Quantum Deep Hedging
Fuente:
arXiv
Saved in:
| Main Authors: | Cherrat, El Amine, Raj, Snehal, Kerenidis, Iordanis, Shekhar, Abhishek, Wood, Ben, Dee, Jon, Chakrabarti, Shouvanik, Chen, Richard, Herman, Dylan, Hu, Shaohan, Minssen, Pierre, Shaydulin, Ruslan, Sun, Yue, Yalovetzky, Romina, Pistoia, Marco |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Quantum Agents for Algorithmic Discovery
by: Kerenidis, Iordanis, et al.
Published: (2025)
by: Kerenidis, Iordanis, et al.
Published: (2025)
Solving Linear Systems on Quantum Hardware with Hybrid HHL++
by: Yalovetzky, Romina, et al.
Published: (2021)
by: Yalovetzky, Romina, et al.
Published: (2021)
Training-efficient density quantum machine learning
by: Coyle, Brian, et al.
Published: (2024)
by: Coyle, Brian, et al.
Published: (2024)
Hardness of the Maximum Independent Set Problem on Unit-Disk Graphs and Prospects for Quantum Speedups
by: Andrist, Ruben S., et al.
Published: (2023)
by: Andrist, Ruben S., et al.
Published: (2023)
Alignment between Initial State and Mixer Improves QAOA Performance for Constrained Optimization
by: He, Zichang, et al.
Published: (2023)
by: He, Zichang, et al.
Published: (2023)
Decomposition Pipeline for Large-Scale Portfolio Optimization with Applications to Near-Term Quantum Computing
by: Acharya, Atithi, et al.
Published: (2024)
by: Acharya, Atithi, et al.
Published: (2024)
Parameter Setting in Quantum Approximate Optimization of Weighted Problems
by: Sureshbabu, Shree Hari, et al.
Published: (2023)
by: Sureshbabu, Shree Hari, et al.
Published: (2023)
Quantum option pricing via the Karhunen-Loève expansion
by: Prakash, Anupam, et al.
Published: (2024)
by: Prakash, Anupam, et al.
Published: (2024)
The Adjoint Is All You Need: Characterizing Barren Plateaus in Quantum Ansätze
by: Fontana, Enrico, et al.
Published: (2023)
by: Fontana, Enrico, et al.
Published: (2023)
Prospects of Privacy Advantage in Quantum Machine Learning
by: Heredge, Jamie, et al.
Published: (2024)
by: Heredge, Jamie, et al.
Published: (2024)
Des-q: a quantum algorithm to provably speedup retraining of decision trees
by: Kumar, Niraj, et al.
Published: (2023)
by: Kumar, Niraj, et al.
Published: (2023)
Generalized Short Path Algorithms: Towards Super-Quadratic Speedup over Markov Chain Search for Combinatorial Optimization
by: Chakrabarti, Shouvanik, et al.
Published: (2024)
by: Chakrabarti, Shouvanik, et al.
Published: (2024)
Quantum Vision Transformers
by: Cherrat, El Amine, et al.
Published: (2022)
by: Cherrat, El Amine, et al.
Published: (2022)
QAOA with $N\cdot p\geq 200$
by: Shaydulin, Ruslan, et al.
Published: (2023)
by: Shaydulin, Ruslan, et al.
Published: (2023)
qReduMIS: A Quantum-Informed Reduction Algorithm for the Maximum Independent Set Problem
by: Schuetz, Martin J. A., et al.
Published: (2025)
by: Schuetz, Martin J. A., et al.
Published: (2025)
Threshold for Fault-tolerant Quantum Advantage with the Quantum Approximate Optimization Algorithm
by: Omanakuttan, Sivaprasad, et al.
Published: (2025)
by: Omanakuttan, Sivaprasad, et al.
Published: (2025)
Spin-Boson Mapping of the Quantum Approximate Optimization Algorithm
by: Boulebnane, Sami, et al.
Published: (2025)
by: Boulebnane, Sami, et al.
Published: (2025)
QC-Forest: a Classical-Quantum Algorithm to Provably Speedup Retraining of Random Forest
by: Yalovetzky, Romina, et al.
Published: (2024)
by: Yalovetzky, Romina, et al.
Published: (2024)
Fast Convex Optimization with Quantum Gradient Methods
by: Augustino, Brandon, et al.
Published: (2025)
by: Augustino, Brandon, et al.
Published: (2025)
On Speedups for Convex Optimization via Quantum Dynamics
by: Chakrabarti, Shouvanik, et al.
Published: (2025)
by: Chakrabarti, Shouvanik, et al.
Published: (2025)
Parameter Setting Heuristics Make the Quantum Approximate Optimization Algorithm Suitable for the Early Fault-Tolerant Era
by: He, Zichang, et al.
Published: (2024)
by: He, Zichang, et al.
Published: (2024)
A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values
by: Chen, Tyler, et al.
Published: (2025)
by: Chen, Tyler, et al.
Published: (2025)
Performance of Quantum Approximate Optimization with Quantum Error Detection
by: He, Zichang, et al.
Published: (2024)
by: He, Zichang, et al.
Published: (2024)
Non-Variational Quantum Random Access Optimization with Alternating Operator Ansatz
by: He, Zichang, et al.
Published: (2025)
by: He, Zichang, et al.
Published: (2025)
Quantum Approximate Optimization Algorithm in Finite Size and Large Depth and Equivalence to Quantum Annealing
by: Boulebnane, Sami, et al.
Published: (2025)
by: Boulebnane, Sami, et al.
Published: (2025)
Quantum counterdiabatic driving with local control
by: Li, Changhao, et al.
Published: (2024)
by: Li, Changhao, et al.
Published: (2024)
End-to-end quantum algorithms for tensor problems
by: Fontana, Enrico, et al.
Published: (2025)
by: Fontana, Enrico, et al.
Published: (2025)
Quantum Speedups for Derivative Pricing Beyond Black-Scholes
by: Herman, Dylan, et al.
Published: (2026)
by: Herman, Dylan, et al.
Published: (2026)
Applications of Certified Randomness
by: Amer, Omar, et al.
Published: (2025)
by: Amer, Omar, et al.
Published: (2025)
Iterative Interpolation Schedules for Quantum Approximate Optimization Algorithm
by: Apte, Anuj, et al.
Published: (2025)
by: Apte, Anuj, et al.
Published: (2025)
Quantum Compilation Toolkit for Rydberg Atom Arrays with Implications for Problem Hardness and Quantum Speedups
by: Schuetz, Martin J. A., et al.
Published: (2024)
by: Schuetz, Martin J. A., et al.
Published: (2024)
Privacy-preserving quantum federated learning via gradient hiding
by: Li, Changhao, et al.
Published: (2023)
by: Li, Changhao, et al.
Published: (2023)
End-to-End Protocol for High-Quality QAOA Parameters with Few Shots
by: Hao, Tianyi, et al.
Published: (2024)
by: Hao, Tianyi, et al.
Published: (2024)
Variational Quantum Algorithm Landscape Reconstruction by Low-Rank Tensor Completion
by: Hao, Tianyi, et al.
Published: (2024)
by: Hao, Tianyi, et al.
Published: (2024)
Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem
by: Shaydulin, Ruslan, et al.
Published: (2023)
by: Shaydulin, Ruslan, et al.
Published: (2023)
Experimental demonstration of quantum advantage in communication complexity for Euclidean distance problem
by: Yacoub, Verena, et al.
Published: (2026)
by: Yacoub, Verena, et al.
Published: (2026)
A simple analysis of a quantum-inspired algorithm for solving low-rank linear systems
by: Chen, Tyler, et al.
Published: (2025)
by: Chen, Tyler, et al.
Published: (2025)
Data for Certified randomness amplification by dynamically probing remote random quantum states
by: Liu, Minzhao, et al.
Published: (2025)
by: Liu, Minzhao, et al.
Published: (2025)
Q-CHOP: Quantum constrained Hamiltonian optimization
by: Perlin, Michael A., et al.
Published: (2024)
by: Perlin, Michael A., et al.
Published: (2024)
Blind quantum machine learning with quantum bipartite correlator
by: Li, Changhao, et al.
Published: (2023)
by: Li, Changhao, et al.
Published: (2023)
Similar Items
-
Quantum Agents for Algorithmic Discovery
by: Kerenidis, Iordanis, et al.
Published: (2025) -
Solving Linear Systems on Quantum Hardware with Hybrid HHL++
by: Yalovetzky, Romina, et al.
Published: (2021) -
Training-efficient density quantum machine learning
by: Coyle, Brian, et al.
Published: (2024) -
Hardness of the Maximum Independent Set Problem on Unit-Disk Graphs and Prospects for Quantum Speedups
by: Andrist, Ruben S., et al.
Published: (2023) -
Alignment between Initial State and Mixer Improves QAOA Performance for Constrained Optimization
by: He, Zichang, et al.
Published: (2023)