3 papers
quant-ph2026
Mitigating Precision Errors in Quantum Annealing via Coefficient Reduction of Embedded Hamiltonians
Kentaro Ohno, Nozomu Togawa
Quantum annealing is a quantum algorithm to solve combinatorial optimization problems. In the current quantum annealing devices, the dynamic range of the input Ising Hamiltonian, d…
quant-ph2026
Machine Failure Detection Based on Projected Quantum Models
Larry Bowden, Qi Chu, Bernard Cena +4
Detecting machine failures promptly is of utmost importance in industry for maintaining efficiency and minimizing downtime. This paper introduces a failure detection algorithm base…
quant-ph2025
Enhanced fill probability estimates in institutional algorithmic bond trading using statistical learning algorithms with quantum computers
Axel Ciceri, Austin Cottrell, Joshua Freeland +13
The estimation of fill probabilities for trade orders represents a key ingredient in the optimization of algorithmic trading strategies. It is bound by the complex dynamics of fina…