Since 2021, Qblox has been a vital partner in our mission to build a 100-qubit quantum computer for Swedish industry. Their robust, scalable control system delivers outstanding analog performance allowing us to push quantum boundaries without hardware limitations. Qblox excels in how quickly we achieve results. With unparalleled channel synchronization and fast real-time feedback, we can fully tune up our 20-qubit systems in under 30 minutes using our automated parallel qubit tune-up software, built on their Quantify framework. Their exceptional support and deep technical engagement help us maximize their hardware’s potential. This level of performance and partnership is exactly what we need to stay at the forefront.

Switching to Qblox for our quantum memory control hardware has significantly improved our workflow. Its clear Python integration and fast compilation allow us to modify experimental parameters in real time. This has enabled us to replace manual optimization with a machine learning algorithm, saving time and making it easier to explore new ideas.

Qblox offers an intuitive platform for running our experiments. Its speed for conditional operation, and code simplicity makes it ideal for complex experiments involving many coordinated components.

We use the Qblox control stack in our lab to improve and simplify our quantum networking setups, to enable my students to get to results faster. By integrating RF and MW signal generation, coincidence detection, and timetagging, the Qblox Cluster allows me to replace 4 pieces of equipment with a single blue box. Within the Quantum Internet Alliance, my team and the Qblox team worked together on developing and testing the Qubit Timetag Module, an essential piece of equipment for the readout of color centers. The Qblox team offers excellent support with very fast response times. This enables us to use the equipment in the best way for our experiments. I am excited to continue working together and push my state-of-the-art research with Qblox's integrated and easy-to-use solution.

My impression of both the (remote) pre-sales and (in-person) after-sales meetings was very positive. The meetings before the purchase really helped us to get to know the features and directly ask questions. For our decision making it was crucial to know that we could get the required features for our current and future experiments. After the purchase, it was really great to meet the team personally in Munich and I hope all the future customers also get this chance. They are very proactive and super easy to talk to. Being able to ask specific, detailed questions in person was very helpful because usually one would need to go deep into the documentation, which means it is easy to miss important information.

The Qblox cluster is easy and straightforward to configure, even for a large superconducting quantum processor. The Qblox support team is always ready to address customer concerns and help users explore the hardware in detail to achieve the best results. Qblox electronics stand out for their compactness, design, and scalability, giving us the flexibility to configure various aggregates of quantum gates for different algorithms running in parallel on more qubits of the chip.

Qblox cluster is certainly one of the most important elements in our new spin qubit lab. The easy-to-use and compact system allows us to set up a spin qubit control system within a couple of hours. We have used it for the RF reflectometry readout of our first in-house quantum dot! I look forward to getting more exciting results by using the Qblox cluster. What I also appreciate is the good communication and friendship between Qblox and the customers.

I've been impressed by the technical background and helpful attitude of the team we have supporting us. They are always fast to respond, really helpful and give thoughtful answers. It's fantastic.

SCALINQ's vision of developing scalable, plug-and-research solutions goes hand-in-hand with Qblox modular control electronics, and we are happy to partner with them and provide researchers with compatible, high-performing systems.

Our ambition is two-fold, to both provide reliable quantum gate-based systems to customers and to unlock the potential of coherent quantum annealing. For that we need a partner that can support us on this demanding path to elevate our developments. Qblox enables us with a future-proof solution to address the growing needs of the full-stack quantum computing market. Their modular architecture allows us to reconfigure setups seamlessly between various projects, without losing synchronization and stability. Reliable electronics and high precision signals saves us time to focus our effort to perfect our own developments. We are impressed by their constant support that makes us feel like they work next door to our lab and has many times helped our team solving the many challenges we face at integrating electronics control into our systems.

Our group strives to be at the forefront of spin qubit research, and Qblox allows us to spend our time on discussing physics rather than fixing problems on experimental setups. They provide control electronics with excellent analog performance that we can rely on to manipulate our qubits with high precision. Furthermore, programming and executing complex waveforms can be accomplished with minimal experimental overheads. Finally, Qblox’ solution is compact, their pricing is very competitive and their engineers offer outstanding service and advice.

When we started QuantrolOx in 2022, we needed a trustworthy hardware partner to enable our vision. To have our back. Qblox has been by our side by providing us with qubit-agnostic control electronics. Our vision of automating fast characterization and tuning of qubits meant we needed hardware with ultra-low latency and state-of-the-art features. The SYNQ & LINQ communication protocols of the Qblox Cluster enabled our vision for fast parallel characterization. We are proud of our working relationship with Qblox and highly recommend the team for their professionalism and innovative approach to tackling the challenges faced by experimental scientists in quantum computing.