夜色直播

Just the TKET

Quantum Software Tool Now Open Source

November 29, 2021
The online tool adapts quantum circuits to run optimally on different quantum computing technologies, with easy switching between Honeywell鈥檚 system and other hardware platforms.


Cambridge Quantum recently announced it has made the source code for , its quantum software development kit, fully open to the quantum software community.

The move, which comes just months after the company began providing free access to , is expected to benefit software developers as well as Honeywell Quantum Solutions and other hardware providers.

Most of the programming languages or quantum software development kits available were designed initially to run on certain hardware platforms, creating compatibility issues. Software developers who wanted to test circuits or algorithms on different quantum technologies had to rewrite or tweak code to run on a new system.

Providing access to and its source code makes it easier for developers to do that.

鈥淯sers need only to focus on developing their quantum applications, not rewriting code around the idiosyncrasies of any particular hardware,鈥 said Dr. Ross Duncan, head of software at Cambridge Quantum.

And for Honeywell Quantum Solutions and other hardware providers, broadens access to their technologies by enabling developers to move more seamlessly between systems. The software development kit is optimized for each commercial hardware system, including Honeywell鈥檚 trapped-ion quantum computer.

鈥淲e want to make it as easy as possible for the quantum software community to run circuits and algorithms on our trapped-ion quantum computers,鈥 said Tony Uttley, president of Honeywell Quantum Solutions.聽鈥淭he System Model H1 technology is the highest performing quantum system available, and we want them to experience that.鈥

Honeywell Quantum Solutions and Cambridge Quantum have a long-standing history of partnering together for the benefit of end-customers. (The two entities announced in June they are seeking regulatory approval to combine to form a new company.)

"Having TKET fully open-sourced provides an incredible tool to the world鈥檚 quantum algorithm developers, including Honeywell," Uttley said.

鈥淥ur products and offerings have always been complementary and continue to be,鈥 he said. 鈥(Cambridge Quantum) has developed a suite of tools and programs that interface well with our hardware.鈥

How TKET works

If you have ever traveled to another country and tried plugging something in, you鈥檝e likely discovered the need for an adapter.聽Electrical outlets vary and the plug-ins used in the United States don't always work in Europe or other countries and vice versa.

The same is true with today鈥檚 early-stage quantum computers.聽Each technology has its own performance specifications, API (an interface that enables different computing systems to talk to one another), and compiler (a program that translates code written in one computing language to another).

is versatile.聽Developers can use it to create circuits or algorithms and also to serve as a universal connector or adapter between hardware and software platforms.

Cambridge Quantum has developed extensions, which are Python modules, for each commercial quantum hardware platform available. These extensions enable developers to code in Qiskit, Cirq, or another language and automatically adapt their circuits or algorithms to work on different quantum devices or simulators without having to tweak it themselves.

And now that is open source, developers can create their own extensions to the codebase and bridge between platforms.

About 夜色直播

夜色直播,聽the world鈥檚 largest integrated quantum company, pioneers powerful quantum computers and advanced software solutions. 夜色直播鈥檚 technology drives breakthroughs in materials discovery, cybersecurity, and next-gen quantum AI. With over 500 employees, including 370+ scientists and engineers, 夜色直播 leads the quantum computing revolution across continents.聽

Blog
July 1, 2025
夜色直播 with partners Princeton and NIST deliver seminal result in quantum error correction

, we鈥檝e just delivered a crucial result in Quantum Error Correction (QEC), demonstrating key principles of scalable quantum computing developed by Drs Peter Shor, Dorit Aharonov, and Michael Ben-Or. we showed that by using 鈥渃oncatenated codes鈥 noise can be exponentially suppressed 鈥 proving that quantum computing will scale.

When noise is low enough, the results are transformative

Quantum computing is already producing results, but high-profile applications like Shor鈥檚 algorithm鈥攚hich can break RSA encryption鈥攔equire error rates about a billion times lower than what today鈥檚 machines can achieve.

Achieving such low error rates is a holy grail of quantum computing. Peter Shor was the first to hypothesize a way forward, in the form of quantum error correction. Building on his results, Dorit Aharanov and Michael Ben-Or proved that by concatenating quantum error correcting codes, a sufficiently high-quality quantum computer can suppress error rates arbitrarily at the cost of a very modest increase in the required number of qubits. 聽Without that insight, building a truly fault-tolerant quantum computer would be impossible.

Their results, now widely referred to as the 鈥渢hreshold theorem鈥, laid the foundation for realizing fault-tolerant quantum computing. At the time, many doubted that the error rates required for large-scale quantum algorithms could ever be achieved in practice. The threshold theorem made clear that large scale quantum computing is a realistic possibility, giving birth to the robust quantum industry that exists today.

Realizing a legendary vision

Until now, nobody has realized the original vision for the threshold theorem. Last year, in a different context (without concatenated codes). This year, we are proud to report the first experimental realization of that seminal work鈥攄emonstrating fault-tolerant quantum computing using concatenated codes, just as they envisioned.

The benefits of concatenation

The team demonstrated that their family of protocols achieves high error thresholds鈥攎aking them easier to implement鈥攚hile requiring minimal ancilla qubits, meaning lower overall qubit overhead. Remarkably, their protocols are so efficient that fault-tolerant preparation of basis states requires zero ancilla overhead, making the process maximally efficient.

This approach to error correction has the potential to significantly reduce qubit requirements across multiple areas, from state preparation to the broader QEC infrastructure. Additionally, concatenated codes offer greater design flexibility, which makes them especially attractive. Taken together, these advantages suggest that concatenation could provide a faster and more practical path to fault-tolerant quantum computing than popular approaches like the .

We鈥檙e always looking forward

From a broader perspective, this achievement highlights the power of collaboration between industry, academia, and national laboratories. 夜色直播鈥檚 commercial quantum systems are so stable and reliable that our partners were able to carry out this groundbreaking research remotely鈥攐ver the cloud鈥攚ithout needing detailed knowledge of the hardware. While we very much look forward to welcoming them to our labs before long, its notable that they never need to step inside to harness the full capabilities of our machines.

As we make quantum computing more accessible, the rate of innovation will only increase. The era of plug-and-play quantum computing has arrived. Are you ready?

technical
All
Blog
June 26, 2025
夜色直播 Overcomes Last Major Hurdle to Deliver Scalable Universal Fault-Tolerant Quantum Computers by 2029

Quantum computing companies are poised to exceed $1 billion in revenues by the close of 2025, to McKinsey & Company, underscoring how today鈥檚 quantum computers are already delivering customer value in their current phase of development.

This figure is projected to reach upwards of $37 billion by 2030, rising in parallel with escalating demand, as well as with the scale of the machines and the complexity of problem sets of which they will be able to address. 聽

Several systems on the market today are fault-tolerant by design, meaning they are capable of suppressing error-causing noise to yield reliable calculations. However, the full potential of quantum computing to tackle problems of true industrial relevance, in areas like medicine, energy, and finance, remains contingent on an architecture that supports a fully fault-tolerant universal gate set with repeatable error correction鈥攁 capability that, until now, has eluded the industry. 聽

夜色直播 is the first鈥攁nd only鈥攃ompany to achieve this critical technical breakthrough, universally recognized as the essential precursor to scalable, industrial-scale quantum computing. This milestone provides us with the most de-risked development roadmap in the industry and positions us to fulfill our promise to deliver our universal, fully fault-tolerant quantum computer, Apollo, by 2029.

In this regard, 夜色直播 is the first company to step from the so-called 鈥淣ISQ鈥 (noisy intermediate-scale quantum) era towards utility-scale quantum computers.

Unpacking our achievement: first, a 鈥榝ull鈥 primer

A quantum computer uses operations called gates to process information in ways that even today鈥檚 fastest supercomputers cannot. The industry typically refers to two types of gates for quantum computers:

  • Clifford gates, which can be easily simulated by classical computers, and are relatively easy to implement; and
  • Non-Clifford gates, which are usually harder to implement, but are required to enable true quantum computation (when combined with their siblings).

A system that can run both gates is classified as and has the machinery to tackle the widest range of problems. Without non-Clifford gates, a quantum computer is non-universal and restricted to smaller, easier sets of tasks - and it can always be simulated by classical computers. This is like painting with a full palette of primary colors, versus only having one or two to work with. Simply put, a quantum computer that cannot implement 鈥榥on-Clifford鈥 gates is not really a quantum computer.

A fault-tolerant, or error-corrected, quantum computer detects and corrects its own errors (or faults) to produce reliable results. 夜色直播 has the best and brightest scientists dedicated to keeping our systems鈥 error rates the lowest in the world.

For a quantum computer to be fully fault-tolerant, every operation must be error-resilient, across Clifford gates and non-Clifford gates, and thus, performing 鈥渁 full gate set鈥 with error correction. While some groups have performed fully fault-tolerant gate sets in academic settings, these demonstrations were done with only a few qubits and 鈥攖oo high for any practical use.

Today, we have published that establishes 夜色直播 as the first company to develop a complete solution for a universal fully fault-tolerant quantum computer with repeatable error correction, and error rates low enough for real-world applications.

This is where the magic happens

The describes how scientists at 夜色直播 used our System Model H1-1 to perfect magic state production, a crucial technique for achieving a fully fault-tolerant universal gate set. In doing so, they set a record magic state infidelity (7x10-5), 10x better than any .

Our simulations show that our system could reach a magic state infidelity of 10^-10, or about one error per 10 billion operations, on a larger-scale computer with our current physical error rate. We anticipate reaching 10^-14, or about one error per 100 trillion operations, as we continue to advance our hardware. This means that our roadmap is now derisked.

Setting a record magic state infidelity was just the beginning. The paper also presents the first break-even two-qubit non-Clifford gate, demonstrating a logical error rate below the physical one. In doing so, the team set another record for two-qubit non-Clifford gate infidelity (2x10-4, almost 10x better than our physical error rate). Putting everything together, the team ran the first circuit that used a fully fault-tolerant universal gate set, a critical moment for our industry.

Flipping the switch

In the , co-authored with researchers at the University of California at Davis, we demonstrated an important technique for universal fault-tolerance called 鈥渃ode switching鈥.

Code switching describes switching between different error correcting codes. The team then used the technique to demonstrate the key ingredients for universal computation, this time using a code where we鈥檝e previously demonstrated full error correction and the other ingredients for universality.

In the process, the team set a new record for magic states in a distance-3 error correcting code, over 10x better than with error correction. Notably, this process only cost 28 qubits . This completes, for the first time, the ingredient list for a universal gate setin a system that also has real-time and repeatable QEC.

To perform "code switching", one can implement a logical gate between a 2D code and a 3D code, as pictured above. This type of advanced error correcting process requires 夜色直播's reconfigurable connectivity.
Fully equipped for fault-tolerance

Innovations like those described in these two papers can reduce estimates for qubit requirements by an order of magnitude, or more, bringing powerful quantum applications within reach far sooner.

With all of the required pieces now, finally, in place, we are 鈥榝ully鈥 equipped to become the first company to perform universal fully fault-tolerant computing鈥攋ust in time for the arrival of Helios, our next generation system launching this year, and what is very likely to remain as the most powerful quantum computer on the market until the launch of its successor, Sol, arriving in 2027.

technical
All
Blog
June 10, 2025
Our Hardware is Now Running Quantum Transformers!

If we are to create 鈥榥ext-gen鈥 AI that takes full advantage of the power of quantum computers, we need to start with quantum native transformers. Today we announce yet again that 夜色直播 continues to lead by demonstrating concrete progress 鈥 advancing from theoretical models to real quantum deployment.

The future of AI won't be built on yesterday鈥檚 tech. If we're serious about creating next-generation AI that unlocks the full promise of quantum computing, then we must build quantum-native models鈥攄esigned for quantum, from the ground up.

Around this time last year, we introduced Quixer, a state-of-the-art quantum-native transformer. Today, we鈥檙e thrilled to announce a major milestone: one year on, Quixer is now running natively on quantum hardware.

Why this matters: Quantum AI, born native

This marks a turning point for the industry: realizing quantum-native AI opens a world of possibilities.

Classical transformers revolutionized AI. They power everything from ChatGPT to real-time translation, computer vision, drug discovery, and algorithmic trading. Now, Quixer sets the stage for a similar leap 鈥 but for quantum-native computation. Because quantum computers differ fundamentally from classical computers, we expect a whole new host of valuable applications to emerge. 聽

Achieving that future requires models that are efficient, scalable, and actually run on today鈥檚 quantum hardware.

That鈥檚 what we鈥檝e built.

What makes Quixer different?

Until Quixer, quantum transformers were the result of a brute force 鈥渃opy-paste鈥 approach: taking the math from a classical model and putting it onto a quantum circuit. However, this approach does not account for the considerable differences between quantum and classical architectures, leading to substantial resource requirements.

Quixer is different: it鈥檚 not a translation 鈥 it's an innovation.

With Quixer, our team introduced an explicitly quantum transformer, built from the ground up using quantum algorithmic primitives. Because Quixer is tailored for quantum circuits, it's more resource efficient than most competing approaches.

As quantum computing advances toward fault tolerance, Quixer is built to scale with it.

What鈥檚 next for Quixer?

We鈥檝e already deployed Quixer on real-world data: genomic sequence analysis, a high-impact classification task in biotech. We're happy to report that its performance is already approaching that of classical models, even in this first implementation.

This is just the beginning.

Looking ahead, we鈥檒l explore using Quixer anywhere classical transformers have proven to be useful; such as language modeling, image classification, quantum chemistry, and beyond. More excitingly, we expect use cases to emerge that are quantum-specific, impossible on classical hardware.

This milestone isn鈥檛 just about one model. It鈥檚 a signal that the quantum AI era has begun, and that 夜色直播 is leading the charge with real results, not empty hype.

Stay tuned. The revolution is only getting started.

technical
All