Quobly and Taiwan’s Hon Hai Research Institute officially announced the release of a joint Quantum Phase Estimation (QPE) Toolbox on May 2026. The goal of this cooperative project is to give researchers and developers a solid numerical platform to investigate and improve one of the most fundamental algorithms in the search of fault-tolerant quantum computing.
As the industry transitions from experimental “toy models” to useful, industrial-scale applications, the toolbox reaches a pivotal point. The partners hope to promote a cooperative atmosphere that closes the gap between theoretical quantum physics and practical application by making this material open-source.
You can also read Entropica Labs and Quobly Partner on Fault-Tolerant Quantum
Bridging the Gap Between Theory and Practice
The quantum phase estimation to be the “gateway” approach for large-scale quantum systems in the future. Its ability to carry out extremely accurate computations involving molecule structures, material simulations, and challenging quantum chemistry problems is what makes it so valuable. The industry has long struggled with “realistic resource estimates” and the computational complexity of replicating QPE beyond small-scale examples, despite the well-documented theoretical features of QPE.
By providing a useful setting for investigating QPE implementations and their resource consequences, the recently published toolbox tackles these issues. It focuses on the practical implementation constraints that researchers encounter when attempting to attack a compromise between the limitations of present and near-future hardware and circuit complexity. The objective is to provide a “numerical playground” that enables researchers to go beyond just theoretical models and acquire a more realistic sense for how fault-tolerant algorithms would behave in practice, according to Thibaud Louvet, Quantum Algorithms Scientist at Quobly.
You can also read SEALSQ and Quobly Quantum Investment plans prior to Series A
A Technical Examination of the QPE Process
The toolbox, which is based on advanced tensor-network algorithms, enables effective modeling and simulation of quantum circuits. The entire range of a quantum workflow is covered by its modular design, which includes:
- Chemistry Preprocessing: Interfacing with standard tools like PySCF.
- Initial State Preparation: Physically motivated states are prepared using matrix product states and the Density Matrix Renormalization Group (DMRG).
- Hamiltonian Encoding: The process of converting molecular Hamiltonians into quantum circuits using techniques such as block-encoding or trotterization.
- Resource Analysis: The process of assessing gate counts, circuit depth, and error sources without having to run on actual hardware right away.
With gate counts ranging from 1,000 to 100,000, the toolbox can handle entire circuit executions for roughly 10–20 qubits. It can handle systems up to 20–30 qubits for ground state preparation and Hamiltonian encoding, frequently in a matter of hours on a typical laptop. By enabling researchers to examine alternatives between precision and circuit depth without the need for a multimillion-dollar supercomputer or a real quantum processor, this degree of accessibility is meant to simplify quantum research.
You can also read Netherlands TNO and Quobly for Future of Silicon Spin Qubits
Strategic Collaboration: Quobly and Hon Hai
The collaboration is indicative of an increasing tendency in the industry toward co-designing algorithms and hardware. Instead of creating hardware and software separately, Quobly and the Hon Hai Research Institute are trying to optimize both at the same time to guarantee greater efficiency and scalability.
Quobly, a spin-off of CEA-Leti and CNRS, is a leader in silicon-based quantum computing. It uses semiconductor fabrication processes to make scalable and economical quantum processors. Quobly seeks to use semiconductor fabrication to make scalable, affordable quantum processors. The company’s leadership, which includes Tristan Meunier and CEO Maud Vinet, brings decades of experience in microelectronics and quantum physics to the table. To further its Q100T initiative, Quobly has also obtained substantial support, including a €19 million seed round in 2023 and an additional €21 million in 2025.
Conversely, the Hon Hai Technology Group (Foxconn) relies on the Hon Hai Research Institute as its technological engine. The institute, which was established in 2020, is essential to Foxconn’s transition from a manufacturing giant to a technological innovator (“brains”). Researchers may “better understand the practical requirements of future quantum applications” with the help of the toolkit, according to Min-Hsiu Hsieh, Director of the institute’s Quantum Computing Research Center.
You can also read SEALSQ and Quobly Partner To Build Secure Quantum Platform
The Path to Scalable Silicon Quantum Computing
The Quobly platform’s use of silicon qubits that are compatible with semiconductors is one of its main advantages. Quobly thinks it can avoid the specialized manufacturing bottlenecks that afflict other quantum designs since these qubits can be produced using the same established infrastructure utilized for modern transistors. The company’s ambitious vision, which seeks to produce datacenter-ready quantum computers and surpass the one-million-qubit milestone by the early 2030s, depends on this compatibility.
Quobly and STMicroelectronics announced a strategic relationship in late 2024 with the goal of industrializing these silicon processors using FD-SOI semiconductor techniques. This industrial focus guarantees that the tools being built now, such as the QPE Toolbox, are immediately applicable to the hardware that will later serve the logistics, medical, and financial industries.
Fostering an Open Ecosystem for the Future
The partners are inviting the world community to contribute to the development of the QPE Toolbox by making it available on GitHub. Compressed fermionic encodings and variational circuit synthesis are anticipated future developments. The collaborative paradigms that fueled the explosive rise of artificial intelligence and classical computing are reflected in this open-source ideology.
Tools that make resource management and algorithm optimization easier are becoming essential as worldwide investment in quantum technology keeps growing, especially in Europe where technical sovereignty is a top priority. The QPE Toolbox is an essential step in making fault-tolerant systems usable and accessible for the upcoming generation of scientific discovery, even while it is not a “magic bullet” for every problem the field faces.
You can also read SEALSQ Corp, Quobly to build scalable Post-quantum computing
