State-of-the-Art in Regional Computable General Equilibrium Modelling with a Case Study of the Philippines

The developments in regional Computable General Equilibrium (CGE) models have been reviewed with a view to identify future directions for modelling in the Philippines. It is observed that regional CGE models have been used extensively in the analysis of national and regional issues. These models can be divided into three classes: region-specific, bottomup and “partial†models. This paper asserts that existing models of the Philippines generally belong to the third class. This implies that there is very little scope for evaluating region-specific issues in the Philippines.Community/Rural/Urban Development, International Development,

Artificial Life in Quantum Technologies

We develop a quantum information protocol that models the biological behaviors of individuals living in a natural selection scenario. The artificially engineered evolution of the quantum living units shows the fundamental features of life in a common environment, such as self-replication, mutation, interaction of individuals, and death. We propose how to mimic these bio-inspired features in a quantum-mechanical formalism, which allows for an experimental implementation achievable with current quantum platforms. This result paves the way for the realization of artificial life and embodied evolution with quantum technologies

Logic Integer Programming Models for Signaling Networks

We propose a static and a dynamic approach to model biological signaling networks, and show how each can be used to answer relevant biological questions. For this we use the two different mathematical tools of Propositional Logic and Integer Programming. The power of discrete mathematics for handling qualitative as well as quantitative data has so far not been exploited in Molecular Biology, which is mostly driven by experimental research, relying on first-order or statistical models. The arising logic statements and integer programs are analyzed and can be solved with standard software. For a restricted class of problems the logic models reduce to a polynomial-time solvable satisfiability algorithm. Additionally, a more dynamic model enables enumeration of possible time resolutions in poly-logarithmic time. Computational experiments are included

Algorithmic quantum simulation of memory effects

We propose a method for the algorithmic quantum simulation of memory effects described by integrodifferential evolution equations. It consists in the systematic use of perturbation theory techniques and a Markovian quantum simulator. Our method aims to efficiently simulate both completely positive and nonpositive dynamics without the requirement of engineering non-Markovian environments. Finally, we find that small error bounds can be reached with polynomially scaling resources, evaluated as the time required for the simulation

Quantum Artificial Life in an IBM Quantum Computer

We present the first experimental realization of a quantum artificial life algorithm in a quantum computer. The quantum biomimetic protocol encodes tailored quantum behaviors belonging to living systems, namely, self-replication, mutation, interaction between individuals, and death, into the cloud quantum computer IBM ibmqx4. In this experiment, entanglement spreads throughout generations of individuals, where genuine quantum information features are inherited through genealogical networks. As a pioneering proof-of-principle, experimental data fits the ideal model with accuracy. Thereafter, these and other models of quantum artificial life, for which no classical device may predict its quantum supremacy evolution, can be further explored in novel generations of quantum computers. Quantum biomimetics, quantum machine learning, and quantum artificial intelligence will move forward hand in hand through more elaborate levels of quantum complexity

Impacts of the Free Trade Area of the Pacific (FTAAP) on Production, Consumption, and Trade of the Philippines

This paper examines the economy-wide impacts of a Free Trade Area of the Asia Pacific (FTAAP) on the Philippine economy. In particular, it uses an applied general equilibrium model to determine the effects of alternative scenarios on aggregate and sectoral outputs, consumption, and international trade. The paper also compares the FTAAP to reforms which are confined to the ASEAN plus 3 and to a broader set of tariff changes that covers all the trading partners of the Philippines. The findings of the paper are as follows. First, the FTAAP is likely to benefit the Philippines in the form of higher aggregate output and employment. However, such gains are not projected for all industries as the simulation results indicate declines in the outputs of activities related to rice and corn. Second, the benefits from the FTAAP are likely to come more from the removal of tariffs on nonagriculture products. Finally, the aggregate gains from the FTAAP are larger than an arrangement which is limited to ASEAN plus 3 countries. However, the differences in the impacts do not appear to be very large

Quantum autoencoders via quantum adders with genetic algorithms

The quantum autoencoder is a recent paradigm in the field of quantum machine learning, which may enable an enhanced use of resources in quantum technologies. To this end, quantum neural networks with less nodes in the inner than in the outer layers were considered. Here, we propose a useful connection between approximate quantum adders and quantum autoencoders. Specifically, this link allows us to employ optimized approximate quantum adders, obtained with genetic algorithms, for the implementation of quantum autoencoders for a variety of initial states. Furthermore, we can also directly optimize the quantum autoencoders via genetic algorithms. Our approach opens a different path for the design of quantum autoencoders in controllable quantum platforms