Cotler, Jordan
- Exponential separations between learning with and without quantum memory
2021/11/10 by Chen, Sitan, Cotler, Jordan, Huang, Hsin-Yuan +1 · 18 citations
#Computational Complexity (cs.CC) #FOS: Computer and information sciences #FOS: Physical sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Quantum Physics (quant-ph)
- The Complexity of NISQ
2022/10/13 by Chen, Sitan, Cotler, Jordan, Huang, Hsin-Yuan +1 · 17 citations
#Computational Complexity (cs.CC) #FOS: Computer and information sciences #FOS: Physical sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Quantum Physics (quant-ph)
- Low-dimensional de Sitter quantum gravity
2019/05/09 by Cotler, Jordan, Jensen, Kristan, Maloney, Alexander · 10 citations
#FOS: Physical sciences #General Relativity and Quantum Cosmology (gr-qc) #High Energy Physics - Theory (hep-th)
- Revisiting dequantization and quantum advantage in learning tasks
2021/12/01 by Cotler, Jordan, Huang, Hsin-Yuan, McClean, Jarrod R. · 5 citations
#FOS: Computer and information sciences #FOS: Physical sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Quantum Physics (quant-ph)
- A Hierarchy for Replica Quantum Advantage
2021/11/10 by Sitan Chen, Chen, Sitan, Jordan Cotler +5 · 4 citations
Computer Science · #Computational Complexity (cs.CC) #FOS: Computer and information sciences #FOS: Physical sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning and Algorithms #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Physics (quant-ph)
- Hardware-efficient learning of quantum many-body states
2022/12/12 by Katherine Van Kirk, Van Kirk, Katherine, Jordan Cotler +5 · 5 citations
Physics and Astronomy · #Advanced Thermodynamics and Statistical Mechanics #Cold Atom Physics and Bose-Einstein Condensates #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Quantum Physics (quant-ph) #Quantum many-body systems #Strongly Correlated Electrons (cond-mat.str-el)
- Information-theoretic Hardness of Out-of-time-order Correlators
2022/08/03 by Cotler, Jordan, Schuster, Thomas, Mohseni, Masoud · 4 citations
#FOS: Physical sciences #High Energy Physics - Theory (hep-th) #Quantum Physics (quant-ph)
- An Integer Basis for Celestial Amplitudes
2023/02/09 by Cotler, Jordan, Miller, Noah, Strominger, Andrew · 3 citations
#FOS: Physical sciences #High Energy Physics - Theory (hep-th)
- Learning quantum systems via out-of-time-order correlators
2022/08/03 by Thomas Schuster, Murphy Yuezhen Niu, Schuster, Thomas +9 · 3 citations
Physics and Astronomy · Computer Science · #Spectroscopy and Quantum Chemical Studies #Quantum Information and Cryptography #Neural Networks and Reservoir Computing
- Non-perturbative de Sitter Jackiw-Teitelboim gravity
2024/01/03 by Jordan Cotler, Kristan Jensen, Cotler, Jordan +1 · 3 citations
Physics and Astronomy · #Black Holes and Theoretical Physics #Cosmology and Gravitation Theories #Dark Matter and Cosmic Phenomena #FOS: Physical sciences #General Relativity and Quantum Cosmology (gr-qc) #High Energy Physics - Theory (hep-th)
- Emergent unitarity in de Sitter from matrix integrals
2019/11/27 by Cotler, Jordan, Jensen, Kristan · 1 citation
#FOS: Physical sciences #General Relativity and Quantum Cosmology (gr-qc) #High Energy Physics - Theory (hep-th)
- Soft gravitons in three dimensions
2024/11/20 by Jordan Cotler, Cotler, Jordan, Kristan Jensen +7 · 3 citations
Earth and Planetary Sciences · Physics and Astronomy · #Black Holes and Theoretical Physics #Cosmology and Gravitation Theories #FOS: Physical sciences #General Relativity and Quantum Cosmology (gr-qc) #Geophysics and Gravity Measurements #High Energy Physics - Theory (hep-th)
- Analyzing Populations of Neural Networks via Dynamical Model Embedding
2023/02/27 by Jordan Cotler, Kai Sheng Tai, Cotler, Jordan +7 · 1 citation
Computer Science · Physics and Astronomy · #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Model Reduction and Neural Networks
- A finite Carrollian critical point
2025/04/16 by Cotler, Jordan, Dhivakar, Prateksh, Jensen, Kristan · 4 citations
#FOS: Physical sciences #High Energy Physics - Theory (hep-th)
- Cosmic ER=EPR in dS/CFT
2023/02/01 by Jordan Cotler, Andrew Strominger, Cotler, Jordan +1 · 1 citation
Physics and Astronomy · #Cold Atom Physics and Bose-Einstein Condensates #FOS: Physical sciences #General Relativity and Quantum Cosmology (gr-qc) #High Energy Physics - Theory (hep-th) #Quantum Electrodynamics and Casimir Effect #Strong Light-Matter Interactions
- Renormalizing Diffusion Models
2023/08/23 by Cotler, Jordan, Rezchikov, Semon · 1 citation
#FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Lattice (hep-lat) #High Energy Physics - Theory (hep-th) #Machine Learning (cs.LG)
- Norm of the no-boundary state
2025/06/25 by Cotler, Jordan, Jensen, Kristan · 2 citations
#FOS: Physical sciences #General Relativity and Quantum Cosmology (gr-qc) #High Energy Physics - Theory (hep-th)
- Renormalons as Saddle Points
2024/10/09 by Bhattacharya, Arindam, Cotler, Jordan, Dersy, Aurélien +1 · 1 citation
#FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #High Energy Physics - Theory (hep-th)