En el marco del 7mo encuentro CUANTOS, organicé una mesa redonda para discutir las potenciales colaboraciones público-privadas en tecnologías cuánticas en Argentina. Invité a Julio Cella de IBM, a Alejandro Fernandez de la Red Iberoamericana de Ingenieria de Software Cuántico y a Nicolás Rendtoff de la Secretaría de Ciencia y Técnica de UNLP

Talk at an emerging engineering department, a beautiful place by the rio de la Plata!

This meeting was about the use of classical ML/AI techniques to advance the development of quantum technologies in a broad sense. Some examples would be analyzing quantum measurements, estimating the parameters of quantum devices, discovering new quantum experimental setups, protocols, and feedback strategies, and generally improving aspects of quantum computing, quantum communication, and quantum simulation.

This was the formal presentation of the Cátedra UAB-Cruilla, which is an initiative for the study of AI impact in the fields of ars. As the name suggest, this initiative is a public-private one, with the participation of the biggest stakeholder of musical industry in Barcelona (Festival Cruilla). In here, I gave a short talk about the possibilities that our QML-CVC group could offer to the transdisciplinary research, and also to logistics & optimization in the festival.

This tackled human-in-the-loop machine learning, human modeling, and generative models, and we discussed about generative models in interactive human-AI systems. I presented our QML-CVC group, and discussed opportunities for collaborative quantum machine learning. It was quite interesting.

This is an amazing initiative, check out Bhavyadhirr's youtube channel. It was my first podcast interview, so listen with love and patience.

Presentación del Dr. Matías Bilkis, líder del grupo de Quantum Machine Learning, del Computer Vision Center de Barcelona, en el marco de su visita al Centro de Investigación LIFIA, de la Facultad de Informática, de la Universidad Nacional de La Plata (Argentina), en diciembre 2024.

Una entrevista que nos hicieron con Fio sobre el rol y la importancia de la ciencia en el país y en el mundo. Estuvo lindo!

This was the formal presentation of the group I've created with Fernando Vilariño at the computer vision center. The event was very nice, a record number of attendants for CVC standards, and Artur Garcia from BSC and Qilimanjaro gave a talk as well. I presented my background and our plans for the group, and in the afternoon I also gave a hands-on QML tutorial.

This was an outreach talk in a library in Barcelona, where ~60 people (random citizens, not scientists) were present. Abstract: 'En aquesta xerrada intentarem contrarestar l'aclaparadora i nociva propaganda de l’anomenada supremacia quàntica. Primerament farem una posada en comú sobre què intenta descriure la física quàntica i exemplificarem certs fenòmens quàntics. Després, discutirem sobre una nova classe de tecnologies que aprofiten aquests fenòmens quàntics i posarem l'accent en quin és l'estat actual. Finalment, parlarem de la intel·ligència artificial quàntica, la qual, tot i tenir un nom cinematogràfic, és una àrea de recerca molt innovadora que planteja desafiaments tant per als investigadors com per a la societat. En aquest context, aquesta xerrada és una invitació a col·laborar juntament amb l'audiència per pensar en un concepte d'intel·ligència artificial que no només sigui quàntica, sinó també acceptable.'

An annual conference on quantum machine learning. I gave a talk presenting our approach for machine learning equations of motion in quantum sensing scenarios. The venue was super cool, at the core of CERN!

I defended my PhD thesis! The tribunal was composed by Roberta Zambrini, Zoe Holmes and Gael Sentís. I could not be more grateful with all of them for the amazing feedback I received, and the 4 hours of slow grill ^^

Real-time calibration of coherent-state detectors: learning by trial and error. We cast the discrimination of two coherent states of light as a reinforcement learning problem, in which an agent has to choose among a large number of configurations of a receiver composed of simple linear optics elements, on/off photodetectors and feedback, all within reach of current technology. The agent, though completely ignorant about the receiver, is asked to find its optimal configuration by repeating the experiment a finite number of times, based only on the information obtained from the photodetectors and on the correctness of its guess. Despite the fact that the quantum signals are not perfectly distinguishable and therefore an optimal configuration may lead to an incorrect guess (no reward), we construct agents that can both discover near-optimal configurations and achieve high real-time success rate, even in the presence of several noise-sources.

I was invited by Judah to talk about VAns.

I participated in this school which I consider one of the coolest scientific events I ever joined. Among the speakers there was Roberta Zambrini (who would later be a tribunal member of my PhD thesis!), Klaus Molmer and Sabrina Maniscalco. I presented a poster on parameter estimation in continously-monitored quantum systems.

I presented a poster showing my work on NISQ computing, and learned a lot about quantum neural states, machine-learning for many-body physics and made a lot of cool and smart friends :)

I organized a panel to discuss the different roads a doctor in physics can take. The panel was composed by Dr. Gael Sentís (from the academia), Dr. Arnau Riera (from high-school) and Dr. Alex Monrás (from industry), and moderated by me. Notably, by 2024 they all ended up somehow linked to industry.

A conference tackling (1) how can a quantum sensor optimally extract information about its environment? (2) how to achieve fully automatic calibration and operation in multi-qubit circuits, (3) how can ML improve performance of quantum algorithms for quantum chemistry? I presented VANs algorithm, linked to the three of them!

I gave a talk at this info theory workshop, explaining our work on how to calibrate an stochastic device out of trial and errors and do not wait an eternity until succes.

This is the outcome of a hackaton i won, organized by a satellite event of the Sonar festival. The goal was to approach music with AI tools, and my team developed an approach (based on my work on RL for quantum device calibration) for making music in a live coding platform. Crucially, we tackled autonomous innovation, and we created an AI orchesta capable of improvising. I even brought my guitar on scene, it was a very cool experience!

Este es un proyecto maravilloso, liderado por Diego Schwartz, donde se discute el ecotono: aquel espacio donde las fronteras entre ciencia y arte se vifuminan. En este encuentro en particular, se discutieron aproximaciones a la belleza. Tuve el honor de dar una charla, contando mi perspectiva de cómo es la investigación en física teórica, lo errático del que-hacer científico, y cómo podemos abordar y contar esto a través de agentes autónomos de IA que intentan hacer música.

We cast the discrimination of two coherent states of light as a reinforcement learning problem, in which an agent has to choose among a large number of configurations of a receiver composed of simple linear optics elements, on/off photodetectors and feedback, all within reach of current technology. The agent, though completely ignorant about the receiver, is asked to find its optimal configuration by repeating the experiment a finite number of times, based only on the information obtained from the photodetectors and on the correctness of its guess. Despite the fact that the quantum signals are not perfectly distinguishable and therefore an optimal configuration may lead to an incorrect guess (no reward), we construct agents that can both discover near-optimal configurations and achieve high real-time success rate, even in the presence of several noise-sources.

I was a fellow in one of the most selectives and important quantum computing summer school. In this talk I internally presented my results on ML quantum circuits to the other fellows. School speakers were: Tameem Albash (U New Mexico), Juan Miguel Arrazola (Xanadu), Robin Blume-Kohout (Sandia), Thomas Bromley (Xanadu), Elizabeth Crosson (U New Mexico), Bill Fefferman (U Chicago), Jay Gambetta (IBM), Sonika Johri (IonQ), Mikhail Lukin (Harvard), Eleanor Rieffel (NASA), Maria Schuld (Xanadu), Graeme Smith (U Colorado), Wim van Dam (UCSB / QCWare), Nathan Wiebe (U Toronto).

AQ-turn is a unique international quantum information workshop series. Our core mission is to foster an inclusive community and highlight outstanding research that may be under-appreciated in other high-impact venues due to systemic biases. As researchers who value the power of education and collaboration, we aim to facilitate a dialogue in the community over issues that affect us as a society, collectively making progress to resolve them. For this reason, Q-turn holds an awareness program in addition to the focused quantum science program. Q-turn's awareness program promotes diversity, equity, inclusion, intersectionality, responsible research, workers' rights, as well as physical and mental health in quantum science and technology. Q-turn's quantum science program highlights top-quality work on quantum information technology and foundations. Researchers in these fields and intersecting ones are welcome to submit their work.

Actividad de educación no formal, con la intención de (i) motivar la curiosidad por la experimentación y la ciencia en niños de 3-8 años, y (ii) discutir el rol de la responsabilidad a la hora de comunicar resultados científicos en pre-adolescentes (10-14) años.

Amazing event with super heroes researchers (among them Holevo!!). I presented a humble poster :)

Super nice workshop with the presence of Maria Schuld!

En esta tesis se ha examinado el problema de la caracterización de medidas locales en un sistema cuántico bipartito correlacionado, y cómo esta medida afecta al sistema remoto. Hemos visto que el estado remoto luego de la medida queda determinado por el tensor de correlación, y por supuesto por la medida local efectuada. Mientras que en el caso de estados puros el estado remoto luego de la medida es siempre puro -aunque dependiente de la medida- esto no es cierto en el caso de estados mixtos, donde el estado remoto permanece en general mixto, e incluso su grado de pureza depende de la medida efectuada. Cabe señalar que estas correlaciones no implican ninguna comunicación super-lumínica. La entropía condicional del estado remoto depende así de la medida efectuada, y su mínimo tiene significados e implicancias importantes. En primer lugar, la entropía condicional mínima determina la discordia cuántica, que es una medida de correlaciones cuánticas más allá del entrelazamiento para estados mixtos, y que coincide con la entropía de entrelazamiento en estados puros. En segundo lugar esta entropía condicional mínima determina el entrelazamiento de uno de los subsistemas con un tercer sistema que purifica el conjunto. La entropía condicional mínima puede utilizarse pues para la determinación del entrelazamiento.

We examine, in correlated mixed states of qudit-qubit systems, the set of all conditional qubit states that can be reached after local measurements at the qudit based on rank-1 projectors. While for a similar measurement at the qubit, the conditional post-measurement qudit states lie on the surface of an ellipsoid, for a measurement at the qudit we show that the set of post-measurement qubit states can form more complex solid regions. In particular, we show the emergence, for some classes of mixed states, of sets which are the convex hull of solid ellipsoids and which may lead to cone-like and triangle-like shapes in limit cases. We also analyze the associated measurement dependent conditional entropy, providing a full analytic determination of its minimum and of the minimizing local measurement at the qudit for the previous states. Separable rank-2 mixtures are also discussed.