Quantum walk search algorithm for multi-objective searching with iteration auto-controlling on hypercube

Shenvi et al.have proposed a quantum algorithm based on quantum walking called Shenvi-Kempe-Whaley(SKW)algorithm,but this search algorithm can only search one target state and use a specific search target state vector.Therefore,when there are more than two target nodes in the search space,the algorithm has certain limitations.Even though a multiobjective SKW search algorithm was proposed later,when the number of target nodes is more than two,the SKW search algorithm cannot be mapped to the same quotient graph.In addition,the calculation of the optimal target state depends on the number of target states m.In previous studies,quantum computing and testing algorithms were used to solve this problem.But these solutions require more Oracle calls and cannot get a high accuracy rate.Therefore,to solve the above problems,we improve the multi-target quantum walk search algorithm,and construct a controllable quantum walk search algorithm under the condition of unknown number of target states.By dividing the Hilbert space into multiple subspaces,the accuracy of the search algorithm is improved from p_(c)=(1/2)-O(1/n)to p_(c)=1-O(1/n).And by adding detection gate phase,the algorithm can stop when the amplitude of the target state becomes the maximum for the first time,and the algorithm can always maintain the optimal number of iterations,so as to reduce the number of unnecessary iterations in the algorithm process and make the number of iterations reach t_(f)=(π/2)(?).

Discovery of a potential bladder cancer inhibitor CHNQD-01281 by regulating EGFR and promoting infiltration of cytotoxic T cells

As one of the common malignancies that threaten human life,bladder cancer occurs frequently with a high mortality rate in the world,due to its invasion,recurrence and drug resistance.Natural products from marine microorganisms are becoming the hotspots in discovery of new candidate drug entities,especially in the area of cancer.Brefeldin A(BFA)is a natural Arf-GEFs inhibitor,but due to the low aqueous solubility,strong toxicity,and poor bioavailability,it is urgent to conduct structural optimization research.Herein,a new BFA pyridine acrylate derivative CHNQD-01281 with improved solubility was prepared and found to exert moderate to strong antiproliferative activity on a variety of human cancer cell lines.It was noteworthy that CHNQD-01281 was most sensitive to two bladder cancer cell lines T24 and J82(IC50=0.079 and 0.081μmol/L)with high selectivity index(SI=14.68 and 14.32),suggesting a superior safety to BFA.In vivo studies revealed that CHNQD-01281 remarkably suppressed tumor growth in a T24 nude mice xenograft model(TGI=52.63%)and prolonged the survival time(ILS=68.16%)in an MB49 allogeneic mouse model via inducing infiltration of cytotoxic T cells.Further mechanism exploration indicated that CHNQD-01281 regulated both EGFR/PI3K/AKT and EGFR/ERK pathways and mediated the chemotactic effect of chemokines on immune effector cells.Overall,CHNQD-01281 may serve as a potential therapeutic agent for bladder cancer through multiple mechanisms.