus sites, significantly impacts nucleosome nanodomain (NN) organization dynamics. Our findings reveal enhanced...