Exponential Improvement on Asian Option Pricing Through Quantum Preconditioning Methods
Fuente:
arXiv
Saved in:
| Main Authors: | Rendon, Gumaro, Kshirsagar, Rutuja, Tran, Quoc Hoan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Canonical Partition Function on a Quantum Computer through Trotter Interpolation
by: Guo, Taozhi, et al.
Published: (2025)
by: Guo, Taozhi, et al.
Published: (2025)
Exponentially Fast Solution State Preparation for the Heat Equation and its use for Option Pricing
by: Rendon, Gumaro, et al.
Published: (2026)
by: Rendon, Gumaro, et al.
Published: (2026)
Exponentially Improved Constant in Quantum Solution Extraction
by: Rendon, Gumaro
Published: (2025)
by: Rendon, Gumaro
Published: (2025)
Preconditioned Multivariate Quantum Solution Extraction
by: Rendon, Gumaro, et al.
Published: (2026)
by: Rendon, Gumaro, et al.
Published: (2026)
All you need is Trotter
by: Rendon, Gumaro
Published: (2023)
by: Rendon, Gumaro
Published: (2023)
Agnostic Dynamical Decoupling for Single-Qubit Gates
by: Rendon, Gumaro
Published: (2026)
by: Rendon, Gumaro
Published: (2026)
Quantum Curriculum Learning
by: Tran, Quoc Hoan, et al.
Published: (2024)
by: Tran, Quoc Hoan, et al.
Published: (2024)
Molecular Quantum Transformer
by: Kamata, Yuichi, et al.
Published: (2025)
by: Kamata, Yuichi, et al.
Published: (2025)
On proving the robustness of algorithms for early fault-tolerant quantum computers
by: Kshirsagar, Rutuja, et al.
Published: (2022)
by: Kshirsagar, Rutuja, et al.
Published: (2022)
Latent-Conditioned Parameterized Quantum Circuits as Universal Approximators for Distributions over Quantum States
by: Tran, Quoc Hoan, et al.
Published: (2026)
by: Tran, Quoc Hoan, et al.
Published: (2026)
Universality of Many-body Projected Ensemble for Learning Quantum Data Distribution
by: Tran, Quoc Hoan, et al.
Published: (2026)
by: Tran, Quoc Hoan, et al.
Published: (2026)
Learning Quantum Data Distribution via Chaotic Quantum Diffusion Model
by: Tran, Quoc Hoan, et al.
Published: (2026)
by: Tran, Quoc Hoan, et al.
Published: (2026)
Improved Accuracy for Trotter Simulations Using Chebyshev Interpolation
by: Rendon, Gumaro, et al.
Published: (2022)
by: Rendon, Gumaro, et al.
Published: (2022)
Quantum circuit fidelity estimation using machine learning
by: Vadali, Avi, et al.
Published: (2022)
by: Vadali, Avi, et al.
Published: (2022)
Extending echo state property for quantum reservoir computing
by: Kobayashi, Shumpei, et al.
Published: (2024)
by: Kobayashi, Shumpei, et al.
Published: (2024)
Coherence influx is indispensable for quantum reservoir computing
by: Kobayashi, Shumpei, et al.
Published: (2024)
by: Kobayashi, Shumpei, et al.
Published: (2024)
Splitting and Parallelizing of Quantum Convolutional Neural Networks for Learning Translationally Symmetric Data
by: Chinzei, Koki, et al.
Published: (2023)
by: Chinzei, Koki, et al.
Published: (2023)
Trade-off between Gradient Measurement Efficiency and Expressivity in Deep Quantum Neural Networks
by: Chinzei, Koki, et al.
Published: (2024)
by: Chinzei, Koki, et al.
Published: (2024)
Iterative Quantum Feature Maps
by: Matsumoto, Nasa, et al.
Published: (2025)
by: Matsumoto, Nasa, et al.
Published: (2025)
Resource-efficient equivariant quantum convolutional neural networks
by: Chinzei, Koki, et al.
Published: (2024)
by: Chinzei, Koki, et al.
Published: (2024)
Autocallable Options Pricing with Integration-Based Exponential Amplitude Loading
by: Cibrario, Francesca, et al.
Published: (2025)
by: Cibrario, Francesca, et al.
Published: (2025)
Efficient ground-state energy estimation and certification on early fault-tolerant quantum computers
by: Wang, Guoming, et al.
Published: (2023)
by: Wang, Guoming, et al.
Published: (2023)
Monte-Carlo Option Pricing in Quantum Parallel
by: Scriba, Robert, et al.
Published: (2025)
by: Scriba, Robert, et al.
Published: (2025)
Real Option Pricing using Quantum Computers
by: Manzano, Alberto, et al.
Published: (2023)
by: Manzano, Alberto, et al.
Published: (2023)
Quantum Amplitude Loading for Rainbow Options Pricing
by: Cibrario, Francesca, et al.
Published: (2024)
by: Cibrario, Francesca, et al.
Published: (2024)
Evaluating Quantum Amplitude Estimation for Pricing Multi-Asset Basket Options
by: Kashif, Muhammad, et al.
Published: (2025)
by: Kashif, Muhammad, et al.
Published: (2025)
Learning quantum many-body data locally: A provably scalable framework
by: Chinzei, Koki, et al.
Published: (2025)
by: Chinzei, Koki, et al.
Published: (2025)
Optimization via Quantum Preconditioning
by: Dupont, Maxime, et al.
Published: (2025)
by: Dupont, Maxime, et al.
Published: (2025)
Enhancing variational quantum algorithms by balancing training on classical and quantum hardware
by: Bhowmick, Rahul, et al.
Published: (2025)
by: Bhowmick, Rahul, et al.
Published: (2025)
Iterative Quantum Feature Maps
by: Nasa Matsumoto, et al.
Published: (2026)
by: Nasa Matsumoto, et al.
Published: (2026)
Mixed-Signal Quantum Circuit Design for Option Pricing Using Design Compiler
by: Kao, Yu-Ting, et al.
Published: (2025)
by: Kao, Yu-Ting, et al.
Published: (2025)
Option Pricing on Noisy Intermediate-Scale Quantum Computers: A Quantum Neural Network Approach
by: Zając, Sebastian, et al.
Published: (2026)
by: Zając, Sebastian, et al.
Published: (2026)
Contextuality as a Precondition for Quantum Entanglement
by: Plávala, Martin, et al.
Published: (2022)
by: Plávala, Martin, et al.
Published: (2022)
Quantum-Inspired Tensor Neural Networks for Option Pricing
by: Patel, Raj G., et al.
Published: (2022)
by: Patel, Raj G., et al.
Published: (2022)
Preconditioned Block Encodings for Quantum Linear Systems
by: Lapworth, Leigh, et al.
Published: (2025)
by: Lapworth, Leigh, et al.
Published: (2025)
Preconditioning for a Variational Quantum Linear Solver
by: Hosaka, Aruto, et al.
Published: (2023)
by: Hosaka, Aruto, et al.
Published: (2023)
Boosting Binomial Exotic Option Pricing with Tensor Networks
by: van Damme, Maarten, et al.
Published: (2025)
by: van Damme, Maarten, et al.
Published: (2025)
Quantum Algorithm for Local-Volatility Option Pricing via the Kolmogorov Equation
by: Guseynov, Nikita, et al.
Published: (2025)
by: Guseynov, Nikita, et al.
Published: (2025)
On Quantum Ambiguity and Potential Exponential Computational Speed-Ups to Solving Dynamic Asset Pricing Models
by: Ghysels, Eric, et al.
Published: (2024)
by: Ghysels, Eric, et al.
Published: (2024)
Quasi-twisted codes: decoding and applications in code-based cryptography
by: S, Bhagyalekshmy, et al.
Published: (2025)
by: S, Bhagyalekshmy, et al.
Published: (2025)
Similar Items
-
Canonical Partition Function on a Quantum Computer through Trotter Interpolation
by: Guo, Taozhi, et al.
Published: (2025) -
Exponentially Fast Solution State Preparation for the Heat Equation and its use for Option Pricing
by: Rendon, Gumaro, et al.
Published: (2026) -
Exponentially Improved Constant in Quantum Solution Extraction
by: Rendon, Gumaro
Published: (2025) -
Preconditioned Multivariate Quantum Solution Extraction
by: Rendon, Gumaro, et al.
Published: (2026) -
All you need is Trotter
by: Rendon, Gumaro
Published: (2023)