Jacques Carolan

Jacques Carolan

Neuroscience

Neurotechnology

Quantum Engineering

About

I am a BBSRC Discovery Fellow at the Neural Computation Lab at University College London, developing optical technologies for large-scale, high-speed interrogation of neural circuits. More broadly, my goal is to apply principles from physics and engineering to develop novel tools across a range of modalities (e.g. optical, electrical, acoustic, nanotechnology, integrated) that will not only fundamentally change our understanding of the brain, but ultimately be used to repair it.

Previously, I was developing photonic technologies to accelerate quantum and classical computing, initially as a Postdoctoral Fellow at the Massachusetts Institute of Technology Quantum Photonics Lab and then at the Niels Bohr Institute at the University of Copenhagen. I completed my PhD in 2015 at the University of Bristol Centre for Quantum Photonics.

​I have been awarded a Marie-Skłodowska Curie Global Fellowship, attended the 66th Lindau Nobel Laureates Meeting and was a UK finalist in FameLab.

Science

My research applies principles from physics, quantum optics and electrical engineering to develop new tools for neuroscience, quantum technologies and photonic computing.

All-Optical Interrogation of Neural Circuits

Understanding how patterns of electrical signals within the brain give rise to complex behavior, necessitates the ability to simultaneously record the activity of individual neurons and also manipulate the activity using optogenetic methods.

Programmable Photonics

Universal optical processors are photonic devices that can be reprogrammed to implement a variety of transformations, all on a single chip. Such programable photonics may enable breakthroughs in quantum computing, artificial intelligence, imaging and signals processing.

Quantum for AI & AI for Quantum

I’m fascinated by the intersection of machine learning and quantum mechanics; both in terms of how we can use quantum processors to accelerate machine learning and how we can leverage techniques from machine learning to help control and verify large-scale quantum systems.

Quantum Photonics

I develop large-scale quantum photonic processors in which information is encoded in quantum states of light and controlled on-chip via state-of-the-art photonic integrated circuits (PICs). In parallel, I’m developing a new suite of quantum protocols specifically designed for photonic hardware.

Shouting

I’m a passoinate communicator with experience in standup and improvised comedy; stage and screen science outreach; and writing. If you would like to collaborate on a project please reach out.

Comedy

I’m an improv comedian and standup comic, and have performed across New England and Old England.

Confessions of a Clumsy Scientist

Confessions of a Clumsy Scientist brings together totally true, anonymous stories of monumental mess-ups by real life scientists.

FameLab

I was a UK Finalist and Wales Winner in the international science communication competition FameLab.

Sir Antony Gormley

I interviewed Turner prize winning artist Sir Anthony Gormley for Bloombergs ‘Brilliant Ideas’.

South West Futurists

I gave a talk at the South West Futurists explaining how to build a quantum computer using light.

Tom Scott

I spent some time explaining the principles of quantum computing to YouTube science personality Tom Scott.

Philosophy

In a former life I studied Philosophy. Now, in collaboration with some great friends — Karim Thébault and Dominik Hangleiter — we’ve been giving a philosophical treatment to the emerging field of analogue quantum simulation. The arXiv paper can be found here, which we are turning into a book to be published by Springer in 2021. This project is the culmination of a chance meeting, unlimited enthusiasm and many, many Skype meetings. I’m deeply grateful to my collaborators for allowing an annoying experimentalist to join for the ride.

This book presents fresh insights into analogue quantum simulation. It argues that these simulations are a new instrument of science. They require a bespoke philosophical analysis, sensitive to both the similarities to and the differences with conventional scientific practices such as analogical argument, experimentation, and classical simulation. The analysis situates the various forms of analogue quantum simulation on the methodological map of modern science. In doing so, it clarifies the functions that analogue quantum simulation serves in scientific practice. To this end, the authors introduce a number of important terminological distinctions. They establish that analogue quantum ‘computation' and ‘emulation' are distinct scientific practices and lead to distinct forms of scientific understanding. The authors also demonstrate the normative value of the computation vs. emulation distinction at both an epistemic and a pragmatic level.

“This is a book that will fascinate the reader, while reinvigorating the study of models and simulations in philosophy of science, and creating a conceptual repertoire that will inform the study of quantum analog simulation as it comes of age in the next several decades.”

Eric Winsberg, Professor of Philosophy (University of South Florida), author of Science in the Age of Computer Simulation.

“This book is a prescient journey into some of the most fascinating and important questions for analogue quantum simulators.”

Anthony Laing, Associate Professor in Physics (University of Bristol)

“This is philosophy of science at its best.”

Stephan Hartmann, Professor of Philosophy of Science (LMU Munich), author of Bayesian Philosophy of Science.

“The very recent development of ‘analogue quantum simulation’ involves a fabulous broadening of the kinds of inferences that can be used and, consequently, the kinds of systems that will count as relevantly similar. This book will give you an introduction to these entirely novel developments in experimental physics.”

Paul Teller, Professor Emeritus (University of California, Davis), author of An Interpretive Introduction to Quantum Field Theory.

Teaching

I developed the class How to Program a Quantum Computer for MIT’s Independent Activity Period. The class explores fundamental concepts in quantum computing through a series of hands-on tutorials, where participants interactively learn by programming a quantum simulator. We introduce state-of-the-art quantum algorithms, leading approaches to quantum hardware and an overview of error mechanisms alongside techniques for error correction. The course culminated in a group project where participants could run their own quantum algorithm on an actual quantum computer!

The course was open to everyone, especially those with no prior experience in quantum information. The lecture slides can be found here and the code to run the tutorials can be found on my GitHub, which can be easily launched via MyBinder.

Media

How to verify that quantum chips are computing correctly

MIT News features Variational Quantum Unsampling

Variational Unsampling

Nature Review Physics features Variational Quantum Unsampling as a research highlight

​One Small Optical Chip, One Giant Leap for Quantum Computing

Vice Motherboard features Universal Linear Optics

Quantum processing scales up and bursts out from theory to reality

My Marie Skłodowska-Curie project ‘VLS-QPP’ was featured on the European Commission website Cordis.

​Integrated solution for quantum technologies

Interviewed by Nature Photonics News and Views on integrated quantum technologies

The Best of the Physics arXiv

MIT Technology Review highlights Quantum Optical Neural Networks as one of the week’s most though provoking papers.

Publications

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