
Session 1  Complex Systems Chaired by HangHyun Jo Talk 1 Yu  Topological edge states in twodimensional materials and layered heterostructures Recently, there has been active research development in twodimensional materials beyond graphene. Twodimensional networks containing transition metal elements exhibit fascinating physical properties with potential applications for fieldeffect transistors, spintronics, valleytronics, and thermoelectrics. Here we show that several twodimensional materials consisting of a metalorganic framework, transitionmetal chalcogenides, and halides have exciting features in their electronic band structure, which lead to novel magnetic interactions and topological characteristics like Chern insulators. From densityfunctionaltheory calculations, we demonstrate that these compounds become ferromagnetic insulators with a nontrivial Chern number. While transition metal atoms are responsible for the ferromagnetic ground state, the band topology depends on the hopping matrix elements through chalcogen atoms. The nontrivial band topology is confirmed to have a nonzero Chern number, quantized Hall conductivity, and chiral edge states by using the Wannier function analysis. We propose strong dpσhybridization as a new channel of magnetic interactions in transitionmetal chalcogenides materials. Further, we discuss possible manipulations of topological edge states in a (111)oriented perovskite oxide heterostructures by incorporating spinorbit coupling in a way that the neighboring perovskite oxide unit can be tuned by the size and character of the spinorbit gaps.  Talk 2 Song  Modeling of complex system with machine learning In this talk, I would like to introduce extended work initiated from my APCTP period in JRG 'Designing principles of cellular network' leading by prof. Junghyo Jo. The group had been contributed to modeling of diverse complex systems. As a postdoc of the group, I was working on modeling of pancreatic islets which maintaining glucose homeostasis. I would like to briefly introduce biophysical model of pancreatic islets, and current my research topic regarding the model promoted by machine learning.  Talk 3 Hiraoka  Burstiness in temporal networks NonPoissonian, socalled bursty temporal patterns are observed in a broad range of physical, biological, and social systems. In this talk, I will talk about two topics on how this burstiness is realized and what impact it has on the dynamical processes in complex networks. First, we look into the reconciliation of bursty dynamics of the activity of nodes and of interaction between nodes in communication networks. In order to explain this phenomenon, we introduce an activitybased temporal network model and show that it leads to heavytailed interevent time distributions for both node and link activities. Second, we discuss how the burstiness affects the spreading phenomena in networks. We focus on the correlation between consecutive interevent times and show that it leads to a slower spreading when the transmission involves more than one contact between nodes.  Talk 4 Jo  Bursty time series analysis Characterizing bursty temporal interaction patterns in complex systems is crucial to investigate the evolution and dynamics of such systems. The temporal interaction patterns have been described by a series of interaction events or event sequences, often showing nonPoissonian or bursty nature. Such bursty event sequences can be understood not only by heterogeneous interevent times (IETs) but also by correlations between IETs. The heterogeneities of IETs have been extensively studied in recent years, while the correlations between IETs are far from being fully explored. In this talk, I introduce various measures for bursty time series analysis, such as the IET distribution, the burstiness parameter, the memory coefficient, the bursty train sizes, and the autocorrelation function, to discuss the relation between those measures. Then I show that the correlations between IETs can affect the dynamical behavior in complex systems, e.g., the speed of spreading taking place in temporal networks. 
Session 2  Condensed Matter Physics Chaired by Alireza Akbari, Igor Di Marco, Yuji Hirono Talk 5 Foo
 System and control theories meet synthetic biology Synthesis of biomolecular circuits for controlling molecularscale processes is an important goal of synthetic biology with a wide range of in vitro and in vivo applications, including biomass maximisation, nanoscale drug delivery, and many others. One approach to facilitate the design of these biomolecular circuits is to employ tools from system and control theories. In this talk, we present how system and control theories are used in designing feedback control circuitries that can be implemented either using nucleic acid chemistry or transcriptiontranslation regulation. For the implementation using nucleic acid chemistry, we show how biomolecular mathematical functions are realised and the combination of them can be used to build feedback controller with good performance and robustness properties. For the implementation using transcriptiontranslation regulation, we exploit the prevalance of network motif within complex gene regulation network in designing genetic feedback controller with application to achieving more resilient plant against perturbation. Our results highlight the potential of combining system and control theories with experimental synthetic biology tools for engineering biological system with enhanced resilience to perturbation.  Talk 6 Brumboiu  Coreexcited states and Xray spectroscopy via CVSADC In this talk, I will discuss how the algebraic diagrammatic construction (ADC) scheme for the polarization propagator can be used to describe coreexcited states and Xray spectroscopy by making use of the corevalence separation (CVS) approximation. I will give examples related to Xray absorption (XAS) and resonant inelastic Xray scattering (RIXS) and describe further computational developments to allow us to investigate photoinduced processes, in particular, the photodegradation of active materials in organic photovoltaics.  Talk 7 Dasgupta  Exotic Pairing Phases in Ultracold Fermionic Systems The story of ultracold Fermi gases have taken interesting turns in the last two decades. These systems enjoy a marvelous tunability in terms of the atomatom interaction, because the scattering length can be changed over a wide range via Feshbach resonance. The most obvious pairing mechanism in a twospecies fermionic system is the BCS pairing, synonymous with superconductivity. In ultracold fermions, things get more exciting because there is a crossover from BCS pairing to Bose Einstein condensation(BEC) of fermion pairs as this interaction strength is varied. An interesting variation in this situation is the introduction of an imbalance in the population of the two species. Now BCS pairing is not possible anymore, because all fermions of type A do not have a fermion B partner to pair with. As a result, one gets exotic pairing states like magnetizedsuperfluid state, breached pair phase, phase separation and FFLO state. Most of these phases are theoretical suggestions, and it is often very difficult to detect them experimentally. In this talk, I will briefly talk about these novel phases. I shall discuss their origin, stability properties, and also possible detection schemes.
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Session 3  Quantum Information Chaired by Jaeyoon Cho
Talk 11 Bayat  Measurement quench in manybody systems Measurement is one of the key concepts which discriminates classical and quantum physics. Unlike classical systems, a measurement on a quantum system typically alters it drastically as a result of wave function collapse. Here we suggest that this feature can be exploited for inducing quench dynamics in a manybody system while leaving its Hamiltonian unchanged. Importantly, by doing away with dedicated macroscopic devices for inducing a quench—using instead the indispensable measurement apparatus only—the protocol is expected to be easier to implement and more resilient against decoherence. By way of various case studies, we show that our scheme also has decisive advantages beyond reducing decoherence—for spectroscopy purposes and probing nonequilibrium scaling of critical and quantum impurity manybody systems.  Talk 12 Mishra  Dynamics of manybody systems across the equilibrium quantum phase transitions In this talk, I will address the nonequilibrium evolution of closed manybody quantum systems across the equilibrium quantum phase transition. We pay attention to the cases where the evolved state shows characteristic different behavior depending upon whether the equilibrium quantum phase transition is crossed or not. We focus on the evolution of entanglement in the XYZ spin chain and the revival of dynamical fidelity (Loschmidt echo) in longrange Kitaev wire and find that their survival is connected to the crossing of the equilibrium critical point. Finally, we consider the Ising model under periodic driving and explore that such system can be used for quantum metrology if the driving starts from the state close to the critical point. As the systems under consideration can be simulated in current experimental setups of ion traps and optical lattices, the present results are very much experimentally relevant.  Talk 13 Park  Natural gradient descent for machine learning ground states The natural gradient descent is a secondorder optimization method introduced for machine learning (ML) purposes. This method utilizes local information geometry measured by the Fisher information matrix to deform the loss landscape. Thus it enables one to obtain better optimizing direction beyond the vanilla gradient descent. Even though several studies reported that the natural gradient descent works much better than firstorder optimization methods, it is not commonly used for modern deep networks as it requires the inverse of a large matrix, i.e., inefficient in computation cost. In this talk, we revisit the natural gradient descent for machine learning inspired variational quantum MonteCarlo (VQMC). Unlike classical machine learning applications, the secondorder method is the standard in VQMC as the usual firstorder optimization methods do not work well. We introduce a possible reason why modern firstorder optimization methods such as RMSProp and Adam do not work. Our argument is based on the viewpoint that modern firstorder optimization methods employ the diagonal approximation of the Fisher information matrix. By comparing the property of the Fisher information matrix obtained from VQMC to that from realworld data (such as MNIST and CIFAR), we suggest that diagonal approximation only works in a particular case. We also discuss more conservative approximation methods proposed in ML context that can speed up VQMC without harming the accuracy.  Talk 14 Mei  Matrix Product Solution of the Stationary State of TwoSpecies Open Zero Range Processes Using the matrix product ansatz, we obtain solutions of the steadystate distribution of the twospecies open onedimensional zero range process. Our solution is based on a conventionally employed constraint on the hop rates, which eventually allows us to simplify the constituent matrices of the ansatz. It is shown that the matrix at each site is given by the tensor product of two sets of matrices and the steadystate distribution assumes an inhomogeneous factorized form. Our method can be generalized to the cases of more than two species of particles. 
Session 4  Cosmology/Particles/Field Theory Chaired by Eoin O Colgain, Hiroshi Okada, Yuji Hirono
Talk 15 Park  Data Science for the LHC physics  Talk 16 Kuroyanagi  Gravitational waves: A new window to observe the Universe  Talk 17 Terada  Primordial Black Holes: Implications for Dark Matter and Gravitational Waves In this review talk, I will introduce primordial black holes (PBHs) and discuss its phenomenology and implications: (1) PBHs can be a whole or a part of dark matter; (2) they may explain excesses of gravitational lensing events; (3) they may be responsible for the binary black hole abundance which led to the detection of gravitational waves from binary mergers, and (4) they may be seeds of super massive black holes observed at high redshift. It is worth mentioning that PBHs and some other dark matter candidates cannot coexist. I also emphasize that stochastic gravitational waves are necessarily produced in PBH scenarios due to enhanced primordial curvature perturbations. In this way, PBHs have wide and rich connections with dark matter and gravitational wave physics.  Talk 18 Wong  An Independent Measurement of H0 from Lensed Quasars Strong gravitational lens systems with time delays between the multiple images are a powerful probe of cosmology, particularly of the Hubble constant (H0) that is key to probing dark energy, neutrino physics, and the spatial curvature of the Universe, as well as discovering new physics. The latest results from a total of six lenses constrains H0 to be 73.3(1.8,+1.7) km/s/Mpc for a flat Lambda CDM cosmology, which is a measurement to 2.4% precision. These results are consistent with independent determinations of H0 using type Ia supernovae calibrated by the distance ladder method, and are in 3.1sigma tension with the results of Planck CMB measurements. Combined with the latest distance ladder results from the SH0ES project, we find a 5.3sigma tension between Planck and lateUniverse probes, hinting at possible new physics beyond the standard LCDM model and highlighting the importance of this independent probe.  Talk 19 Hossain  Scalar field cosmology after Swampland Swampland conjectures rule out the possibility of having de Sitter solution in string theory. This has severe impact on cosmology as this rules out the cosmological constant, the most favoured dark energy candidate. Now, observations tell us that from the recent past universe is expanding with acceleration which demands a de Sitter or quasi de Sitter solution. So observations and the swampland conjectures contradicting each other. In this talk, I will talk about the possibilities where we can evade this contradiction.  Talk 20 Yeom  Annihilation to nothing: quantum gravitational wave function for inside a black hole
The interior of a static Schwarzschild metric can be written in terms of two functions similar to some models of anisotropic cosmology. With a suitable choice of canonical variables, we solve the WheelerDeWitt equation (WDW) inside the horizon of a Schwarzschild black hole. By imposing classicality near the horizon, and requiring boundedness of the wave function, we get a rather generic solution of the WDW equation, whose steepestdescent coincides well with the classical trajectory. However, there is an ambiguity in defining the arrow of time which leads to two possible interpretations – (i) If there is only one arrow of time, one can infer that the steepestdescent of the wave function follows the classical trajectory throughout, coming from the event horizon and going all the way down to the singularity, while (ii) if there were two arrows of time, it can be inferred that the steepestdescent of one of the wave functions comes inwards from the event horizon, and the other moves outwards from the singularity, and there exists an annihilation process of these two wave functions inside the horizon. Adopting the second interpretation could also shed some light on the information loss paradox: as time goes on, probabilities for histories that include black holes and singularities decay to zero and eventually only trivial geometries will dominate. 
