Brandon Augustino's Homepage
e-mail: brandonaugustino[at]gmail[dot]com, baug[at]mit[dot]edu
I am a Senior Associate -- Quantum Computing, Global Technology Applied Research at JPMorgan Chase & Co..
Previously, I was a Postdoctoral Associate with the Sloan School of Management at MIT. Before that, I earned my Ph.D. in Industrial and Systems Engineering from Lehigh University, where I worked in the Quantum Computing and Optimization Lab.
My research is primarily focused on the development of quantum algorithms for scientific computing and solving optimization problems.
During my PhD, I also worked on problems concerning power networks and smart cities, focusing on topics such as resiliancy and adversarial attacks.
My CV can be found here. (last updated 04/2024).
Links to my arXiv papers and Google Scholar page.
Memberships: ACM, IEEE, INFORMS, SIAM.
Recent Updates
04/2024 I started a new position Senior Associate -- Quantum Computing, Global Technology Applied Research at JPMorgan Chase & Co.!
Older News
02/2024 Our paper "Co-optimizing the Smart Grid and Electric Public Transit Bus System" was accepted to Optimization and Engineering!
01/2024 Our paper "Generating Linear, Semidefinite and Second-order Conic Optimization problems was accepted to Optimization Methods and Software!
01/2024 I am organizing sessions on quantum computing and optimization for the 25th International Symposium on Mathematical Programming (ISMP 2024). Feel free to reach out if you are interested in giving a talk!
01/2024 I am the stream organizer for quantum computing and optimization for EURO 2024. Feel free to reach out if you are interested in giving a talk or organzing sessions!
12/2023 New preprint! "Quantum Computing Inspired Iterative Refinement for Semidefinite Optimization" now available on arXiv. Link.
12/2023 I was fortunate to work an extrodinary list of talented colleagues in writing a white paper with the IBM Quantum Optimization Working Group "Quantum Optimization: Potential, Challenges and the Path Forward", which is now available on arXiv. Link.
11/2023 New preprint! "A quantum central path algorithm for linear optimization" now available on arXiv. Link.
10/2023 I gave an invited talk "A quantum central path algorithm for linear optimization" at the 2023 INFORMS Annual Meeting. I am also chairing multiple sessions on the intersection of Quantum Computing and Optimization. Stop by if you are around!
10/2023 I gave an invited talk "A quantum central path algorithm for linear optimization" at the Center for Theoretical Physics at MIT.
09/2023 I gave an invited talk "Solving the semidefinite relaxation of QUBOs in matrix multiplication time, and faster with a quantum computer" at IEEE Quantum Week 2023.
09/2023 Our paper, "Quantum interior point methods for semidefinite optimization" was published with Quantum! You can find the published version here.
09/2023 I started my new position as a Postdoctoral Associate with the Sloan School of Management at MIT!
08/2023 I served as a cluster chair for EUROPT23. We ended up having 5(!) sessions for our Quantum Computing and Optimization cluster. I also gave a talk "New perspectives on quantum interior point methods".
08/2023 I gave an invited talk "New perspectives on quantum interior point methods" at MOPTA 2023.
08/2023 Our book chapter Quantum IPMs for Conic Linear Optimization, was accepted for publication with the Encyclopedia of Optimization.
08/2023 I gave a lecture on quantum interior point methods at the Gene Golub SIAM Summer School (GS23) on Quantum Computing, held at Lehigh University.
07/2023 I successfully defended my PhD thesis!
07/2023 Our paper Generating Linear, Semidefinite and Second-order Conic Optimization problems received a minor revision from Optimization Methods and Software.
06/2023 I gave an invited talk "Solving the semidefinite relaxation of QUBOs in matrix multiplication time, and faster with a quantum computer" at the Second Annual NC State Quantum Workshop.
06/2023 Our paper "Solving the semidefinite relaxation of QUBOs in matrix multiplication time, and faster with a quantum computer" received a major revision from SIAM Journal on Optimization.
06/2023 I gave an invited talk "Solving the semidefinite relaxation of QUBOs in matrix multiplication time, and faster with a quantum computer" at the 2023 SIAM Optimization Conference
05/2023 Our book chapter Quantum Linear Algebra, was accepted for publication with the Encyclopedia of Optimization.
02/2023 I am the cluster chair for the stream on Quantum Computing Optimization for EUROPT23 in August. More details can be found here.
02/2023 I am organizing sessions for the upcoming 2023 INFORMS Annual Meeting on quantum computing for optimization and scientific computing, please reach out if you are interested in giving a talk!
01/2023 I gave an invited talk "Solving the semidefinite relaxation of QUBOs in matrix multiplication time, and faster with a quantum computer" at the Amazon Web Services Quantum Algorithms Group meeting.
01/12/2023 New paper: Our work on quantum algorithms for the semidefinite relaxation of QUBOs is now available on arXiv!
01/03/2023 I will be giving a talk at the 2023 SIAM Optimization Conference in June, 2023.