Sampling electronic structure quadratic unconstrained binary optimization problems (QUBOs) with Ocean and Mukai solvers. [PDF]
Teplukhin A +4 more
europepmc +1 more source
Estimating Hierarchical Demand in Retail Operations
ABSTRACT A hierarchical structure over product attributes is a central input to many product assortment and inventory optimization models, yet no existing method can recover such structures from the aggregate sales data that retailers routinely collect.
Blair Flicker +3 more
wiley +1 more source
Compile‐Once Block Encodings for Masked Similarity‐Transformed Effective Hamiltonians
Composer transforms structured electronic‐structure operators into a reusable quantum‐circuit fabric. Once compiled, the same block‐encoding architecture is re‐dialed through coefficients, rotation angles, and masks to generate similarity‐transformed effective Hamiltonians across related problem instances, avoiding repeated structural recompilation ...
Bo Peng, Yuan Liu, Karol Kowalski
wiley +1 more source
Exploiting Group Symmetry in Semidefinite Programming Relaxations of the Quadratic Assignment Problem [PDF]
We consider semidefinite programming relaxations of the quadratic assignment problem, and show how to exploit group symmetry in the problem data. Thus we are able to compute the best known lower bounds for several instances of quadratic assignment ...
Klerk, E. de, Sotirov, R.
core
A Multilevel Algorithm for Large Unconstrained Binary Quadratic Optimization [PDF]
The unconstrained binary quadratic programming (UBQP) problem is a general NP-hard problem with various applications. In this paper, we present a multilevel algorithm designed to approximate large UBQP instances.
Wang, Yang +11 more
core +1 more source
Drone Delivery Packing Problem on a Neutral‐Atom Quantum Computer
This research models the Drone Delivery Packing Problem as a battery‐constrained graph partitioning. We use Pasqal's Fresnel QPU to sample time‐feasible single‐drone schedules, with tunable delivery targets via hardware parameters, and enforce battery limits by greedy post‐processing.
Sara Tarquini +4 more
wiley +1 more source
Bounds for Binary Integer Programming via Unconstrained Quadratic Pseudo-Boolean Optimization
This research proposes a method for finding bounds in binary integer programming (BIP) and quadratic binary integer programming (QBIP). Our approach utilizes a max-flow technique within the framework of quadratic pseudo-Boolean optimization.
Chulin Likasiri, Sirilak Phonin
core +1 more source
Practical Implementation of Unconstrained Optimization Methods Tested on Quadratic Functions [PDF]
In this work we give a detailed look to the Practical implementation of unconstrained optimization tested on quadratic functions. Section (1) speak about the theory of optimization problems, introduce definitions and theorems of linear programming ...
El Siddieg, Awatif M. A.
core +1 more source
Interval Data Assimilation: A Data Assimilation Scheme Where All Observations Are Intervals
Abstract With the proliferation of non‐conventional observations from low‐cost sensors, citizen science networks, and binary detection systems, data assimilation increasingly confronts observations that take the form of inequalities or intervals rather than precise point values.
Le Duc, Naoki Hiura, Yohei Sawada
wiley +1 more source
SMAXI is a fully open‐source, GPU‐accelerated software platform that integrates state‐of‐the‐art machine learning and large language model techniques into a unified workflow for X‐ray image analysis. SMAXI simplifies high‐throughput data processing workflows and overcomes manual image analysis bottlenecks.Full‐field X‐ray imaging techniques using ...
Dukyong Kim, Tao Sun
wiley +1 more source

