Milad Marvian
University of New Mexico, NM·Physics·Early-career
Quantum computers could outperform ordinary computers on certain high-impact tasks. Their main weakness is extreme sensitivity to noise and decoherence, the gradual loss of fragile quantum information.
- Fields
Physics
Computer Science
Engineering
- Topics
quantum computing
fault-tolerant quantum computation
quantum error correction
- Grants
- 1 known grant, through Feb 2028
What they work on
- Develop mathematical models describing how errors propagate through quantum circuits, and use them to construct resource-efficient fault-tolerant computing subroutines.
- Adapt classical data compression and classical error-correcting codes to design low-overhead fault-tolerant quantum schemes that need fewer extra qubits and operations.
- Determine the minimum resources and permissible noise for reliable quantum computation, building the hardware constraints of real quantum processors directly into the analysis.
- Use computer-assisted search to find optimized fault-tolerant constructions, and apply them to protect operations such as code-switching between quantum error-correcting codes.
More about the research
Fault-tolerant protocols detect and fix errors as a computation runs, but they demand large overhead: many extra physical qubits and operations for each useful one. It is also not fully understood how much noise a device can tolerate, or how much overhead error correction truly requires. This project asks how to make reliable quantum computation cheaper, and what the minimum requirements for it are.
Why it matters
Error correction is the main hardware cost standing between today's noisy quantum devices and useful large-scale quantum computers. Low-overhead fault-tolerant designs could reduce the number of qubits and operations needed for reliable computation, which may help groups building quantum processors reach accurate large-scale computation with less hardware.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Todd Brun
University of Southern California, CA·Physics
Develop weakly fault-tolerant quantum computing using error-detecting codes that store n–2 logical qubits in n physical qubits, detecting single faults and discarding runs that show errors, for use on near-term processors.
Chun Jun Cao
Virginia Polytechnic Institute and State University, VA·Physics·Early-career
Develop fault-tolerant decoding and error-correction protocols for holographic codes, which are quantum error-correcting codes inspired by quantum gravity and built from tensor networks.
Sonia Lopez Alarcon
Rochester Institute of Technology, NY·Computer Science
Train machine learning models to identify and synthesize qubit routing algorithms tailored to a specific quantum device and objective, including selection of optimal parameters and optimization functions.
The school
University of New Mexico: 27 labs on PI Pages, $355M a year on research, 182 research doctorates a year.
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