Alberto Maldonado's repositories
qosf.org-old
Web portal of Quantum Open Source Foundation
Draper-adder
Using qiskti runtime to execute draper adder
mitiq
Mitiq is an open source toolkit for implementing error mitigation techniques on most current intermediate-scale quantum computers.
qiskit-terra
Terra provides the foundations for Qiskit. It allows the user to write quantum circuits easily, and takes care of the constraints of real hardware.
qml_unam
notebook
qiskit_sphinx_theme
A Sphinx theme and documentation guidelines for Qiskit and Qiskit Ecosystem projects
furo
A clean customizable documentation theme for Sphinx
qml
Introductions to key concepts in quantum machine learning, as well as tutorials and implementations from cutting-edge QML research.
monthly-challenges
Repository containing monthly challenges in the field of quantum computing.
Proyecto-Innovacion
Proyecto Innovacion Proyectos de Desarrollo Tecnológico o innovación para alumnos del IPN
openqaoa-1
Multi-backend SDK for quantum optimisation
tic-tac-toe-grover
Using grover's Algorithm to solve tic-tac-toe
Quantum-Supply-Chain-Manager
The quantum supply chain manager is a quantum solution for logistics problems. We use the power of quantum machine learning for product [backorder](https://www.investopedia.com/terms/b/backorder.asp) prediction and quantum optimization for finding the best route to pick those products with high demand to store them in strategic warehouses. With the first technique, our clients can be prepared for increasing the production of their products when they are in high demand. Once we have established a set of products needed during a period of time, we use our second solution, the vehicle routing problem (VRP) solution to find the optimal route for picking these products. This reduces considerably costs associated with logistics, transportation, backorders, and overstocking for our clients. In summary, these solutions will improve business in terms of client satisfaction, backorder and shipping transportation costs.
Hackathon2022
CDL Quantum Hackathon 2022
CohortProject_2022
Open collaboration of the Quantum Bootcamp 2022_week1
OracleOfAssets
The oracle of assets is a tool for investors that identifies a subgroup of assets that minimize the risk to lose money. Using neutral atoms, we can identify such a subgroup using an algorithm known as Maximum Independent Set (MIS). The subgroup of assets will not share a correlation between them, therefore if the price in the market of one of the assets decreases it won't affect the price of the others. Our algorithm will ensure that the subgroup will have the greater variety of assets possible for an investor to invest in.
unitaryhackdev
Website for the unitaryHACK hackathon series
amazon-braket-qc-hack-2022
The repo to fork to submit your open ended challenge project code.
amazon-braket-examples
Example notebooks that show how to apply quantum computing in Amazon Braket.
qiskit-tutorials
A collection of Jupyter notebooks showing how to use the Qiskit SDK
Quantum-Counselor-for-Portfolio-Investment
The Quantum Counselor for portfolio investment is a tool with two main objectives: forecasting the trend of assets price and optimizing portfolio returns both using quantum computing techniques. For the case of the forecasting method, we use a hybrid method that combines a deep learning model of classical LSTM layers with quantum layers. For the case of portfolio optimization, the quantum algorithms of QAOA and VQE are used to solve the problem and will be compared with CPLEX, a classical solver. Both tools are deeply connected because the forecasted price of the different assets is used for the cost function construction.
QHack
QHack—The one-of-a-kind quantum computing hackathon
maldoalberto.github.io
Welcome to this community-driven, open-source educational website for learning about all aspects of quantum computing across the full stack, from hardware to algorithms to everything in between and adjacent! Whether you are new to quantum science, filling in gaps in your foundation of knowledge, or supplementing a course you are taking, our goal is to help you learn based on your interests and background knowledge. We are always open to recommendations and contributions from the quantum computing community.
2022_microsoft_ionq_challenge
MIT iQuHACK 2022 x Microsoft x IonQ Challenge
ibm-quantum-challenge-fall-2021
For IBM Quantum Challenge Fall 2021