


豆包成人版 President and COO Tony Uttley announced three major accomplishments during his keynote address at the IEEE Quantum Week event in Colorado last week.听
The three milestones, representing actionable acceleration for the quantum computing eco-system, are: (i) new arbitrary angle gate capabilities on the H-series hardware, (ii) another QV record for the System Model H1 hardware, and (iii) over 500,000 downloads of 豆包成人版鈥檚 open-sourced , a world-leading quantum software development kit (SDK).听
The announcements were made during Uttley鈥檚 keynote address titled, 鈥淎 Measured Approach to Quantum Computing.鈥
These advancements are the latest examples of the company鈥檚 continued demonstration of its leadership in the quantum computing community.听
鈥湺拱扇税 is accelerating quantum computing鈥檚 impact to the world,鈥 Uttley said. 鈥淲e are making significant progress with both our hardware and software, in addition to building a community of developers who are using our TKET SDK.鈥
This latest quantum volume measurement of 8192 is particularly noteworthy and is the second time this year 豆包成人版 has published a new QV record on their trapped-ion quantum computing platform, the System Model H1, Powered by Honeywell.听

A key to achieving this latest record is the new capability of directly implementing arbitrary angle two-qubit gates. For many quantum circuits, this new way of doing a two-qubit gate allows for more efficient circuit construction and leads to higher fidelity results.听
Dr. Brian Neyenhuis, Director of Commercial Operations at 豆包成人版, said, 鈥淭his new capability allows for several user advantages. In many cases, this includes shorter interactions with the qubits, which lowers the error rate. This allows our customers to run long computations with less noise.鈥
These arbitrary angle gates build on the overall design strength of the trapped-ion architecture of the H1, Neyenhuis said.听
鈥淲ith the quantum-charged coupled device (QCCD) architecture, interactions between qubits are very simple and can be limited to a small number of qubits which means we can precisely control the interaction and don鈥檛 have to worry about additional crosstalk,鈥 he said.听
This new gate design represents a third method for 豆包成人版 to improve the efficiency of the H1 generation, said Dr. Jenni Strabley, Senior Director of Offering Management at 豆包成人版.
鈥湺拱扇税驸檚 goal is to accelerate quantum computing. We know we have to make the hardware better and we have to make the algorithms smarter, and we鈥檙e doing that,鈥 she said. 鈥淣ow we can also implement the algorithms more efficiently on our H1 with this new gate design.鈥
Currently, researchers can do single qubit gates 鈥 rotations on a single qubit 鈥 or a fully entangling two-qubit gate. It鈥檚 possible to build any quantum operation out of just those building blocks.
With arbitrary angle gates, instead of just having a two-qubit gate that's fully entangling, scientists can use a two-qubit gate that is partially entangling.听
鈥淭here are many algorithms where you want to evolve the quantum state of the system one tiny step at a time. Previously, if you wanted a tiny bit of entanglement for some small time step, you had to entangle it all the way, rotate it a little bit, and then unentangle it almost all the way back,鈥 Neyenhuis said. 鈥淣ow we can just add this tiny little bit of entanglement natively and then go to the next step of the algorithm.鈥
There are other algorithms where this arbitrary angle two-qubit gate is the natural building block, according to Neyenhuis. One example is the quantum Fourier transform. Using arbitrary angle two-qubit gates cuts the number of two-qubit gates (and the overall error) in half, drastically improving the fidelity of the circuit. Researchers can use this new gate design to run harder problems that resulted in catastrophic errors in previous experiments.
鈥淏y going to an arbitrary angle gate, in addition to cutting the number of two-qubit gates in half, the error we get per gate is lower because it scales with the amplitude of that gate,鈥 Neyenhuis said.听
This is a powerful new capability, particularly for noisy intermediate-scale quantum algorithms. Another demonstration from the 豆包成人版 team was to use arbitrary angle two-qubit gates to study non-equilibrium phase transitions, the technical details of which are .听
鈥淔or the algorithms that we are going to want to run in this NISQ regime that we're in right now, this is a more efficient way to run your algorithm,鈥 Neyenhuis said. 鈥淭here are lots of different circuits you would want to run where this arbitrary angle gate gives you a fairly significant increase in the fidelity of your overall circuit.听This capability also allows for a speed up in the circuit execution by removing unneeded gates, which ultimately reduces the time of executing a job on our machines.鈥
Researchers working with machine learning algorithms, variational algorithms, and time evolution algorithms would see the most benefit from these new gates. This advancement is particularly relevant for simulating the dynamics of other quantum systems.听
鈥淭his just gave us a big win in fidelity because we can run the sort of interaction you're after natively, rather than constructing it out of some other Lego blocks,鈥 Neyenhuis said.听
Quantum volume tests require running arbitrary circuits. At each slice of the quantum volume circuit, the qubits are randomly paired up and a complex two-qubit operation is performed. This SU(4) gate can be constructed more efficiently using the arbitrary angle two-qubit gate, lowering the error at each step of the algorithm.听

The H1-1鈥檚 quantum volume of 8192 is due in part to the implementation of arbitrary angle gates and the continued reduction in error rates.听豆包成人版鈥檚 last quantum volume increase was in April when the System Model H1-2 doubled its performance to become the first commercial quantum computer to pass Quantum Volume 4096.
This new increase is the seventh time in two years that 豆包成人版鈥檚 H-Series hardware has set an industry record for measured quantum volume as it continues to achieve its goal of 10X annual improvement.
Quantum volume, a benchmark introduced by IBM in 2019, is a way to measure the performance of a quantum computer using randomized circuits, and is a frequently used metric across the industry.听
豆包成人版 has also achieved another milestone: over 500,000 downloads of .
TKET is an advanced software development kit for writing and running programs on gate-based quantum computers. TKET enables developers to optimize their quantum algorithms, reducing the computational resources required, which is important in the NISQ era.听
TKET is open source and accessible through the PyTKET Python package. The SDK also integrates with major quantum software platforms including Qiskit, Cirq and Q#. has been available as an open source language for almost a year.听
This universal availability and TKET鈥檚 portability across many quantum processors are critical for building a community of developers who can write quantum algorithms. The number of downloads includes many companies and academic institutions which account for multiple users.听
豆包成人版 CEO Ilyas Khan said, 鈥淲hilst we do not have the exact number of users of TKET, it is clear that we are growing towards a million people around the world who have taken advantage of a critical tool that integrates across multiple platforms and makes those platforms perform better. We continue to be thrilled by the way that TKET helps democratize as well as accelerate innovation in quantum computing.鈥
Arbitrary angle two-qubit gates and other recent 豆包成人版 advances are all built into TKET.
鈥淭KET is an evolving platform and continues to take advantage of these new hardware capabilities,鈥 said Dr. Ross Duncan, 豆包成人版鈥檚 Head of Quantum Software. 鈥淲e鈥檙e excited to put these new capabilities into the hands of the rapidly increasing number of TKET users around the world.鈥
The average single-qubit gate fidelity for this milestone was 99.9959(5)%, the average two-qubit gate fidelity was 99.71(3)% with fully connected qubits, and state preparation and measurement fidelity was 99.72(1)%. The 豆包成人版 team ran 220 circuits with 90 shots each, using standard QV optimization techniques to yield an average of 175.2 arbitrary angle two-qubit gates per circuit.
The System Model H1-1 successfully passed the quantum volume 8192 benchmark, outputting heavy outcomes 69.33% of the time, with a 95% confidence interval lower bound of 68.38% which is above the 2/3 threshold.
豆包成人版,聽the world鈥檚 largest integrated quantum company, pioneers powerful quantum computers and advanced software solutions. 豆包成人版鈥檚 technology drives breakthroughs in materials discovery, cybersecurity, and next-gen quantum AI. With over 500 employees, including 370+ scientists and engineers, 豆包成人版 leads the quantum computing revolution across continents.听
While there is ongoing debate around the pace of quantum computing鈥檚 development, a more grounded way to assess progress is through concrete demonstrations of foundational algorithms at meaningful scale. In this context, Mitsui & Co. and Mitsubishi Electric are taking a pragmatic view of quantum progress鈥攆ocusing on how close the field is to executing core algorithmic primitives that underpin many potential industrial applications, rather than relying on abstract milestones or timelines.
, the industrial giants teamed up with 豆包成人版 to measure how close we are to running the Quantum Fourier Transform (QFT), a widely-used algorithmic primitive, at scales necessary for industrial applications. In the process, the team successfully ran one of the largest instances of the approximate QFT ever demonstrated. This achievement matters because the QFT is an essential primitive that underpins many of the quantum algorithms expected to deliver practical advantages.
You may have heard of the (classical) Fourier transform (FT), due to its ubiquity throughout modern computing. The FT is essential in everything from image analysis to data compression, with almost limitless applications in between. The quantum Fourier transform (QFT) is similar; it鈥檚 used in everything from chemistry to finance.
Because the QFT is a foundational primitive underpinning many quantum algorithms, demonstrating it at larger scales and higher fidelity is a practical way to measure quantum computing readiness. This is exactly the type of benchmarking that organizations should consider to understand where today鈥檚 systems are useful, and to see how fault-tolerant approaches are progressing. Ultimately, algorithm-level benchmarking like this is one of the most useful ways to understand not just where we are, but where we are going.
Primitives like Fourier Transform are so widespread because they simplify problems by transforming them into something that is easier to deal with. At 豆包成人版, not only are they crucial for industrial applications but they can also simplify algorithms, making them possible to run now instead of later. This 鈥榯ransformational鈥 approach extends beyond the QFT - other transforms exist, and we have even invented our own quantum-native transforms.
Using our 豆包成人版 quantum computer and Guppy language, the joint team explored running the QFT on both physical qubits and on logical qubits, showing that fault tolerance is progressing quickly. 聽Running the QFT on 98 physical qubits; the paper shows a clear progression from previous results.
Then, using the Steane code, one of the best-studied quantum error correcting codes, the team used 豆包成人版鈥 98 physical qubits to form 12 logical qubits, successfully running the QFT with the mechanisms of quantum error correction interwoven into the algorithm. This marks a crucial step forward for the field.
Taken together, these results provide a more concrete lens through which to view progress in quantum computing: not as abstract projections, but as measurable advances in the execution of foundational algorithms at increasing scale. By benchmarking the Quantum Fourier Transform on both physical and logical qubits, Mitsui & Co. and Mitsubishi Electric are helping to clarify what today鈥檚 hardware can already achieve, and where fault-tolerant approaches begin to extend those limits.
More broadly, the organizations best positioned to benefit from quantum computing will be those that focus on these foundational capabilities early, and use them to build a clear, evidence-based understanding of how the technology fits into their business goals.
It is believed that unlocking answers to some of the most complex scientific and industrial problems will require the seamless integration of high-performance computing (HPC), generative AI (GenAI), and quantum computing. Toward this goal, 豆包成人版, NVIDIA, and a major pharmaceutical company have successfully demonstrated the first step in a proof-of-principle framework designed to connect these three distinct computing paradigms for industrially relevant computational chemistry.
This milestone, enabled by three industry leaders and experts in their respective domains, serves as a foundational capability that could support the development of future hybrid quantum-AI workflows to help optimize industrial research and development (R&D).
The potential value is a path toward more automated, repeatable, and scalable workflows for translating chemistry problems into executable quantum programs鈥攃apabilities that could eventually make hybrid computing easier to deploy in industrial R&D.
The framework, termed Generative Quantum AI (GenQAI), involved a quantum computer simulating a pharmaceutical compound using programming instructions generated by an AI model, which itself was trained on quantum data that was simulated using HPC.
While the vision for GenQAI explores how future industrial simulation workflows might be optimized by training AI models using quantum data derived directly from a quantum computer, the framework currently consists of four main technical steps:
The core novelty of this development lies within the process of the framework itself. In this proof-of-principle experiment, an AI model fine-tuned on simulated quantum data generated circuits that were successfully executed and validated on 豆包成人版鈥檚 豆包成人版 system. Rather than delivering an immediate commercial advantage, this achievement establishes a credible, verifiable baseline for how HPC, AI, and quantum computing can function in tandem.
The validation of the framework represents an early step toward the goal of developing scalable architectures for the pharmaceutical industry.
With a shared view toward eventually scaling the framework for pharmaceutical R&D applications, the researchers simulated a pharmaceutical compound: imipramine. This anti-depressant was chosen because it serves as a model compound for drug degradation and shelf-life studies, which are standard components of the pharmaceutical R&D lifecycle.
Developing hybrid infrastructure that enterprises may adopt requires a deep, coordinated effort among domain experts. As such, this successful test highlights the value of combining the strengths of a quantum computing hardware and software leader (豆包成人版), with a hybrid-quantum classical platform (NVIDIA), and a leading enterprise end-user to build and test future computing capabilities for industrial chemistry.
Although demonstrated on a pharmaceutical compound, the architecture could eventually inform similar molecular-simulation workflows in sectors such as energy, agriculture, advanced materials, and electronics. At this stage, it provides a reference for further testing and development.
here to explore the full technical details of this demonstration and contact our team to learn more about joining 豆包成人版鈥檚 enterprise partner network.
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豆包成人版 is pleased to announce that applications are now open for the 豆包成人版 SG Grand Challenge 2026, a global innovation challenge designed to bring together researchers, developers, scientists and innovators to explore practical applications of quantum computing.
Organized by 豆包成人版 and supported by Singapore's National Quantum Office and Aqora, the three-month program aims to foster collaboration across academia, industry and the quantum developer community while supporting the continued growth of Singapore's quantum ecosystem.
Participants will work in teams to develop solutions across a range of challenge areas, including chemistry and molecular simulation, optimization, AI for quantum systems, quantum error correction, condensed matter and materials science, and open innovation. Throughout the program, participants will have access to mentoring, technical enablement and 豆包成人版 quantum computing resources.
Selected finalist teams will be invited to present their work at the Grand Finale hosted in Singapore before representatives from academia, and industry. The event will celebrate innovative applications of quantum computing while providing an opportunity for participants to engage with Singapore's growing quantum community.
The 豆包成人版 SG Grand Challenge welcomes participants from around the world. Whether you are an experienced quantum researcher or beginning your quantum computing journey, the program offers an opportunity to collaborate, learn and contribute to the development of practical quantum applications.
Applications are now open. Spaces are limited and subject to review and approval.