Grant Salton
Quantum Information Scientist
quantum { error_correction, algorithms, applications, solutions }
grant [at] gsalton [dot] com
About
I am a senior research scientist at Amazon Web Services with a focus on quantum computing, optimization, and machine learning. I develop and analyze quantum algorithms, quantum solutions, and quantum error correcting codes that bridge theory and real-world hardware, striving to turn quantum advantage into practical solutions for real-world problems. Our open access book, "Quantum Algorithms: A Survey of Applications and End-to-end Complexities" was published by Cambridge University Press in April 2025.
Experience
Amazon Quantum
Senior Research Scientist
Founding member of the Amazon Quantum Solutions Lab, a customer-facing research team. Focus on quantum applications and algorithm development for industry challenges.
Caltech IQIM
Postdoctoral Scholar
Visiting Researcher
IQIM Postdoctoral Scholar; Preskill group. Researched quantum error correction and holographic duality.
Stanford University
Ph.D. and M.Sc. in Physics
Visiting Postdoctoral Scholar
Focus on quantum error correction and applications of quantum information theory to other areas in physics.
Research Interests
Quantum Error Correction
Robust codes for protecting quantum data from realistic noise.
Broad interest in QEC. Approximate QEC, operator algebra QEC, universal recovery theorems, homological codes, physical applications of error correction, ML applications to QEC, approximate Eastin-Knill, etc.
Quantum Algorithms
Designing and analyzing quantum circuits to deliver speedups over classical methods.
Development of algorithms for core primitives and domain‑specific applications, with careful end‑to‑end complexity analysis and benchmarking.
Quantum Compilation & Resource Estimation
Turning high‑level quantum programs into efficient low‑level instructions, and forecasting what they will cost.
Compilation toolkits for Rydberg atom arrays, block‑encoding of classical data, and end-to-end resource analyses of qubit counts, T-count, and T-depth for practical workloads.
NISQ Methods and Applied Quantum Computing
Using near-term quantum hardware to test quantum solutions to industrially relevant problems.
Quantum‑informed reductions and hybrid pipelines for architecture-aware problem decomposition, and prospects for quantum speed-up with near‑term devices.
Quantum Gravity, Holography & Spacetime
Using the tools of quantum information theory to understand gravity and spacetime.
Entanglement and error correction in AdS/CFT and holographic quantum gravity. Entanglement wedge reconstruction, Petz recovery, wormholes via scrambling, and information replication.
Continuous Variable Quantum Information, and Field Theory
Exploring complex quantum systems and relativistic phenomena through an information-theoretic lens.
Continuous variable quantum error correction, quantum optics, and approximate QEC. Computation via scattering, entanglement harvesting, and other studies that bridge topics in physics and quantum information.