About
I am Ignacio Fernández Graña, a physicist working in quantum computing and machine learning.
I work as a Quantum Algorithm Developer at Pasqal ,
a full-stack neutral atoms quantum computing company.
I hold a MSc degree in Quantum Computing from TU
Delft University.
📍 Currently based in Rotterdam, The Netherlands.
My CV
You can find a pdf version of my CV here
(updated Dec
2023).
Projects
Here you can find an overview of the academic projects I have contributed to.
Efficient tensor
network contraction
During summer 2022, I interned in a quantum startup based in Amsterdam called Fermioniq.
My internship project revolved around studying efficient (approximate) contraction methods for
tensor networks. Tensor networks are a powerful mathematical tool
with applications in many fields. A particularly important application in quantum information is
to efficiently
approximate quantum states. However, to extract information from the network, one has to perform
the contraction of the network. Doing so in an
exact manner is computationally intractable as it involves summing an exponentially increasing
number of terms.
In this project, we studied inference algorithms for probabilistic graphical models and
translated them for the task of tensor network contractions.
Digital-analog
quantum simulation of
quantum chemistry
MSc thesis at the Quantum Matter and Artificial
Intelligence (QMAI) group at TU Delft.
During this project we studied digital and analog algorithms for quantum chemistry applications.
Approximating
ground states with
free-fermionic states
in a
quantum computer
Research project carried out as part of my Honours Programme in my MSc degree. I worked under the
supervision of Prof. Jordi Tura in the Applied
Quantum Algorithms (AQA) group (University of Leiden)
studying Variational Quantum Algorithms to approximate the ground state of fermionic systems. We
designed an adaptative VQE able that provides a Gaussian state approximation of a general
fermionic system.
We numerically benchmarked the VQE with two important fermionic systems: a system of
non-interacting fermions or free-fermions, and the Sachdev-Ye-Kitaev (SYK) model.
More details about this project can be found here .
Deep learning
for particle tracking
For my bachelor thesis, I studied deep learning techniques to analyze data from particle
accelerators.
Current particle accelerators generate very large amounts of data that need to be analyzed in
real time, requiring powerful data analysis
techniques that efficiently analyze the obtained data.
The goal of my thesis was to train and benchmark a Convolutional Neural Network
(CNN) to reduce the noise and identify particle tracks in images generated by particle collision
events in accelerators
such as PANDA experiment.
CNNs have been shown to perform particularly well in image processing tasks, and we show they
can successfully reduce the noise and identify
individual particles in Monte-Carlo generated events.
The full thesis can be consulted here here .
Other side projects
Epidemic simulation
using percolation theory
Simulation of the evolution of a pandemic via percolation theory.
QAOA for the Max-Cut problem
The Quantum Approximate Optimization Algorithm (QAOA) algorithm is a widely studied quantum
algorithm for solving combinatorial optimization problems.
QAOA is particularly interested as it can be implemented in NISQ (Noisy Intermediate-Scale
Quantum) devices, which is the kind of quantum processors that will be available in the next few
years.
QAOA algorithm is an example of a Variational Quantum Algorithm (VQA). VQAs rely on classical
computation to optimize the parametrized gates in the circuit.
Within this project, we implemented QAOA from scratch using the quantum computing framework
Qiskit, and applied it to solve small instances of the Max-Cut problem.
The repository with the code can be found
here .
Benchmark of distillation protocols
for quantum communication
Implemented and benchmarked different distillation protocols for quantum communication.
The repository with the code can be found here .
Simulation of
molecular dynamics
Implemented and benchmarked different distillation protocols for quantum communication.
The repository with the code can be found here .
Interests
Outside physics and computing, I play music, do sports and read.
I also enjoy travelling.
Contact
Best way to contact me is via my personal email inafergra@gmail.com
Reads
2024
- Intermitencias de la muerte (Death with Interruptions) - José Saramago
- Know my name: A memoir - Chanel Miller
- Sapiens: A Brief History of Humankind - Yuval Noah Harari
- Bad Blood: Secrets and Lies in a Silicon Valley Startup - John Carreyrou
- Estudio sobre la ceguera (Blindness) - José Saramago
- Babel: Around the World in Twenty Languages of Pain - Gaston Dorren
- The Power of Geography - Tim Urban
2023
- Crime and Punishment - Fyodor Dostoevsky
- Empire of Pain - Patrick Radden Keefe
- The Hundred-Year-Old Man Who Climbed Out the Window and Disappeared - Jonas Jonasson
- Dune - Frank Herbert
2022
- The Woman in the Dunes - Kobo Abe
- The Subtle Art of Not Giving a Fuck - Mark Manson
- Stoner - John Williams
- The Handmaid's tale - Margaret Atwood
- The kite runner - Khaled Hosseini
- Ficciones - Jorge Luis Borges
- Sputnik Sweetheart - Haruki Murakami
2021
- 1984 - George Orwell
- Animal Farm - George Orwell
- The Muse - Jessie Burton
- Say nothing - Patrick Radden Keefe
- Hitchhiker's guide to the galaxy - Douglas Adams
Countries I've visited
Europe
Africa
Americas
Asia
Oceania