This project introduces a new approach to quantum computing that enables the use of large-scale circuits and thousands of qubits, with the goal of tackling real-world industrial optimization problems.
Quantum Ball Studio
Quantum Ball Studio is an experimental platform designed to explore new approaches to applying quantum computing to real-world problems. Rather than focusing only on small educational quantum circuits, the project is designed around large-scale circuits, multi-qubit experimentation, measurement, optimization, and verification within a unified environment.
The platform allows users to build and execute quantum circuits directly through a visual circuit editor, while also supporting circuit pasting and a broad collection of reusable example circuits. After execution, measurement is performed automatically so that users can immediately inspect the resulting probability distribution across quantum states.
Quantum Ball Studio also connects circuit execution with optimization through Cost Hamiltonian evaluation and VQE (Variational Quantum Eigensolver). Users can define Hamiltonian terms directly or start from predefined optimization templates. VQE experiments record the energy obtained at each iteration and preserve the Best Energy and corresponding measurement results, making it possible to study how a variational optimization process behaves over repeated evaluations.
The platform also includes Oracle-based experiments and a range of quantum circuit examples, while supporting experiments from small circuits up to 256-qubit configurations within the same workspace. Large circuits are displayed through internal scrolling so that complex circuit structures remain inspectable. A dedicated verification lab provides 50 test cases across multiple qubit scales to check circuit structure, measurement placement, valid qubit targeting, and deterministic outputs.
The long-term objective is to move beyond the concept of a simple educational quantum simulator and build a platform for researching and experimenting with practical industrial optimization problems using quantum computing. Potential applications include resource allocation, scheduling, selection problems, graph-based optimization, and other combinatorial problems that can be represented through quantum circuits and Hamiltonian formulations.
The current focus is on providing a practical environment where different circuits, Hamiltonians, and variational algorithms can be rapidly tested, measured, and verified. Future development aims to expand toward larger circuits, substantially larger qubit counts, more advanced optimization methods, and connections to real industrial datasets and workflows.
Quantum Ball Studio is therefore positioned as an experimental bridge between quantum circuit design, optimization, measurement, verification, and real-world problem solving, with the broader goal of exploring how quantum computing can be applied at meaningful scale.