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Eric R. Anschuetz
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15
A Unified Theory of Quantum Neural Network Loss Landscapes
6 February 2025 by
Eric Anschuetz
Quantum Physics
,
Machine Learning
Arbitrary Polynomial Separations in Trainable Quantum Machine Learning
23 December 2024 by
Eric Anschuetz
and
Xun Gao
Quantum Physics
,
Machine Learning
Combinatorial NLTS From the Overlap Gap Property
11 November 2024 by
Eric Anschuetz
and
others
Quantum Physics
Strongly interacting fermions are non-trivial yet non-glassy
5 November 2024 by
Eric Anschuetz
and
others
at
Caltech
Quantum Physics
Product states optimize quantum
p
-spin models for large
p
5 April 2024 by
Eric Anschuetz
and
others
Quantum Physics
,
Mathematical Physics
Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing
19 March 2024 by
M. Cerezo
and
others
at
LANL
Quantum Physics
,
Machine Learning
Q-CHOP: Quantum constrained Hamiltonian optimization
8 March 2024 by
Michael Perlin
and
others
Quantum Physics
,
Emerging Technologies
Efficient classical algorithms for simulating symmetric quantum systems
31 January 2023 by
Eric Anschuetz
and
others
at
Freie Universität Berlin
Quantum Physics
Interpretable Quantum Advantage in Neural Sequence Learning
28 September 2022 by
Eric Anschuetz
and
others
Quantum Physics
Beyond Barren Plateaus: Quantum Variational Algorithms Are Swamped With Traps
28 September 2022 by
Eric Anschuetz
and
Bobak Kiani
Quantum Physics
Degeneracy Engineering for Classical and Quantum Annealing: A Case Study of Sparse Linear Regression in Collider Physics
12 September 2022 by
Eric Anschuetz
and
others
Quantum Physics
,
High Energy Physics
Critical Points in Quantum Generative Models
17 February 2022 by
Eric Anschuetz
Quantum Physics
ORQVIZ: Visualizing High-Dimensional Landscapes in Variational Quantum Algorithms
8 November 2021 by
Manuel Rudolph
and
others
Quantum Physics
Enhancing Generative Models via Quantum Correlations
20 January 2021 by
Xun Gao
and
others
Quantum Physics
,
Statistical Mechanics
Coreset Clustering on Small Quantum Computers
30 April 2020 by
Teague Tomesh
and
others
Quantum Physics
,
Machine Learning
Near-Term Quantum-Classical Associative Adversarial Networks
30 May 2019 by
Eric Anschuetz
and
Cristian Zanoci
Machine Learning
,
Quantum Physics
Cold Matter Assembled Atom-by-Atom
11 July 2016 by
Manuel Endres
and
others
Quantum Physics
,
Quantum Gases
This is an AI-generated summary
Key points
Topics
Quantum Physics
Machine Learning
High Energy Physics
Mathematical Physics
Probability
Emerging Technologies
Statistical Mechanics
Quantum Gases
Atomic Physics
