Nicolas Delfosse

Principal Researcher at IonQ

It is exciting to work on the first generation of quantum computers. Unfortunately, current quantum hardware is not sufficiently reliable for industrial applications. The primary challenge for the quantum computing community is to transition from small noisy devices to large-scale fault-tolerant quantum computers capable of solving industrial problems. This requires designing a quantum computer around quantum error correction and fault-tolerance. Most of what a large-scale quantum computer will do is correcting faults!

I am an expert in quantum error correction and fault tolerance. The goal of my research is to use these techniques to make quantum bits and quantum operations good enough to run large-scale quantum algorithms and to solve practical problems.

In the past, I worked on different kinds of quantum error correction codes including surface codes, color codes, Floquet codes, block codes and LDPC codes. One of my favorite research problems is the design of fast decoders for these codes. I designed several decoding algorithms such as the Union-Find decoder, the projection decoder for color codes or a peeling decoder capable of correcting erasures.

Today, I lead the quantum error correction team at IonQ. My goal is to make quantum error correction practical to enable large-scale fault-tolerant quantum computing. To learn more about the work of my team check this blogpost. If you are interested in an overview of quantum error correction, I recently gave a tutorial on the topic at UCLA. The videos are available here.

Recent News

Aug 2025 - Conference PC: I will be on the PC of the QEC conference. This is the main conference on quantum error correction. Submit your work before March 28th.

May 13th to 14th 2025 - Conference talk: I will give an invited talk at the Intriq conference in Bromon.

May 9th 2025 - Conference talk: I will give an invited talk at the ACFAS conference at l'École de technologie supérieure de Montréal.

April 20th to 25th 2025 - Conference talk: I will give an invited talk at the workshop on fault-tolerant quantum computing at Les Houches School of Physics.

April 3rd 2025 - Seminar: I will give a seminar at the University of New Mexico.

March 11th 2025 - Guest lecture: I will give a guest lecture on quantum error correction at the University of Washington in the class of Anant. My slides are here.

March 7th 2025 - Publication: Our paper Low-cost noise reduction for Clifford circuits is now published in Physical Review Letters.

Jan 26th to 28th 2025 - Conference talk: I will give an invited talk at the NSF workshop on quantum computing with neutral atoms at MIT.

Jan 16th 2025 - New preprint: Optimizing hypergraph product codes with random walks, simulated annealing and reinforcement learning.

Older news

Publications

Selected papers:

Constant-Overhead Quantum Error Correction with Thin Planar Connectivity

M Tremblay, N Delfosse, M Beverland

Physical Review Letters 129, 050504 (2022).

Almost-linear time decoding algorithm for topological codes

N Delfosse, NH Nickerson

Quantum 5, 595

Optimizing quantum error correction codes with reinforcement learning

HP Nautrup, N Delfosse, V Dunjko, HJ Briegel, N Friis

Quantum 3, 215

Linear-time maximum likelihood decoding of surface codes over the quantum erasure channel

N Delfosse, G Zémor

Physical Review Research 2 (3), 033042

Wigner function negativity and contextuality in quantum computation on rebits

N Delfosse, PA Guerin, J Bian, R Raussendorf

Physical Review X 5 (2), 021003

Decoding color codes by projection onto surface codes

N Delfosse

Phys. Rev. A 89, 012317

View all publications and patents

Short resume

Background:

I obtained my PhD degree in pure mathematics from Bordeaux University in 2012, under the supervision of Gilles Zémor. My PhD work was about quantum error correction and quantum LDPC codes. Then, I joined Ecole polytechnique supported by the LIX-Qualcomm fellowship, where I worked with Alain Couvreur. I held a postdoc position at Sherbrooke University in the group of David Poulin and a postdoc position shared between Caltech and UCR in the groups of John Preskill. and Leonid Pryadko. Before joining IonQ, I was as a principal researcher at Microsoft, where I spent 6 years, working on fault-tolerant quantum computing. I am currently leading the quantum error correction team of IonQ.

Intern supervision:

I supervised the following PhD students for a three-month internship:

- Rui Chao, summer 2019 (Duke University)

- Poulami Das, summer 2019 (Georgia Tech)

- Christopher Pattison, Fall 2020 (Caltech)

- Maxime Tremblay, Fall 2020 (Sherbrooke University)

- Shilin Huang, Summer 2021 (Duke University)

- Yue Wu, Summer 2023 (Yale University)

- Gregory Baimetov, Summer 2024 (University of Washington)

Postdoc supervision:

I supervised Nicholas Connolly for his postdoc working on quantum LDPC codes from Sept 2021 to Aug 2023 (in collaboration with Vivien Londe and Anthony Leverrier).

Teaching:

In 2008, I obtained the agrégation de Mathématiques. Between 2009 and 2013, I have been teaching mathematics (Algebra, Calculus, Discrete Math, Numerical Analysis and Cryptography) and computer science (Java, Python) classes at classes préparatoire Camille Jullian, Bordeaux University, Enseirb-Matmeca engineering school and Ecole polytechnique.

Quantum computing lectures:

More recently, I have been teaching lectures for grad students at the IBM summer school in 2022 and at the PCMI summer school in 2023. I gave tutorials on quantum error correction at UCLA for the IPAM quantum computing program.

Math circle:

I am regularly teaching for a math circle in the Seattle area (the northwest academy of sciences). In 2023, I taught a series of lectures on Shor's algorithm. In 2024, I gave lectures on fault-tolerant quantum computing. In 2025, I gave lectures on quantum chemistry.

Recent lectures:

IPAM Quantum computing program 2023 at UCLA:

Tutorials on quantum error correction.

IAS | PCMI Summer School 2023:

Lectures on quantum LDPC codes.

IBM Summer School 2022:

Lectures on quantum LDPC codes.