I am an AWS Quantum Postdoctoral Scholar in the Institute for Quantum Information and Matter at Caltech hosted by John Preskill and Urmila Mahadev.
I recevied my PhD in physics from MIT under the supervision of Aram Harrow. I hold a BSc in electrical engineering and physics from Sharif University.
I am interested in quantum computing and quantum information science. My work draws on concepts from physics, computer science, and mathematics to develop theoretical frameworks that enable the learning and simulation of new features of physical systems using classical or quantum computers.
My PhD thesis:
Efficiently learning, testing, and simulating quantum many-body systems
Publications
* Authors are ordered alphabetically
- Testing matrix product states
Mehdi Soleimanifar*, John Wright- In Symposium on Discrete Algorithms (SODA) 2022
- Contributed talk at QIP 2022
- Improved approximation algorithms for bounded-degree local Hamiltonians
Anurag Anshu, David Gosset, Karen J. Morenz Korol, Mehdi Soleimanifar*- Physical Review Letters
- Contributed talk at QIP 2022
- Entanglement spread area law in gapped ground states
Anurag Anshu, Aram Harrow, Mehdi Soleimanifar*- Nature Physics 2022
- Contributed talk at QIP 2021
- Coverage: News and Views Article
- Sample-efficient learning of interacting quantum systems
Anurag Anshu, Srinivasan Arunachalam, Tomotaka Kuwahara, Mehdi Soleimanifar*- Nature Physics 2021
- In Symposium on Foundations of Computer Science (FOCS) 2020
- Contributed talk at QIP 2021
- Coverage: News and Views Article and IBM Blog Post
- No-Go theorem for iterations of unknown quantum gates
Mehdi Soleimanifar, Vahid Karimipour(arXiv)
- Adaptive transmission rate with a fixed threshold decoder for diffusion-based molecular communication
Mohammad Movahednasab, Mehdi Soleimanifar, Amin Gohari, Masoumeh N. Kenari, Urbashi Mitra(arXiv)