Steven T. Flammia
- Sparse Quantum Codes from Quantum Circuits
2014/11/12 by Dave Bacon, Steven T. Flammia, Aram W. Harrow +1 · 1 voice · 7 citations
Computer Science · Physics and Astronomy · #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum-Dot Cellular Automata #cs.IT #quant-ph
- Scalable Bayesian Hamiltonian learning
2019/12/16 by T. J. Evans, Evans, Tim J., Robin Harper +3 · 10 citations
Computer Science · #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Mesoscale and Nanoscale Physics (cond-mat.mes-hall) #Quantum Computing Algorithms and Architecture #Quantum Gases (cond-mat.quant-gas) #Quantum Information and Cryptography #Quantum Physics (quant-ph) #Strongly Correlated Electrons (cond-mat.str-el)
- Learning k-body Hamiltonians via compressed sensing
2024/10/24 by Muzhou Ma, Steven T. Flammia, Ma, Muzhou +5 · 11 citations
Medicine · Physics and Astronomy · #Advanced MRI Techniques and Applications #Atomic and Subatomic Physics Research #Advanced Thermodynamics and Statistical Mechanics
- Tailored XZZX codes for biased noise
2022/03/30 by Qian Xu, Xu, Qian, Nam Mannucci +9 · 5 citations
Computer Science · Physics and Astronomy · #FOS: Physical sciences #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph) #Quantum and electron transport phenomena #Quantum-Dot Cellular Automata
- Ansatz-free Hamiltonian learning with Heisenberg-limited scaling
2025/02/17 by Hong-Ye Hu, Michael Ma, Hu, Hong-Ye +10 · 14 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Information Theory (cs.IT) #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Quantum Physics (quant-ph)
- Foundations for learning from noisy quantum experiments
2022/04/28 by Hsin-Yuan Huang, Steven T. Flammia, Huang, Hsin-Yuan +3 · 4 citations
Computer Science · #Quantum Computing Algorithms and Architecture #Computability, Logic, AI Algorithms #Stochastic Gradient Optimization Techniques
- Efficient self-consistent learning of gate set Pauli noise
2024/10/04 by Senrui Chen, Chen, Senrui, Zhihan Zhang +5 · 7 citations
Chemistry · Computer Science · #Electrochemical Analysis and Applications #FOS: Physical sciences #Mathematical Physics (math-ph) #Neural Networks and Applications #Neural Networks and Reservoir Computing #Quantum Physics (quant-ph)
- Fault-Tolerant Quantum Memory using Low-Depth Random Circuit Codes
2023/11/29 by Jon Nelson, Gregory Bentsen, Nelson, Jon +5 · 3 citations
Computer Science · #FOS: Physical sciences #Parallel Computing and Optimization Techniques #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph) #Statistical Mechanics (cond-mat.stat-mech) #Stochastic Gradient Optimization Techniques
- Free-Fermion Subsystem Codes
2022/01/18 by Adrian Chapman, Steven T. Flammia, Chapman, Adrian +3 · 1 citation
Physics and Astronomy · #FOS: Physical sciences #Magnetic properties of thin films #Physics of Superconductivity and Magnetism #Quantum Physics (quant-ph) #Quantum and electron transport phenomena #Strongly Correlated Electrons (cond-mat.str-el)
- Lattices, Gates, and Curves: GKP codes as a Rosetta stone
2024/07/03 by Jonathan Conrad, Conrad, Jonathan, Ansgar G. Burchards +3 · 2 citations
Computer Science · #Algebraic Geometry (math.AG) #Algorithms and Data Compression #Cellular Automata and Applications #Differential Geometry (math.DG) #FOS: Mathematics #FOS: Physical sciences #Geometric Topology (math.GT) #Mathematical Physics (math-ph) #Quantum Physics (quant-ph)