Quantum gate control of polar molecules with machine learning.

We propose a scheme for achieving basic quantum gates using ultracold polar molecules in pendular states. The qubits are encoded in the YbF molecules trapped in an electric field with a certain gradient and coupled by the dipole-dipole interaction. The time-dependent control sequences consisting of multiple pulses are considered to interact with the pendular qubits. To achieve high-fidelity quantum gates, we map the control problem for the coupled molecular system into a Markov decision process and deal with it using the techniques of deep reinforcement learning (DRL). By training the agents over multiple episodes, the optimal control pulse sequences for the two-qubit gates of NOT, controlled NOT, and Hadamard are discovered with high fidelities. Moreover, the population dynamics of YbF molecules driven by the discovered gate sequences are analyzed in detail. Furthermore, by combining the optimal gate sequences, we successfully simulate the quantum circuit for entanglement. Our findings could offer new insights into efficiently controlling molecular systems for practical molecule-based quantum computing using DRL.

Near-infrared-responsive GE11-CuS@Gal nanoparticles as an intelligent drug release system for targeting therapy against oral squamous cell carcinoma.

Galangin (Gal) is a natural plant flavonoid. More and more evidence shows that Gal can achieve anti-tumor effects by regulating various mechanisms. However, its poor water solubility, low bioavailability, and insufficient lesion targeting limit its clinical application. To overcome these shortcomings, we designed and developed a mesoporous nanosystem (GE11-CuS) that actively located the target area and photo-controlled drug release, which promoted the rapid accumulation of drugs in tumor tissues under NIR irradiation, thus achieving positive effects against cancer. In this study, we explored the application of the Gal-loaded nanometer system (GE11-CuS@Gal) in the treatment of oral squamous cell carcinoma (OSCC) both in vitro and in vivo. The results exhibited that GE11-CuS@Gal had excellent targeting ability and could accumulate efficiently in tumor cells (HSC-3). Meanwhile, the temperature of GE11-CuS@Gal increasing rapidly under NIR illumination damaged the integrity of the carrier and allowed Gal molecules to escape from the pores of the nanoparticles. When the accumulation of Gal in the nidus reached a certain level, the intracellular ROS level could be significantly increased and the antioxidative stress pathway mediated by Nrf2/OH-1 was effectively blocked, to inhibit the growth and migration of tumors. In conclusion, the GE11-CuS improved the antitumor activity of Gal in the body, which laid a foundation for the treatment of OSCC with traditional Chinese medicine ingredients.

Case report: Interstitial lung disease of XELOEX chemotherapy with cetuximab in advanced colon cancer induced.

INTRODUCTION: This paper presents a case of a Chinese patient with advanced colon cancer who developed drug-induced interstitial lung disease while undergoing treatment with cetuximab combined with XELOX. PATIENT CONCERNS: A 75-year-old man with a history of colon cancer, had metastases in the liver, peritoneum, and lungs, which were initially treated with XELOX and cetuximab (0.4 g) in 2019. However, the lung metastases progressed, and the cetuximab dosage was adjusted to 0.9 g and then readjusted to 0.4 g. DIAGNOSIS: In January 2021, computed tomography revealed developed interstitial lung disease, leading to the discontinuation of chemotherapy and cetuximab. INTERVENTIONS: Receiving methylprednisolone pulse therapy. OUTCOMES: The patient experienced respiratory failure and passed away. The Naranjo Algorithm Assessment score indicated a probable relationship between cetuximab and the adverse event. CONCLUSION: This case highlights the need for regular pulmonary imaging examinations during cetuximab therapy, as drug-induced interstitial lung disease may be associated with the dose and duration of treatment.

Resonant and non-resonant optimizations by multi-constraint quantum control theory in molecular rotational states.

It is a promising research for optimization of quantum gate in the field of quantum computation. We investigate the feasibility of implementing the single-qubit gate (Hadamard) in molecular rotational system. By applying the Multi-constraint quantum optimal control method, the excepted final states can be achieved based on the molecular rotational states both in resonant and non-resonant cases with the control pulses. The permanent electric dipole moment is ignored in non-resonance. Besides, the zero-pulse area constraint and the constant fluence constraint are employed to optimize shapes of control pulses. Finally, we show that the Hadamard gate can be realized with the high fidelity (0.9999) and also examine the dependence of the fidelity on pulse fluence as well as the control pulse.

Optimization two-qubit quantum gate by two optical control methods in molecular pendular states.

Implementation of quantum gates are important for quantum computations in physical system made of polar molecules. We investigate the feasibility of implementing gates based on pendular states of the molecular system by two different quantum optical control methods. Firstly, the Multi-Target optimal control theory and the Multi-Constraint optimal control theory are described for optimizing control fields and accomplish the optimization of quantum gates. Numerical results show that the controlled NOT gate (CNOT) can be realized under the control of above methods with high fidelities (0.975 and 0.999) respectively. In addition, in order to examine the dependence of the fidelity on energy difference in the same molecular system, the SWAP gate in the molecular system is also optimized with high fidelity (0.999) by the Multi-Constraint optimal control theory with the zero-area and constant-fluence constraints.

Preparation, characterization, and antibacterial activity of tigecycline-loaded, ultrasound-activated microbubbles.

Central nervous system infectious disease caused by the multidrug-resistant Acinetobacter baumannii (AB) seriously threatens human life in clinic. Tigecycline has good sensitivity in killing AB, but due to its wide tissue distribution and blood-brain barrier, concentration in cerebrospinal fluid is low, therefore, the clinical effect is limited. Herein, we designed micro-bubbled tigecycline, aimed to enhance its anti-MDRAB effects under ultrasound. The lipid microbubbles with different ratios of lipids to drugs (a ratio of 10:1, 20:1, and 40:1) were prepared by the mechanical shaking method. The morphology, zeta potential and particle size of microbubbles were tested to screen out the much better formulation. Encapsulation efficiency and drug loading amount were determined by ultracentrifugation combined with high-performance liquid chromatography. Then the in vitro antibacterial activity against AB was conducted using the selected ultrasound-activated microbubble. Results showed the selected microbubbles with high encapsulation efficiency and good stability. The mechanical shaking method is feasible for preparation of drug-loaded and ultrasound-activated lipid microbubbles. Using 0.2 mg/mL microbubbles, combined with 1 MHz, 2.5 W/cm2 and 1 min of ultrasound exhibited a potent anit-AB in vitro. This study indicates that tigecycline treatment in form of ultrasound-activated microbubble is a promising strategy against AB infections.